AI models like ChatGPT reflect societal biases that exist in their training data. Here’s a simple way to see this in action:
Ask it to draw a nurse. You’ll likely get a woman.
Now, ask it to draw a CEO. You’ll probably see a man.
Here’s what I got:
This gender bias isn’t just limited to images. ChatGPT can perpetuate stereotypes and biases around:
Gender roles and professions
Cultural perspectives
Socioeconomic assumptions
Historical narratives
Geographic representation
For example, when asked about “traditional family values” or “successful business practices,” ChatGPT might default to Western, male-dominated perspectives without acknowledging other viewpoints.
What does this mean for you?
Always cross-reference important facts from multiple sources
Be aware that ChatGPT’s responses may reflect societal biases
Ask follow-up questions to get different perspectives
Use ChatGPT as a starting point, not the final authority
Consider whose viewpoints might be missing from its responses
Remember: ChatGPT is an incredibly powerful tool, but it’s trained on human-created data—which means it inherits human biases. So, use it wisely by staying critical and conscious of these limitations.
How to Use ChatGPT: Step-by-Step Beginners Guide
If you’re new to ChatGPT, getting started is easy.
You’ll be using it like a pro in just a few steps.
Step 1: Choose the Right ChatGPT Account Type
There are three ways to access ChatGPT, depending on what you need.
Guest Access
You can try ChatGPT right away with “Guest Access.” No need to sign up.
Turn memory on, and ChatGPT will learn from your past conversations.
You won’t have to repeat yourself every time you start a new chat.
Over time, it’ll remember details and give you more relevant responses.
Turn memory off and every session starts fresh.
This is great if you prefer more privacy.
Or don’t want past conversations influencing future replies.
You can also erase stored memories.
Click “Manage memories” in the “Personalization” window.
And you’ll see a new window where you can erase all memories or delete specific ones.
Personalizing ChatGPT: Make It Work Your Way
ChatGPT doesn’t have to sound the same for everyone.
You can easily customize it.
Just go to “Profile” (at the top right) > “Customize ChatGPT.”
Then, enter basic details like your name and profession.
Next, customize ChatGPT’s personality.
You can specify:
Tone: Friendly, casual, professional?
Response length: Brief and direct or in-depth?
Persona: Strategist, a teacher, or something else?
For example, if you want it to write in Backlinko style, you could type:
Write in the Backlinko writing style. Be direct and cut the fluff. Every sentence should be actionable. Do not use long complicated words when a simpler, shorter word exists.
If you’re not sure what to write, you can ask ChatGPT.
Here’s one way you can do that using your brand’s messaging document.
Upload the brand guide to ChatGPT and write:
Attached is [YOUR BRAND’S] content guideline. In under 1,500 characters, summarize [YOUR BRAND’S] voice, tone, and personality.
Advanced tip: I’ve noticed that ChatGPT doesn’t always stick to the personality I want. If you see that, too, do this:
First, give it this instruction.
“You have different personas. When I write [keyword], use that persona.”
Then, define the persona:
For example, for Backlinko, I write:
“[backlinko]: Be direct. Write clearly. Use short, punchy sentences with a confident tone. Make it easy to skim and focus on real, tested advice. Skip the jargon and write using the active voice. Keep the language simple (6th-grade level).”
Now, whenever I want ChatGPT to respond in Backlinko’s style, I start the chat with [backlinko].
The great thing about this?
You can add multiple personas for different tasks. And then you just add [keyword] to call that persona into the chat.
Some of my favorites include:
[80/20]: Focus only on the 20% of knowledge or actions that drive 80% of results. Prioritize key takeaways.
[teacher]: Break concepts into step-by-step explanations with real-world examples, analogies, and case studies.
The final section in customization is “What should ChatGPT know about you?”
Here, you personalize ChatGPT to your life and work.
What should you add?
Think about how you’ll be using it, then add relevant instructions.
For example, if you’re vegetarian with some dietary restrictions and you often use it for meal planning, you can write:
My family is vegetarian. One of our children has a peanut allergy, and the other doesn’t eat onions. Always make sure that the meals you create follow these restrictions.
Here’s another example if you use ChatGPT for work.
Say you have an ecommerce store.
You could add:
I sell handcrafted plant baskets made from sustainable materials. I have customers all over the world who are eco-conscious. I write in a warm but expert tone. I’m knowledgeable but never preachy. I have a small marketing budget. I do mostly organic content and paid ads.
Control Your Privacy
By default, OpenAI may use your conversations to improve the model.
If you’d rather keep chats private, you can turn this off.
Go to “Profile” > “Settings” > “Data Controls” and toggle “Improve the model for everyone.”
Once you do this, it won’t use your conversations for training.
And that’s it.
Your AI is now customized for you.
Go test ChatGPT with a few questions.
And see how well it adjusts based on your customizations.
Still not customized the way you want it?
Go back to settings and keep refining.
Step 3: Learn to Write Better Prompts
If you want high-quality answers from ChatGPT, you need to write better prompts.
Bland or generic answers usually mean a prompting problem.
Why?
Because when you give ChatGPT a vague question, it has to fill in the gaps.
And from what I’ve seen, it plays it safe by giving you the most generic explanations.
You don’t want that.
So how do you fix it?
Let’s get Google to help.
In its prompting guide, Google states that a good, detailed prompt includes four elements:
Task: What you want ChatGPT to do (explain, analyze, compare)
Context: Relevant background info (who, what, where, why)
Persona: The role ChatGPT should take (expert, teacher, consultant)
Format: How the response should be structured (step-by-step, bullet points, examples)
Adding just task + context makes a big difference.
Use all four, and you get much better answers.
Let me show you the difference in answer quality between a basic and an optimized prompt.
A basic prompt:
Give me unique marketing tips for a tour guide.
What do you get?
A generic list that can work for any tour guide anywhere in the world:
Now, add task + specific context:
Since ChatGPT has specific details to work with, the answer is more relevant.
We’re not done yet.
How about using all four elements using this prompt?
Act as a tourism marketing expert with 20 years of experience. I’ve just started a tour company in Málaga, Spain. The competition is fierce, so I need to stand out. Your task: identify three unique viral marketing strategies. The output should be a numbered list with one real-world example for each.
That level of detail gives you a more hyper-specific answer:
Step 4: Get Better Results With Frameworks
Frameworks help ChatGPT focus its thinking so its response becomes clearer and more organized.
So, instead of saying, “Give me an SEO strategy,” or “Give me content ideas,” specify a framework.
For example, in the Málaga tour guide prompt above, try using the STP framework (Segmentation, Targeting, Positioning).
You might say:
Act as a tourism marketing expert with 20 years of experience. Use the STP framework (Segmentation, Targeting, Positioning) to develop a unique marketing strategy for a tour guide in Málaga, Spain. Identify a specific segment of travelers, explain the best way to target them, and position the tour guide’s services for maximum appeal.
Much. Better. Answer.
But what if you don’t know any frameworks?
No problem.
Just ask ChatGPT.
All you have to do is choose the best one.
Step 5: Refine ChatGPT’s Responses with Follow-Ups
ChatGPT’s first answer isn’t always the best, especially for complex topics.
How do you improve it?
Keep asking questions.
Here’s what I mean.
Imagine you’re a social media manager launching a smart water bottle that reminds users to drink.
Your first prompt might be:
Give me a list of interactive social media campaign ideas. Context: We’re launching a new product: a smart water bottle that reminds users to drink. You’re a social media strategist with 10 years of experience.
ChatGPT gives you a list:
It’s a good start.
But it’s not enough to have a clear launch strategy.
So, you dig deeper.
If the reply is too generic, ask for more details.
If the answer is too theoretical, ask for clear, actionable steps.
Or you can focus on one thing in the list.
Keep refining your questions until you have everything you need.
By doing this, ChatGPT becomes more of a collaborative partner.
And you get a final output that’s a blend of AI and your knowledge and topical expertise.
Why not add everything in one big prompt?
You could.
But it’s not always the best approach.
Yes, some prompts are simple enough that they don’t need iterative refining.
But for complex ideas, refining step by step gives you more control over the output.
Personal insight: When conversations with ChatGPT get longer, it can go into a rabbit hole and lose track of the original task. When this happens, I bring it back with a prompt like:
“Go back to the original task. Do you remember it?”
If the response shows that it has forgotten some details from the original prompt, remind it explicitly:
“We were working on [ORIGINAL TASK]. Pick up from where we left off.”
This helps bring the conversation back to the task you set out to do.
Fun Ways to Use ChatGPT for Life and Work
One of the most powerful things about ChatGPT?
It can take on different roles.
It can be your personal assistant, researcher, strategist, problem-solver, and more.
ChatGPT as 24-7 Personal Assistant
ChatGPT can be your assistant for work and daily life.
Need help with life planning, SEO, or optimizing your habits?
Done.
For example, you can use it to review legal documents.
Upload a PDF, like a client agreement, and ask it to explain the legal jargon. Or point out unfair clauses.
It’s great for mundane tasks, too. Like cleaning up video transcripts.
Paste (or upload) the transcript.
And ask ChatGPT to organize it better.
Saves you so much time.
Personal insight: I recently used ChatGPT to help me organize my Obsidian vault (Obsidian is a personal knowledge management tool.)
I wanted a clean, scalable folder structure that matched my use case.
So, off to ChatGPT I went and wrote this prompt:
Create a folder structure for Obsidian that helps organize personal insights, research, and notes. The folder structure should make finding and linking notes easy while keeping things simple and scalable. Strictly limit to five main folders. Make sure it’s organized so it’s easy to expand over time. Your output should be in a clear, hierarchical bullet format.
This response gave me a solid starting point to structure my folders.
It also saved me time by giving me a clear framework to customize instead of figuring it all out from scratch.
ChatGPT as Your Analyst
ChatGPT is also great for processing and analyzing data.
A few things it can do:
Clean up raw data
Identify patterns
Extract insights
Side note: Data analysis works best with the paid plan. The free version may not always deliver the same level of detail.
Here’s a great example of how you can use its data analysis capabilities for digital marketing.
Let’s say you run an online store.
You want to analyze your competitor’s Google Shopping Ads using the Product Listing Ads (PLAs) data you got from Semrush.
Do this:
Upload the data to ChatGPT and use this prompt:
Analyze this Product Listing Ad (PLA) data for BestBuy.com from Semrush. Give me the top five takeaways that will help me. Show your work.
Just like that, ChatGPT will identify patterns and trends from the Semrush data:
Expert tip: Want to double-check the analysis? Add “Show your work” to your prompt. This tells ChatGPT to explain its thought process so you can verify and refine the answer.
ChatGPT as a Thought Partner
ChatGPT is great for learning and skill development.
For example, you can use it as a conversation partner when learning a new language.
You can also use ChatGPT to stress-test your thinking.
It can challenge your assumptions and poke holes in your reasoning.
I even use it to analyze my content outlines for writing projects.
Fun fact: Being nice to ChatGPT can lead to better responses. Research shows that using polite, supportive prompts leads to better answers.
Pageviews are a web analytics metric that counts each time a visitor loads or reloads a page on your website.
Each instance of a user viewing a page is one pageview, regardless of whether the same user views the same page multiple times.
Tracking pageviews helps you measure traffic volume and understand which content attracts the most attention.
But:
Pageviews are not the most important metric you should track. I’ll explain why below, but first let’s clarify what they are in the context of a few other metrics.
Pageviews vs. Users vs. Sessions
Pageviews represent the total number of times people view your pages. If someone visits your homepage, clicks to your blog, then returns to your homepage, that counts as three pageviews.
Unique pageviews, on the other hand, combine multiple views of the same page during a single session. If that same visitor views your homepage twice in one session, it would count as just one unique pageview.
In the context of analytics tracking tools, unique pageviews were a Universal Analytics metric. Google Analytics 4 (GA4) doesn’t track unique pageviews.
A user is an individual person visiting your site. A session is a group of interactions one user takes on your site within a given time frame.
Here’s an example of how these all tie together:
Imagine someone discovers your site through Google. They land on your homepage, check out your about page, read a blog post, go back to the homepage, then get distracted by a phone call.
Two hours later, they return to your homepage, browse your product page, and then make a purchase through your checkout page.
Here’s how your analytics would count this activity:
Users: 1
Sessions: 2 (the initial visit and the return visit)
Pageviews: 7 (homepage, about page, blog post, homepage, homepage, product page, checkout)
Unique pageviews: 6 (the double homepage visit in the first session would count as one unique pageview)
Understanding these distinctions helps you interpret your data accurately and make better marketing decisions.
For example, a high pageview-to-user ratio means visitors are exploring multiple pages on your site. This is generally a good sign of engagement.
This is just one reason it’s important to track pageviews alongside other metrics.
Why Pageviews Aren’t the Most Important Metric to Track
Pageviews tell you how many times your pages are being viewed by your audience.
But they don’t tell you:
If those visitors had a good experience
If they want more of your content
If they want to buy from you
That’s why pageviews are sometimes described as a vanity metric.
Sure, it feels great to see that graph trending upward. But more pageviews doesn’t automatically mean more business.
Put it this way:
Would you rather have 100K monthly pageviews with a 0.1% conversion rate, or 10K pageviews with a 3% conversion rate?
The big number is attractive, but the math is clear: the latter gives you 3x as many conversions (300 vs. 100).
But what about 100,000 pageviews and a 0.3% conversion rate? You’re still getting the same number of conversions, and you’re reaching a much bigger audience.
I’d still take the 10K visitors with the 3% conversion rate.
Why?
Two reasons:
Higher conversion rate means I’m better catering to what my audience actually wants
There’s room to scale that 10K with a high conversion rate for even more conversions
If my realistic target market is 200K people per month, I can only double my audience size with the first example. With a 0.3% conversion rate, that would be a total of 600 conversions each month.
But with the 10K example and a 3% conversion rate, there’s room to potentially scale my audience size by 20x. While obviously a big feat, this could eventually lead to 6,000 new customers each month.
Obviously this is a major simplification. There are factors like marketing fatigue, limits on the number of potential customers that would ever become paying customers, and limits on my own abilities to scale.
But I’d always take a smaller, more engaged audience that converts more often over a larger, less engaged one.
In organic search, this means meeting the search intent. For paid ads, it could be a matter of producing great creatives and landing pages.
Conversion rates aren’t the only metrics to track either. Other important ones include:
Average order value (AOV)
Customer acquisition cost
Customer lifetime value
Return on ad spend (for paid advertising campaigns)
These metrics tell you how well you’re positioning your products, how targeted your audience is, and how effective your ad campaigns are. Insights you can’t get from pageviews alone.
Pageviews, Cookies, and Bots
There’s another reason you shouldn’t just pay attention to pageviews: you can’t always trust the numbers.
With a focus on privacy, the digital world is trying to move away from tracking measures like third-party cookies.
Tools like Google Analytics rely on cookies and tracking codes to track pageviews, so user consent levels can affect the numbers.
You might have 500 people visit your page in a month. But if 250 of them decline your tracking cookies, your analytics will be off by 50%.
Not only that, but we also can’t ignore the potential for bot traffic. Google Analytics does a reasonable job of filtering these out, but it’s not perfect.
So you can’t always take your pageviews metric at face value.
But which numbers don’t lie?
Your conversions.
Bots don’t tend to buy things, and even if a user denies cookies, they can still sign up to your email list, download a template, or buy your products.
This is why your bottom line metrics are far more important to track than just watching your pageviews number.
With that said, pageviews do matter a lot in certain contexts.
When Pageviews Are Actually Important
Pageviews are an important measure of your overall reach. This in itself is helpful as a site owner.
But pageviews are particularly important in a few other cases.
Display Ads
If you run display ads on your site, pageviews directly impact your bottom line. More eyeballs on your pages typically means more ad impressions and more revenue.
That’s because display ad networks tend to pay on an RPM basis, or revenue per thousand impressions.
This is why news sites and entertainment blogs in particular obsess over pageviews. Their business models depend on it.
Brand Awareness
When you’re trying to grow your brand awareness, getting more pageviews indicates you’re reaching a wider audience.
If your goal is simply to get your brand in front of as many people as possible, it makes sense to focus on pageviews.
How to See Pageviews in Google Analytics
Google Analytics is the interface most people will likely be familiar with when it comes to tracking pageviews. They’re no longer actually called pageviews, and are simply referred to as “views” now.
But for all intents and purposes, they’re the same thing.
How to Find Pageviews in GA4
Google Analytics 4 works differently from Universal Analytics, which it fully replaced in 2024. Instead of focusing on pageviews by default, it’s built around “events,” and pageviews are just one type of event (labeled “page_view”).
You can see your site’s total pageviews on the overview page in your GA4 property. If it doesn’t display by default, just click the drop-down and set it to “Views.”
But to see pageviews by page, first click “Reports” > “Life cycle” > “Engagement” > “Pages and screens.”
You’ll end up on the “Pages and screens” report.
This shows a graph and table of your pages with the most pageviews (again, just called “views” in GA4).
If you scroll down, you’ll see a table with page views, along with other metrics like users and information about engagement.
You can sort by pageviews to quickly see which of your pages are underperforming.
You can also search for specific pages to track their performance:
How to See How Many Pageviews Other Websites Get
Understanding how many pageviews your site gets is clearly useful. But it’s even more useful when you can compare that number to your competitors.
You can get an estimate of how many pageviews a site gets using a traffic checker, like our free traffic checker tool:
However:
There’s no fully accurate way to see how many pageviews another site gets without seeing its analytics dashboard.
Measuring pageviews accurately requires you to have a pixel or code snippet on your site. If it’s not your site, you can’t see how many times that snippet fires.
Other tools simply measure estimates based on various data sources. These could be their own user panels or publicly available data sources.
Their accuracy varies widely depending on the site’s size and industry. They tend to be more accurate for larger sites with more traffic (as they’ll naturally just have more data to use).
So they’re best used for understanding trends, rather than absolute numbers.
Here’s an example:
Imagine you’re the owner of Mountain Bean Coffee, a brand that offers specialty coffee. And let’s imagine you know from GA4 that you get 22K pageviews per month.
You identify a few of your competitors, and you want to compare their pageviews to yours. You know you can’t get 100% accurate numbers. So instead, you look for a trend by entering them all into a traffic checker tool.
You stick your site in, and it tells you that you get 16.4K visits per month.
Even though this is lower than your actual pageview count, this is your baseline that you’ll use to compare to your competitors.
You pop three competitors into the same tool, and it suggests you’re somewhere in the middle when it comes to traffic levels:
MakersCoffee.com: 4.6K
PressCoffee.com: 8.2K
DrinkTrade.com: 303.9K
You can see you’re driving more traffic than some competitors (like Maker’s Coffee). But you’re not at the level of Trade Coffee yet.
You know these aren’t the exact numbers of pageviews they get. But you can use this as a guide going forward.
For example, imagine Press Coffee’s number of visits increased to 20K while yours only rose to 18K.
Their estimated count is still lower than your actual count. But you can probably be quite confident they are now getting more pageviews than you.
Monitor More Than Just Pageviews
While pageviews can be a useful indicator of site traffic and content popularity, they’re just one way to track website performance.
For most businesses, the metrics that matter most are those that directly impact revenue and growth. Like conversion rates, customer acquisition costs, and lifetime value.
Tracking brand mentions across social media and news platforms
Starts at $49 per month; 14-day free trial available
1. Brand24
Best for spotting sudden spikes in mentions and identifying key influencers
Pricing: Starts at $199 per month; 14-day free trial available
Brand24 is an AI-powered media monitoring tool. It lets you track online mentions, analyze sentiment, and spot early signs of PR crises.
This tool stands out by tracking more than social media and news platforms. It also monitors podcasts and influencers, giving you a complete view of your brand.
Here’s what I love about Brand24:
Spot Sudden Spikes in Mentions to Immediately Act on Them
Brand24 uses AI to detect unexpected spikes or drops in brand mentions. It’s marked with an exclamation mark in your dashboard so you don’t miss it:
This is important because online conversations can change fast.
A spike in mentions may mean a PR crisis. A negative review might be going viral, or a complaint is spreading fast.
On the flip side, it could signal an opportunity to capitalize on. Like a post about your brand going viral in a positive way, or an influencer giving you a shoutout.
But how do you know whether the spike is positive or negative?
Brand24 uses AI to analyze the sentiment behind each mention. It checks if the spike is caused by positive buzz, negative feedback, or neutral chatter. This way, you can take the right action fast.
For example, Barbie had a significant spike in mentions in 2024 due to the Golden Globes event:
Brand24 tells you why the spike happened and shows you where it’s coming from. In the screenshot above, you can see it flagged Barbie’s spike due to the Golden Globes event.
It highlights key details like:
Why the spike occurred (Golden Globes event)
Which platforms drove the mentions (Instagram, TikTok, YouTube)
What type of sentiment was detected (positive admiration and awards)
The summary may not explicitly say “positive” or “negative.”
However, you can infer sentiment from the language used (“high admiration,” “winning awards”) and cross-referencing with the Sentiment tab at the top.
Track Podcast Mentions of Your Brand
Brand24 scans thousands of podcasts and alerts you whenever someone mentions your brand in a podcast title or description.
This way, you don’t miss critical conversations happening in the audio space.
You can view podcast mentions in the general Mentions tab. Or filter them by source:
People talk about brands on podcasts all the time. Whether it’s a CEO interview, product review, or deep-dive industry discussion.
But since podcasts aren’t text-based, these mentions are easy to miss.
Podcast tracking helps you:
See when influencers talk about your brand
Respond to negative mentions fast
Use positive mentions in your marketing
Identify Key Brand Influencers
Brand24 helps you find the most influential people talking about your brand. You can rank them based on number of mentions, reach, audience size, and impact:
Here’s why each filter matters and how you can use them:
Mentions: See how often someone talks about your brand. High mentions mean they’re actively discussing you, whether positive or negative. Use this to engage or address concerns quickly.
Reach: Shows how many people might see their posts. Use this to prioritize working with influencers with high reach to spread your message.
Influence score (impact): Shows how persuasive or credible the person is. This helps you spot trustworthy advocates or negative influencers before misinformation spreads.
Make Reports in One Click
Create reports to share insights with your team or clients.
Brand24 supports various formats like email, PDF, and Excel.
You can also create infographics:
Pros & Cons
Pros
Cons
Track podcast mentions
Doesn’t scan podcast transcripts; only tracks mentions in episode titles and descriptions
Identify potential PR crisis early on
The dashboard isn’t visual, so it may look overwhelming for beginners
2. Reviewflowz
Best for collecting reviews on autopilot
Pricing: Starts at $15 per month; 14-day free trial available
Reviewflowz is a powerful review management platform. It helps you collect, keep an eye on, and show customer reviews.
Here’s what I liked about Reviewflowz the most:
Launch Targeted Review Request Campaigns
Reviewflows automates review collection in two ways:
Email campaigns: Send automated review requests after purchase, with customizable templates and follow-up scheduling
Magic links: Generate unique URLs that take customers directly to your review form—perfect for adding to receipts or sharing via SMS
Best part?
When you set up an email campaign within Reviewflowz, you can choose when to request reviews:
Always request reviews from your email list to get as much feedback as possible
Only request reviews when a star rating drops under a certain threshold (lets you improve your reputation when your review score starts to drop)
Quickly Reply to Your Customer Reviews
Link your channels (like Slack, email, and Microsoft Teams) to get instant alerts for new reviews:
These notifications let you be in the loop and address critical reviews in time.
Once connected:
Slack: New reviews are sent directly to a public Slack channel in your workspace
Email: Reviews land in your inbox
Microsoft Teams: Reviews show up in a designated Teams channel
Zapier and Webhooks: You can set up automations to trigger custom workflows
You’ll see all reviews in real time. From there, you can decide which ones need immediate attention—whether it’s a low rating, critical feedback, or a chance to thank a happy customer.
Plus, you can use AI to create and send automated replies to happy reviewers that are always within your brand’s tone.
Show Best Reviews on Your Website
Display your best reviews automatically with Reviewflowz’s customizable, mobile-friendly widgets.
Each widget automatically updates with new reviews and lets you filter by rating to showcase your strongest feedback.
Choose from:
Masonry: A stack of reviews, which turns into a list on mobile
Slider: An interactive slider that shows up to three reviews horizontally and one on mobile
Then select the review sources, the number of reviews to display, and which reviews to show based on star ratings:
Pros & Cons
Pros
Cons
Email campaigns to gather more reviews with ease
Doesn’t track social media mentions
Customizable review widgets to showcase your feedback
AI-powered review responses
3. myPresences
Best for managing brand presence on different platforms and engaging with reviews
Pricing: Starts at $15 per month; 14-day free trial available
myPresences is an all-in-one online presence and reputation management platform.
It helps you appear in business directories, track customer reviews and engage with them.
Plus, you can display feedback on your website.
Here’s what I like about myPresences:
List Your Business Where It Matters Most
Listing your business on every platform takes a lot of time. It’s also prone to mistakes.
And when you update a phone number, move, or change a website URL, fixing it everywhere can take weeks.
myPresences makes it easy to list your business details on more than 2,000 directories.
You enter your business details once. Then, this tool pushes your business info on your chosen platforms.
But why does this matter? Is getting listed on Google not enough?
Not really.
Customers may use many different platforms to find your business, such as local directories and industry platforms.
Or they may check your website on a review site before they buy from you.
If you rely only on Google, you might miss out on potential customers who search elsewhere.
For example:
If your business is local, you’ll need to be on Yelp, TripAdvisor, and Google Business Profile (GBP)
If you manage a SaaS brand, being on review sites like G2, Capterra, and Trustpilot is crucial since some consumers go here before making a purchase
If you provide medical, legal, or real estate services, niche directories matter (Healthgrades, Avvo, or Zillow)
Check and Respond to Reviews Across Platforms
myPresences centralizes reviews from all major review sites. This helps you check and respond efficiently.
You can see a quick overview of your star rating distribution across all platforms in a pie chart:
Additionally, you can automate your responses with AI:
This lets you quickly respond to common reviews while keeping a consistent tone.
Showcase Customer Reviews on Your Website
myPresences allows you to show your best reviews on your website.
You can use customizable widgets for this:
Popup: Individual reviews appear as a small floating box on each page. They don’t take up much space and can appear sitewide.
List: A simple, single-column format. It’s ideal if you want them stacked clearly in one spot.
Grid: A three-column layout for showcasing many reviews at once. It’s great when you want to highlight volume and variety.
Carousel: A dynamic slider that rotates the reviews for an interactive experience. Perfect if you want to save space and make the page engaging.
You can avoid the task of copying and pasting reviews on your site. myPresences pulls in reviews automatically and updates them in real time.
This gives you fresh and authentic social proof.
Pros & Cons
Pros
Cons
Add your business details on directories that matter in your industry
Listing your details on business directories costs extra, up to $5 each. This can increase your expenses.
Manage all reviews in one place
4. Semrush Local
Best for managing local business reviews in one place and keeping listings accurate
Pricing: $50 per month + the plan you choose ($139.95/mo for Pro)
Best for tracking your brand mentions across social media and news platforms
Pricing: Starts at $49 per month; 14-day free trial available
Mention is a social media listening tool that monitors your online presence and analyzes brand mentions.
Let’s take a look at Mention’s key features:
Track Your Brand Mentions Across Channels
Mention tracks more than one billion sources. It checks for real-time brand mentions on social media, news sites, blogs, and forums.
All these are in one dashboard. You can expand each mention and see the preview of the post that includes your business name. And even know the sentiment behind the mention:
Mention also provides a link to each source. This takes you straight to the original post so you can join the conversation directly on the source site.
Create Real-Time, Visual Reports
Mention lets you make reports based on what matters most to you. This helps you analyze your brand’s online presence better.
You can either choose from predefined templates for quick insights:
Or customize reports by selecting the exact data you want to track:
In both cases, reports are real-time and visual.
Mention also creates automatic highlights. Like sudden mention spikes:
This lets you see key trends at a glance, so you don’t have to sift through long reports.
Pros & Cons
Pros
Cons
Covers a wide range of sources
Only supports text, podcasts are not included
Prompt notifications about your brand mentions
FAQs
How Do I Manage My Online Reputation?
Managing your online reputation involves:
Monitoring brand mentions across social media, news, and review sites
Responding to customer feedback
Encouraging happy customers to leave reviews
Addressing negative content with strategic responses
Keeping business listings accurate across all platforms
How Long Does It Take to See Results from Reputation Management Tools?
Reputation management tools provide insights immediately. However, improving your reputation by collecting more positive reviews, content, and SEO can take weeks or months, depending on your strategy.
Can Reputation Management Tools Remove Negative Reviews?
No, reputation management tools can’t remove negative reviews. They help you improve sentiment over time, and report false reviews if necessary.
What Metrics Should I Track to Measure Reputation Improvement?
Track the following metrics to improve your reputation:
Review ratings: Changes in star ratings across platforms
Brand sentiment: Positive vs. negative mentions over time
Mentions and reach: How often people discuss your brand online
Crisis alerts: Any sudden spikes in negative mentions
Ready to Choose Your Online Reputation Management Tool?
The best ORM tool for you depends on what you need most:
Want to track brand mentions? Brand24 and Mention help you stay on top of conversations.
Need help collecting reviews? Reviewflowz lets you automate review campaigns.
Need to manage your business details on business directories? For a local business, use Semrush Local. For a SaaS brand or professional services business, go with myPresences.
After choosing the best tool for your needs, expect the following:
First month: Set alerts, connect accounts, and test automation
Second month: Track trends and respond to reviews
Third month: Improve your strategy and let automation handle more tasks
Pro tip: Even the best tools need active engagement. Check in often. Respond to feedback quickly. This keeps your online reputation strong.
Want to discover more tools to help with your marketing processes? Check out our article on 33 digital marketing tools that suit various business needs and budgets.
If you publish writing, you’d be crazy not to use artificial intelligence.
It’s like telling a carpenter not to use a drill. You can build a deck without one. But why would you?
Writers have always embraced new tools to improve their craft.
The challenge with AI, or any technology, is that we want the easy way out.
We hope the tech will magically automate everything. And for mediocre content, AI is the perfect solution.
But creating exceptional content is HARD. No matter what tool you use.
For example, I used AI extensively to write this article.
Yet, it still took me 40+ hours to produce.
Why?
AI has made me realize how much I can improve my content. And you can, too.
I asked our content team about how they use AI in their writing and editing.
Our senior writers Yongi Barnard, Kate Starr, Shreelekha Singh, and senior editors Chris Hanna and Chris Shirlow shared their workflows and insights, which I’ll feature throughout this article.
These talented folks help Backlinko generate almost 800,000 sessions per month.
Below are seven timeless writing practices supported by AI.
Let’s start with planning your writing project.
1. Use AI to Define Your Audience
Without a deep understanding of your audience, even brilliant insights can fall flat.
AI makes reader research way easier.
You can analyze thousands of real conversations in minutes. No need to spend weeks on interviews or surveys.
A Faster Way to Do Audience Research
Using this article as an example, I wanted to understand how people felt about using AI for writing.
The best place for unfiltered thoughts? Reddit.
So, I Googled “reddit using ai to write good content” and found dozens of threads.
I gathered a handful of community discussions and exported them as PDFs.
I’m researching for a piece about using AI to write good content. I’ve attached five relevant Reddit threads. Please analyze these conversations and create a table of:
Desires: What do people want to achieve?
Pain points: What problems or challenges do they face?
Objections: What concerns or resistance do they express?
For each theme, please include a relevant supporting quote from the discussions.
The result was eye-opening.
The analysis revealed patterns I hadn’t considered.
It also included quotes that captured the audience’s raw emotions and language.
This helped me ground my writing in real experiences.
You don’t have to follow my exact process. For instance, Kate Starr, our senior writer, uses various sources for audience research:
“I often feed different data sources to AI. This includes Google’s People Also Ask sections and client conversation transcripts. The key is finding real conversations where your target audience expresses their challenges.
I recently took a consulting call transcript and created a detailed customer persona. This helped shape our entire content strategy”.
The key is to use AI to:
Process large amounts of audience data quickly
Identify patterns you might miss manually
Connect insights to real human experiences through quotes
Tip: Create a folder of interesting community discussions. When you find an engaging thread, save it immediately. You never know when that insight will be useful for future content.
2. Use AI to Find Your Unique Angle
It’s easy to get inspired by popular content in your field and remix those ideas.
That’s exactly what AI does by default, too.
A better approach?
Find perspectives that other content and most LLMs overlook. This makes your writing fresh and engaging.
Here’s how to do it in three simple steps.
Step 1: Gather Your Source Material
Find the top 3-5 posts for your topic.
You can do this for social media posts, articles, and emails (if you have access).
For instance, I found three posts on AI writing and copied them to a Google Doc before exporting the text file.
Step 2: Get AI to Summarize the Data and Suggest Ideas
Take your source materials from Step 1 and ask AI to create a comprehensive analysis.
Here’s a prompt:
I’ve shared several articles about [TOPIC]. Please analyze them and create a detailed breakdown with these categories:
Common Patterns:
List 3-4 approaches that appear frequently
Include specific examples from the articles
Note any patterns in structure or presentation
Assumptions Made:
List 3-4 assumptions these articles make without questioning them
Point out any gaps in evidence or logic
Identify claims that could use more support
Missing Views:
List 3-4 important perspectives that aren’t being discussed
Note any audience needs that aren’t fully addressed
Highlight opportunities for deeper coverage
Notable Elements:
List any unique or particularly effective approaches
Point out strong evidence or examples
Identify innovative structure or presentation
Here’s the output for using AI in writing:
Category
Details
Common Patterns
Tool comparisons focusing on features over strategy
Basic “input/output” workflow examples
Generic productivity benefits without specifics
Heavy focus on prompt engineering
Assumptions Made
More AI usage automatically means better content
Readers already understand AI fundamentals
One-size-fits-all approaches will work
Ethical concerns can be handled with simple disclaimers
Missing Views
Quality control processes and measurements
Strategic frameworks for tool selection
Real examples of human-AI collaboration
Cost-benefit analysis for different approaches
Notable Elements
One article included detailed workflow diagrams
Another featured mini case studies of failures
Several had good ethical guidelines
One included original research on AI output quality
After analyzing, ask the AI for new ideas based on the opportunities it found.
Here’s what Claude came back with for this article:
Step 3 – Analyze and Refine Your Angle
Sometimes, the angles are usable with the first output.
But often, it’s a dance between you and the robot to find something compelling.
Here’s how this process shaped this article:
While plenty of tool comparisons and basic workflows existed, few posts offered strategic frameworks for using AI effectively.
As I dug deeper, I noticed something more fundamental.
Everyone was focused on making writing easier. Tools, prompts, shortcuts.
But they were missing the tough reality:
Creating top-notch content is difficult. With AI or not.
That became my angle: How to use AI thoughtfully while embracing the necessary work of writing great content.
Pro tip: Your first insight often leads to an even better angle. Don’t be afraid to evolve your thinking beyond what the initial analysis shows.
3. Use AI to Create An Outline
Nearly every exceptional piece of content starts with a detailed plan. But many writers skip this step.
You risk wasting hours writing in circles or missing the brief entirely.
That’s why our team never writes a draft without a thorough outline.
With AI, creating that outline just got a lot easier.
Strengthen Your Draft Outline Through Collaboration
It’s tempting to ask AI to create your entire outline (losing your unique perspective). Or ignore AI completely (missing valuable insights).
A better approach?
Treat AI as a thoughtful discussion partner.
Our senior editor, Chris Shirlow, emphasizes using AI strategically during outlining:
“I use my own competitor analysis to create outlines first. Then, I’ll use AI to spot potential gaps. For example, when outlining an email marketing guide, AI might suggest adding a section on automation that I hadn’t considered”.
The key is to start with your own research. This ensures the foundation reflects real expertise. Then, use AI to refine and expand your thinking.
With this article, for example, I started with some loose structural notes:
Demand
Audience
Angle
Structure
Research
Writing
Visuals
Enhancements
Editing
Then, I prompted Claude with some attached reference material.
Hey Claude, I’m writing an article about using how to use AI to write better content. I’ve prepared my brief and a very loose outline. I’ve also attached an article that inspired the idea.
What are your initial impressions of my approach?
Claude’s analysis (I’ve summarized the output):
Strong Points
AI positioning: Framed as a tool (like a carpenter’s drill) rather than a replacement
Timeless focus: Principles over specific AI tools/prompts for longer relevance
Credibility: Using concrete case studies and personal examples
Areas for Development
Structure: Consider combining overlapping principles (e.g., “Audience” and “Research”)
Implementation: Add more specific examples of AI enhancing each practice
Meta-narrative: Strengthen how we’re using AI to write this very article
Balance: Include section on AI limitations for completeness
From the AI’s first output, we started our collaboration.
Claude helped me name each element “practices” instead of “tips.
We challenged each other on the substructure of each practice.
Then it suggested H2s—many of which I didn’t like.
Through a LONG chat and many pauses of me returning to my document, we landed on an outline.
Here’s how the structure evolved through discussion:
Version 1
Version 2
Version 3
Version 4
Version 5
Demand
Deep Research: Moving Beyond Surface-Leval Facts
Talk to Your Customers First
Define Your Audience
Use AI to Define Your Audience
Audience
Audience Understanding: Creating Content That Deeply Resonates
Build Your Audience Map
Find Your Unique Angle
Use AI to Find Your Unique Angle
Angle
Strategic Positioning: Finding Your Unique Angle
Develop Your Unique Angle
Create a Clear Outline
Use AI to Create an Outline
Structure
Narrative Architecture: Building Clear, Compelling Flow
Structure Your Content Flow
Research Your Topic
Use AI to Research Your Topic
Research
Evidence & Examples: Making Ideas Concrete
Show, Don’t Just Tell
Writing Engaging Content
Use AI to Write Engaging Content
Writing
Voice & Style: Crafting a Distinctive Presence
Find Your Brand Voice
Add Valuable Supporting Elements
Use AI to Add Valuable Supporting Elements
Enhancements
Enhancement Elements: Amplifying Impact
Add Powerful Enhancements
Edit for Impact
Use AI to Edit Your Draft
Editing
Refinement & Optimization: Polishing for Performance
Polish Your Final Product
This iterative process helped me:
Make headings more action-oriented
Create a consistent pattern (“Use AI to…”), which also helps for search engine optimization
Let’s look at how AI can help you turn this outline into content through research.
4. Use AI to Research Your Topic
Research has always been the foundation of excellent writing.
Pre-internet, research meant hours in libraries digging through catalogs, journals, and textbooks.
Then, digital changed everything. But it created a new problem:
Information overload.
Now you have instant access to millions of sources.
Blog posts. Academic papers. Community discussions. Expert interviews. Analytics data.
But do you have time to process it all?
That’s where AI shines.
It can scan thousands of sources in seconds, helping you catch insights you might miss.
Let’s explore how to use it effectively.
Using AI for Primary Research
When you do interviews, gather raw data, or run surveys, you create unique content that’s hard to copy.
The trick is to use AI throughout the research process—not just for analysis.
Planning Better Research Questions
The quality of your research depends on asking the right questions.
For example, when writing this article, I initially planned to use only my own AI experiences as examples. But something felt missing.
So, I started a discussion with Claude:
Me: I’m finding limitations in my thinking. I could add more perspectives by surveying our editorial team about how they use AI.
AI: This could significantly strengthen the article. Multiple writers demonstrating how they tackle AI challenges would make your points more powerful than theory alone.
Consider:
What specific insights you need
The most efficient way to gather them
How to make participation easy
With Claude’s validation, I developed survey questions through an iterative process.
If you want to try this approach, here’s a template to get started:
Before we design specific questions, please evaluate this research approach:
Target: [describe who you’ll survey/interview]
Goal: [what you need to learn]
Method: [how you plan to gather data]
Timeline: [your constraints]
Identify any:
Potential issues
Missing opportunities
Ways to improve efficiency
Then, the research questions:
Help me create [survey/interview] questions about topic.
Consider:
Audience: [describe participants]
Time constraints: [expected time commitment]
Key objectives: [list 2-3 main goals]
Required output: [what you need to create]
Structure questions to be:
Focused yet open-ended
Easy to answer quickly
Specific about examples needed
Finally, test your questions:
Here are my draft questions. Please analyze them for:
Clarity and potential confusion
Leading or biased language
Gaps in coverage
Logical flow
Example:
After several rounds with AI, my original idea of “let’s survey the team” changed to:
A focused survey using conditional logic
Clear examples of what I needed
A friendly, collaborative introduction
Specific prompts for AI usage
The result? Rich insights from the team that enhanced this article.
Getting More from Expert Interviews
Want to fully engage with your interview subjects while capturing all the details? AI can help.
Start by recording your conversations (with permission, of course). Have a real dialogue. Follow interesting threads. Then, let AI help you extract every valuable insight.
Here are some simple prompts:
Prepare your interview.
Please help me prepare for an expert interview about topic.
Review this background material and suggest:
Key discussion areas to cover
Follow-up questions for each area
Potential examples to request
Data points to validate
Process the recording.
I’ve shared a transcript of my expert interview about topic. Please:
Create a structured summary of key points
Extract specific examples and case studies
Identify unique insights or perspectives
Pull compelling quotes
Note areas needing clarification or follow-up
Validate insights.
Here are my key takeaways from the interview. Please:
Check if conclusions are supported by the transcript
Identify any assumptions I’m making
Suggest additional context needed
Note alternative interpretations
Making Sense of Raw Data
The challenge of research isn’t gathering data—it’s finding the story in it.
When our editorial team finished the AI usage survey, I faced this exact situation.
I wanted to process the responses quickly, but also to capture every valuable insight.
Here’s how AI helped me analyze the responses:
Get a high-level overview.
I’ve shared our team’s survey responses about AI usage. Please:
Identify common patterns across responses
Note unique or unexpected approaches
Highlight particularly detailed examples
Suggest potential themes to explore
Drill down to the specifics.
For the [specific practice], please analyze:
Different approaches team members use
Most successful use cases
Common challenges or limitations
Specific tools or prompts mentioned
Notable workflow differences
Extract supporting material.
From these responses about topic, please:
Find compelling quotes that illustrate key points
Identify concrete examples with clear outcomes
Note any interesting AI prompts shared
Suggest potential visuals or diagrams
This analysis revealed that our team uses AI differently for each practice. Some excel at research, others at editing.
For instance, everyone stressed the need to use AI carefully. And not fully depend on it.
Pro tip: Before using AI to analyze data, clearly define what “valuable insights” means for your project. This helps AI focus on what matters most.
Using AI for Secondary Research
Secondary research meant spending hours reading papers, reports, and discussions.
Not anymore.
AI reshapes how we process existing content.
Let’s look at some use cases.
Extracting Audio and Video Content for Gems
Some of the best insights are buried in hour-long podcasts and conference talks.
Founders share behind-the-scenes stories. Experts reveal their frameworks. And industry veterans discuss trends they haven’t written about yet.
But watching hours of video isn’t always practical.
AI can save time here.
Here’s how I used AI to extract powerful insights from founder interviews for my ecommerce growth strategies article:
First, I found a podcast where Who Is Elijah’s founders shared their journey to $20M in revenue.
Then, I used Rev AI to transcribe the full interview.
Instead of reading through 19,000 words of transcript, I had Claude analyze the conversation with this prompt:
I’m writing about ecommerce growth strategies. Please analyze this founder interview and:
Identify key decisions that drove growth
Extract specific metrics and results
Find unique insights about their process
Pull compelling quotes to support each point
The analysis revealed a fascinating story about operational efficiency:
They cut their team from 44 to 21 people
Shifted from full-time specialists to agency partnerships
Rebuilt their systems from scratch
Turned unprofitable (-60%) campaigns into winners
This single podcast gave me both a compelling case study and practical lessons readers could apply.
Synthesizing Complex Documents
Academic papers and industry reports contain valuable data. But they’re often dense, jargony, and hard to apply practically.
Shreelekha Singh, our senior writer, uses detailed context to get better research results from AI.
“When writing about AI in healthcare, I always share my article’s specific objectives and approach with Perplexity.
I’ll outline that I need evidence-based analysis focused on measurable outcomes. Not just predictions.
This detailed context helps AI find more relevant research papers and case studies.”
Another example:
When writing an article about information gain, I needed to wrap my head around Google’s patent application.
But it’s written in technical language that would make your eyes glaze over.
Instead of getting overwhelmed, I used AI to help me interpret this complex material.
I uploaded the patent application to Claude and asked about information gain signals.
Claude helped identify and explain relevant metrics like “UserActionSignals” and “ClickSatisfaction” in plain language.
I quickly learned Google’s process for evaluating and testing new information.
The same approach works for:
Academic papers and studies
Technical documentation
Industry reports
Legal documents
Research data
The takeaway?
Think of AI as your study partner. One that can read a 100-page document in seconds and explain the key points in plain English.
5. Use AI to Write Engaging Content
LLMs generate pretty good output with minimal prompting.
But producing engaging writing in your authentic voice? That’s where AI can be rather underwhelming.
I’ve been trying to write with AI since 2021, and I’m convinced the models have a default writing style.
AI LOVES writing in contrasting pairs: “Not this. But that.”
It also enjoys phrases like “transform,” “game-changing,” “leverage,” and “optimize.” (Not that there’s anything wrong with these words.)
And if AI could write your entire project in a list, it would.
If you’re often dissatisfied with the output, let me show you how to get better results.
Create Excellent Reference Materials
The more specific context you can give AI, the better the output matches your style.
This means defining your writing style clearly.
How?
Create detailed guidelines, including:
Reader personas
Target grade level
Headline formulas
Tonality
Examples
Opening hooks
In addition to your guidelines, make it your mission to create the perfect article or chapter to use as a writing sample.
Once you have your guidelines and examples, you’ll be more satisfied with the AI output.
For example, I’ve created a dedicated project in Claude for Backlinko. It has over 20k words of reference materials.
Every time I start a new conversation, Claude has this context readily available.
There’s no need to explain our style requirements over and over.
Tip: If your AI tool doesn’t have a project feature, you can save your resources in a folder on your computer. Then, you can use them in your chats.
Build Progressive Context
Your conversation with AI should evolve as your content develops.
Take this article section as an example. I started a dedicated chat on “Using AI for Writing.” I shared:
The outline
The article draft so far
Team survey responses
My goals for this section
When I write the next section about supporting elements, I’ll start a new chat. But I’ll include this completed section as reference material.
This progressive approach helps AI maintain consistency while adapting to each section’s unique needs.
Shreelekha uses a similar method.
“I create different projects for different aspects of my writing. This helps me maintain focus and ensures AI has exactly the context needed for each task”.
Depending on your LLM, this sectional approach will help manage your daily credits as long chats burn through your usage.
Pro tip: Write the first 10% of your project from scratch. This will set the tone for your piece and give AI a clear direction for better outputs.
Embrace Messy Collaboration with AI
The best AI writing output happens through conversation.
Share your half-formed ideas. Question its suggestions. Challenge it to think deeper.
For instance, when writing this section, I asked AI to expand on my outline. But I didn’t just accept the first response.
Instead of settling for general advice about “prompting for a specific tone,” I asked for concrete examples of how AI’s default writing differs from Backlinko’s style.
This led to identifying specific phrases and patterns.
For instance, here’s how my opening hook evolved through AI collaboration:
You might go sentence for sentence, idea for idea, until you strike gold.
It can be tedious, but it’s better than doing it alone.
Find Perfect Examples (When You Need Them)
LLMs excel at suggesting relevant examples and case studies to strengthen your writing.
Shreelekha uses AI to brainstorm examples when she’s stuck:
“I describe the concept I’m trying to illustrate and the type of example I need. AI often suggests angles I hadn’t considered, which I can then research further.
Here’s my go-to prompt template:
“I’m explaining [concept]. I need an example that shows [specific aspect]. Ideally from [industry/type of company]. The example should demonstrate [desired outcome].”
For instance, while writing about data visualization, I needed examples of companies using charts effectively in their content. I gave AI these parameters, and it suggested looking at HubSpot’s State of Marketing report—which perfectly illustrated my point about making complex data accessible.
But don’t just take AI’s suggestions at face value. Use them as starting points for deeper investigation. When AI suggests an example, I:
Verify the details independently
Look for additional context
Consider alternative examples
Evaluate if it truly serves my argument
Chris Shirlow emphasizes this balanced approach:
“The key is to start with your own ideas and research. Then use AI to expand those concepts and find fresh angles. Never let AI drive the direction of your content.”
6. Use AI to Create Content Assets
Content assets like checklists, calculators, and infographics turn your writing into practical tools for readers.
The right asset can clarify complex concepts, aid learning, or guide important decisions.
Creating these resources once required designers and developers.
AI makes it possible to create without these skills.
Create Visual Assets
Many readers don’t consume every word you write.
They scan. They skim. They look for visual anchors to guide them through your ideas.
A study by MIT found that the human brain can process images in as little as 13 milliseconds. That’s up to 600 times faster than text.
But creating professional graphics used to mean:
Learning design software
Understanding design principles
Spending hours on each visual
Hiring expensive designers
Not anymore.
AI can help you create compelling visuals in seconds.
For example, in our 4 P’s of Marketing article, our senior writer, Yongi Barnard, used a graphic to explain why personalization matters.
The visual tells a compelling story at a glance.
To recreate this, gather your data.
Then, give AI parameters:
Please help me design a graphic showing these three personalization statistics:
80% of consumers are more likely to purchase if brands offer personalized experiences
48.2% of marketers say personalization improves click-through rates the most
66% of customers expect companies to understand their personal needs
Use:
A clean, minimal design
Progress circles to represent percentages
Dark background with light text for contrast
Short, clear descriptions under each statistic
Space for source attribution
Then, you just need to refine the finishing touches (colors, spacing, etc.).
Pro tip: Don’t just think about data visualization. Use AI to create:
Process diagrams
Comparison charts
Timeline graphics
Concept illustrations
Feature breakdowns
Our senior editor, Chris Hanna, puts it well:
“The best writers think like producers now. They ask themselves: how can I make this concept visual? How can I show instead of tell?
AI makes that possible without becoming a design expert”.
Create Smart Checklists
Converting processes into checklists makes your content more actionable.
But creating an effective checklist isn’t as simple as writing bullet points. You need to:
Break down complex processes
Put steps in the optimal order
Include validation checks
Add resource links
Consider different user scenarios
This is where AI can help.
The key is to prompt AI after you’ve written your draft.
This way, the LLM will have full context for your content and can create more detailed, relevant checklists.
For example, our senior editor, Shannon Willoby, made a 12-month checklist to help with her article on starting a blog.
She prompted AI to create the checklist based on her article content. Pretty simple but effective.
Here’s a template to get started:
I’ve written an article about topic. Please create a comprehensive checklist that:
Breaks down each major step
Includes key decision points
Notes important resources needed
Flags common pitfalls to avoid
Suggests ways to validate progress
Build Interactive Tools
Interactive tools like calculators, analyzers, and decision trees turn your knowledge into useful solutions. Readers can use these tools right away.
There are many opportunities, regardless of your industry:
Say you write about productivity. You could create a workload capacity analyzer that helps readers balance their projects.
If you’re a wellness writer, you might develop a habit-stacking planner to help people create healthy routines.
Or, if you’re a gardening expert, you could create a seasonal planting calculator.
For my ecommerce growth strategies article, I used AI to build an interactive profitability calculator.
Instead of explaining formulas, readers can explore different scenarios to understand how variables like cost of goods sold (COGS), shipping, and marketing expenses impact their bottom line.
The best part?
You can bring these AI-designed tools to life using no-code platforms like Calculator Studio. Here’s how:
Identify calculation needs in your content
Ask AI to help structure the logic and formulas
Design the user interface (AI can mock this up)
Build it in your no-code tool of choice
For instance, when building the profitability calculator, I prompted AI with:
I need a calculator that helps ecommerce owners estimate profitability. It should:
Include key metrics like COGS, shipping, and marketing costs
Calculate gross and net margins
Show breakeven analysis
Start simple.
A basic calculator that solves one specific problem well is better than a complex tool that confuses users.
7. Use AI to Edit Your Draft
Editing is the difference between good content and exceptional content.
But getting quality edits can be expensive and slow. You either:
Pay editors by the hour
Lose billable time as a freelancer
Wait through lengthy review cycles
Miss issues when editing your own work
AI changes this dynamic.
You can get quick, unbiased feedback and try different versions before your editor reviews a draft.
Let me show you how to do this effectively.
Get Strategic Input First
It’s tempting to jump right into line editing—fixing grammar and polishing sentences.
But start with the big picture.
Here’s how Chris Hanna uses AI for strategic editing:
“I feed the draft, outline, and brief to Claude. Then I ask: What’s missing? Where could we strengthen the argument? Which sections need more evidence?”
AI can help by:
Comparing your piece against successful examples
Identifying patterns and gaps
Suggesting structural improvements
This approach saves revision time. Why polish paragraphs you might cut or rewrite anyway?
Create Quick Quality Checks
Once you have your structure solid, create systematic quality checks.
You want to verify your content hits key engagement metrics.
At Backlinko, we track three readability metrics:
Single-Sentence Paragraph Percentage: The ratio of paragraphs with just one sentence.
Visual Break Density: Number of visual elements per 1,000 words. Higher density means better scannability.
Grade Level: We target Grade 7 or below for accessibility.
AI can calculate these instantly and suggest specific fixes. Here’s how:
Share your metrics targets with AI
Paste in a section of your content
Ask for both analysis and specific fixes
Beyond metrics, use AI to check for:
Redundant ideas and phrases
Passive voice overuse
Transition effectiveness
Brand voice consistency
Technical accuracy
Test Critical Elements
Some parts of your content matter more than others.
Your headline determines whether people click.
Your introduction decides if they stay.
Your calls-to-action influence if they convert.
These elements deserve extra attention.
Using headlines as an example, I note 3-5 potential titles.
I Google the topic I’m writing about and screenshot the search results.
I upload the screenshot to Claude. Then, I ask how my title ideas compare to the top articles.
Claude will make suggestions based on our title guidance, best practices, and differentiators.
Yongi uses a similar process for introductions:
“I write three different openings and ask AI which one creates the strongest hook. Then we discuss why—looking at elements like curiosity, relevance, and emotional pull”.
You can also test:
Section transitions
Examples
Proof point placement
Technical explanations
Closing arguments
Balance AI and Human Editing
AI accelerates the editing process, but human judgment remains essential.
Here’s how to make this work:
Start with AI for broad analysis and quick fixes
Apply your judgment to AI’s suggestions
Test variations of important elements
Verify technical accuracy independently
Maintain your unique voice and perspective
Chris Shirlow supports this balance:
“AI helps us identify potential issues faster. But we still need human expertise to decide what changes actually serve our readers.”
Start Writing Smarter, Not Harder
Pick one project you need to write this week.
Apply just one of these practices—maybe getting AI’s help with audience research or outlining.
That’s all you need to do to start seeing results.
The more advertisers who bid on a keyword, the higher the cost.
For example, check out how the average CPC varies by industry:
Industry
Average CPC
Legal
$5.00
Insurance
$19.45
Online education
$9.10
Marketing
$4.28
Home services
$6.23
Auto
$1.83
Healthcare
$7.09
Travel
$0.96
Hospitality
$5.30
Retail
$3.63
Real estate
$0.96
Finance
$3.50
Sports
$3.48
Fitness
$2.20
Semrush’s Keyword Overview and Keyword Magic Tool provide a “Competitive Density” score.
Rated on a scale of zero (easiest) to 1.00 (hardest), it tells you how competitive a keyword will be in your PPC campaign.
A high Competitive Density score (.80 and up) means tougher competition in search results.
But don’t ignore these keywords.
High competition often signals strong conversion potential.
Never base decisions on low CPC alone.
The math is simple: If a $5 keyword converts much better than a $1 keyword, it’s worth the cost.
Ad Network Selection
Where you choose to run your ads can impact your costs:
Google Search Network: Your ads appear on Google search results pages and properties like Google Maps and Shopping. Search Network typically delivers higher-intent traffic but at higher costs since users are actively searching for specific terms.
Google Display Network: Your ads show on Google sites like YouTube, Blogger, and Gmail, as well as partner websites. Display Network usually offers lower costs per click but may bring less immediate purchase intent since users aren’t actively searching.
Seasonality
Keyword costs fluctuate throughout the year.
For example, “Christmas gifts” will cost more in December.
“Tax preparation” will spike in March and April. And “Swimwear” peaks during summer months.
It helps to adjust your budget for these seasonal shifts.
Manual bidding: You set the maximum amount you’re willing to pay for each click. This gives you complete control but requires more hands-on management.
Automated bidding: Google’s AI adjusts your bids in real time to help you meet specific goals (like maximizing clicks or conversions). This can be more efficient but may initially result in higher costs while the system learns your patterns.
Pro tip: New to Google Ads? Start with manual bidding to maintain stricter cost control, then experiment with automation as you gather more performance data.
How to Find Keyword Cost
With the right tools, you can learn keyword costs before launching a pay-per-click (PPC) campaign.
So, you can prioritize terms that deliver maximum ROI for minimum spend.
Google Keyword Planner
Why not go right to the source to learn CPC costs?
Google Keyword Planner shows estimated bid ranges that give you an idea of the high and low you’ll pay.
Plus, these estimates come straight from Google’s own data — making them a reliable starting point for budget planning.
Here’s how to use Google Keyword Planner to research keyword prices:
After signing into your account, click “Tools” in the navigation.
Then, select “Keyword Planner” from the dropdown.
You’ll see two options.
If you already have specific keywords in mind, choose “Get search volume and forecasts.”
Starting from scratch? Select “Discover new keywords.”
For this example, let’s go with “Get search volume and forecasts.”
Enter your keywords manually or click “Upload a file.”
Then, click “Get started.”
Review the “Top of page bid (low range)” and “Top of page bid (high range)” columns.
These show the estimated historical CPC ranges for your keywords.
For example, “garden decor” has a low of $0.33 and a high of $1.49.
So, advertisers with a great Quality Score might pay $0.33 per click.
But those with average or below-average Quality Scores could pay up to $1.49.
Keep in mind that these ranges are influenced by:
Your geographic location
Your Search Network settings
Seasonal competition fluctuations
Industry trends
The actual cost you’ll pay can fall anywhere within this range — or occasionally outside it during periods of intense competition.
Now, let’s look at another method to find keyword pricing.
The tool will return a list of keyword suggestions.
View the “CPC” column to learn the estimated cost for each term.
On a limited budget?
Add a filter to find keywords within your price range:
Click the “CPC” filter
Enter your desired range
Click “Apply“
Now, you’ll only see keywords that fit your budget.
Pro tip: The Keyword Magic Tool is best for researching keywords. Already have a list? Use Keyword Overview instead. This allows you to enter up to 100 keywords at once to see the average CPC, search volume, difficulty, and more for each term.
7 Steps to Selecting High-Converting PPC Keywords
Knowing what keywords cost is just the starting point.
The real magic happens when you identify terms that fit your budget and drive sales.
Note: A free Semrush account gives you up to 10 credits in the Advertising Research tool per day. Or you can use this link to access a 14-day trial on a Semrush Pro subscription.
Enter a competitor’s domain into the tool.
Click “Search.”
Now, you’ll see an overview of your competitor’s paid search performance.
Including the total number of keywords and traffic from paid campaigns.
Even better?
You’ll also learn how much it costs them to rank for these terms in Google Ads.
Scroll to the “Paid Search Positions” report for a peek at their top-performing keywords.
Including CPC, search volume, and position data for each one.
Note which keywords have high traffic but reasonable costs.
Then, add the promising keywords to your list.
Next, click the “Competitors” tab to learn who your competitor’s top paid rivals are.
(Hint: They may be your rivals, too.)
Click on any competitor’s URL and follow the same steps as above to assess their highest-performing keywords.
Finally, click the “Ads Copies” tab.
This reveals your competitor’s actual ad copy—giving you an inside look at exactly what messaging is attracting clicks and conversions in your industry.
Study the language, offers, and unique selling points they use.
Then, create your own ads that address the same pain points but with stronger, more compelling copy.
Pro tip: Writer’s block killing your ad copy? Let AI handle the first draft. Tools like AdCreative.ai instantly generate ad copy variations in seconds—all you have to do is edit and refine.
2. Identify Long-Tail Keywords
Long-tail keywords are highly specific phrases that match exactly what your customer is searching for.
Think “women’s long sleeve vintage graphic tshirts” instead of just “shirts.”
The benefits are too good to ignore:
Lower competition (and lower costs)
Higher conversion rates
More qualified traffic
Let’s see this in action.
“Shirts” has the highest Competitive Density score possible (1.00) and a CPC of $2.38.
But “fall shirts for women” has a much lower CPC ($0.49).
And a Competitive Density (.80) that is reduced enough to help you on the SERPs.
But high enough to signal transactional interest.
Sure, this keyword gets significantly fewer searches.
But those searches come from people who know exactly what they want.
And those are the clicks that convert into customers.
Ready to find long-tail keywords?
Here’s how:
Head back to the Keyword Magic Tool and enter a term like “women’s shirts.”
Select the “KD %” filter on the menu. In the “Custom Range” field, enter “0” to “29.”
This will limit your results to keywords with “Very easy” or “Easy” difficulty—prime territory for conversion-friendly, long-tail terms.
Scroll through the results to find long-tail keywords for your ad campaign.
Like “women’s button down tshirt” and “usa women’s soccer shirt.”
3. Confirm Your Keywords Are Relevant to What You Sell
Don’t get so caught up in metrics that you forget the basics.
Every keyword in your campaign should directly connect to your products or services.
For example, if you sell premium handmade leather wallets, targeting “cheap wallets” might bring traffic but not conversions.
Your ideal customers are searching for quality, not bargains.
This is why you’ll want to pay special attention to keyword match types in Google Ads:
Broad match: Triggers your ad for related searches, variations, and synonyms (lowest relevance, highest reach)
Phrase match: Triggers your ad when the search includes your keyword phrase (medium relevance)
Exact match: Triggers your ad only for searches very close to your exact keyword (highest relevance, lowest reach)
Start with exact and phrase match to ensure relevance and prevent wasted spend.
As you gather data on what works for your industry and budget, you can carefully expand to broader terms.
Pro tip: Have a “Below Average” ad relevance score? Group your keywords into tight themes, like “engagement rings” and “wedding bands,” instead of cramming diverse terms into one ad group. This simple reorganization can dramatically improve your Quality Score.
4. Target Purchase Intent Keywords
Every keyword reveals something about what the searcher wants.
Some people are researching. Others are ready to buy.
Purchase intent keywords signal that someone is in buying mode — not just browsing or learning.
As PPC expert Andrew Peluso says:
The best tip I can give for selecting the ideal keywords is to only target keywords with high purchase intent, meaning only advertise against keywords where the user is in a buying mode. If you spend money targeting keywords where the user is just looking for information, then that’s likely not a great use of your budget.
When it comes to paid advertising, focus on:
Commercial intent: Users are comparing options before buying (“best CRM software”)
Transactional intent: Users are ready to make a purchase (“buy Salesforce subscription”)
5. Focus on Cost per Conversion, Not Just Cost per Click
Keywords with low CPCs might seem attractive, but they’re worthless if they don’t convert.
Set up proper tracking to identify which keywords actually deliver customers, not just traffic.
Andrew explains:
To keep keyword costs under control, make sure you have really accurate attribution in place so you know what your cost per conversion is. Without this data being accurate, your cost-per-click number in isolation is almost useless.
You need to have a goal in mind for your cost per conversion. Regardless of what your cost-per-click is, make sure you’re happy with how much the conversion costs you.
What does this mean for your campaigns?
Set up proper conversion tracking in Google Ads
Monitor which keywords drive sales, not just clicks
Be willing to pay more for keywords with higher conversion rates
Pro tip: To boost CTR without sacrificing conversions, test different value propositions in your ads. A “free shipping” message might get more clicks, but “handcrafted quality” might attract buyers who convert.
6. Build a Negative Keyword List to Reduce Ad Waste
Negative keywords prevent your ads from appearing for search terms that might seem relevant but attract the wrong audience.
Here’s how to implement this strategy:
Pull your Google Ads search terms report for the last 90 days
Look for terms that drive costs but few conversions — these are your negative keywords
Build a comprehensive negative keyword list. This way, your ads no longer show for underperforming keywords to prevent ad waste.
7. Test Different Keywords to See What Performs Best
Keyword selection isn’t a set-it-and-forget-it task.
It’s an ongoing experiment that gets better with time.
Follow these best practices for testing keywords in your ad campaigns:
Review performance weekly, looking beyond clicks to focus on conversions
Gradually shift budget from underperformers to high-converting terms
Add new keyword variations based on what’s already working
Look for seasonal patterns that affect performance
As you gather data, your campaigns will become more efficient, driving down costs while improving results.
How to Optimize Your Quality Score and Lower Keyword Costs
Even the best keyword strategy falls flat without a strong Quality Score.
Instead of just bidding higher, focus on these three critical components that Google rewards with lower costs and better positions.
Ad Relevance: Match User Intent
We touched on this above, but it’s worth repeating:
One of the best ways to gauge intent is by analyzing the Google SERP. What Google ranks organically gives strong clues. Are users looking for information, or are they in buying mode? Your ad should reflect that intent.
For example, if someone searches “best running shoes for flat feet,” they’re in research mode.
Your ad should highlight expert reviews or comparison features.
But for “buy nike running shoes,” they’re ready to purchase.
Your ad should emphasize pricing, fast shipping, or size availability.
Expected CTR: Create Compelling Ads
Expected CTR measures how likely users are to click your ad when it appears.
To improve expected CTR:
Include the keyword in your headline
Use action-oriented language (“Get,” “Try,” “Start”)
Your landing page must fulfill what your ad promised.
To create a high-scoring landing page:
Match headline language from your ad to your landing page headline
Place your primary keyword in the H1, first paragraph, and at least one subheading
Keep loading time under three seconds (compress images and minimize redirects)
Add testimonials or reviews to build credibility
Include a single CTA that matches your ad’s offer
For landing page experience, the key is continuity. The landing page should match both the ad and the intent behind the keyword. If users click your ad expecting one thing and land on a page that doesn’t deliver, your score will take a hit.
For instance, if your ad promotes “home garden design ideas,” your landing page should feature garden inspiration prominently—not a general plant catalog or seed shop.
The key takeaway? Everything must work together:
Everything needs to flow seamlessly—keyword intent, ad messaging, and landing page content. When these elements are aligned, your Quality Score improves.
Ready to Find Keywords That Get Clicks and Conversions?
Optimizing your ad keyword strategy can help you pay less for better results.
(And outperform the competition while you’re at it.)
Remember these principles:
Quality is key: Improve your Quality Score to reduce costs
Get specific: Long-tail keywords often deliver better ROI than broad terms
Follow the data: Let performance metrics guide your strategy
Test continuously: What works today might not work tomorrow
Finding high-performing keywords starts with having the right tools.
Check out our comprehensive guide to the best keyword research tools. Including features and pricing comparisons to help you choose.
The internet is full of recycled lists claiming to reveal the “most profitable blog niche ideas.”
But most lack any actual data to back up their recommendations.
That’s why we decided to do something different.
We analyzed 100 blog niches using a comprehensive methodology to identify the top 25 opportunities based on cold, hard numbers.
This included:
Search volume data
Keyword difficulty scores
Average cost per click (CPC)
Search intent
Short- and long-term growth trends
For each winning niche, we created a detailed scorecard that ranks its performance across three critical dimensions:
Growth, monetization, and ranking potential.
These metrics are presented on a five-point scale to help you quickly assess each niche’s strengths and challenges.
Whether you’re launching your first blog or your fifth, these insights will help you make smarter decisions about where to invest your time and energy.
Note: Many categories in our list (like AI or Digital Marketing) represent broader topic areas. While our data shows these have strong overall metrics, their high keyword difficulty scores reflect their competitive nature.
For blogging success, try finding your specific angle within these categories. Our “Three Ps” framework below guides you through identifying your unique positioning based on your expertise and audience needs..
Methodology: How We Rated the Blog Niche Ideas
To identify the most promising blog niches of 2025, we developed a scoring system that evaluated 100 niches across three key performance metrics:
Growth Trend (35% of Total Score)
We analyzed historical growth patterns in the U.S. by combining:
Year-over-year growth (40% weight)
5-year growth trend (30% weight)
10-year growth trajectory (30% weight)
This weighted average was then converted to a 1-5 scale, with five circles indicating exceptional growth potential.
Each niche received a total score based on these weighted metrics, allowing us to identify the top 25 blog niche ideas.
Now that you see how we evaluated these niches, let’s find the right one for YOU with our Three Ps framework.
How to Choose and Validate Your Blog Niche
Want to know the secret to long-term blogging success?
It all comes down to the three Ps: Passion, Potential, and Profitability.
The most successful blogs hit this trifecta.
They’re built around topics you genuinely care about, have substantial audience interest, and offer clear paths to revenue.
Here’s how to find your perfect match.
Step 1: Consider Your Passions
Passion for your blog niche isn’t just a nice-to-have—it’s a competitive advantage.
Why does this first “P” matter so much?
When you genuinely care about your topic, you’ll:
Stick with it when growth is slow (and trust me, every blogger faces plateaus)
Develop deeper insights that casual researchers miss
Create high-quality content that naturally displays E-E-A-T (expertise, experience, authoritativeness, and trustworthiness) signals that Google rewards
Create authentic content that resonates with fellow enthusiasts
Think about what topics you find yourself researching for fun, discussing with friends, or already have experience with.
These are your passion indicators.
Pro tip: You’ll be creating hundreds—if not thousands—of articles on this topic. Make sure it’s something that won’t feel like a chore six months from now.
Step 2: Research the Niche’s Long-Term Potential
Found a topic you love? Great.
Now let’s evaluate the second “P”—Potential—to make sure this niche has staying power.
First, verify there’s an actual audience for your niche.
Here’s how:
Visit online communities where your potential readers hang out:
Facebook Groups: Check member count and weekly post volume
Quora: Analyze question frequency and follower counts
Reddit: Look for subreddits with at least 10,000 members
For example, when I searched “gardening” on Reddit, I found this active subreddit with 7.8 million members.
Pay attention to:
Common questions people ask
Problems they’re trying to solve
Language they use to describe their challenges
Products or solutions they’re already using
Now, let’s look at whether your niche is growing or declining.
For example, “garden design” gets 6.6K searches per month in the United States.
While not as high as some, niching down from the broad category of “gardening” has clear benefits.
This includes much lower difficulty (65% vs. 90%).
Next, look at the “CPC” report.
(The higher the CPC, the more advertisers are willing to pay for clicks, signaling stronger monetization opportunities.)
“Garden design” has a CPC of $1.78, which shows monetization potential.
Pro tip: What’s a “good” CPC? After analyzing CPC data across 100 blog niches, I found the average was $2.09. While this benchmark is useful, don’t chase high CPCs alone—weigh them against competition levels and search volume to find your ideal niche.
With the three Ps as your guide, you can confidently identify a blog niche that’s personally fulfilling and financially rewarding.
Now, let’s explore the top 25 blog niche ideas for 2025.
1. Artificial Intelligence (AI)
In a surprise to no one, “AI” is the #1 blog niche for 2025.
Despite the relatively modest $1.24 CPC, the off-the-charts search volume (1M) makes this an incredibly lucrative opportunity.
But you’ll need to bring your A-game.
This means expert content that demonstrates a deep understanding of the topic.
This is true whether you focus on breaking artificial intelligence news and trends before others do.
Or providing in-depth tutorials and tool reviews to help the everyday person understand and use AI.
Or you could niche down further.
Like the successful AI blog Machine Learning Mastery.
This blog teaches developers “how to get better results, faster” with practical AI tutorials.
Machine Learning Mastery is a great example of how to monetize in this space.
They use display advertising and sell multiple machine learning ebooks and tutorials.
Monetization paths: AI tool affiliate partnerships, display ads, online courses, consulting services, paid newsletters with industry insights
Success requirements: Tech fluency, talent for simplifying complex topics, constant learning mindset, firsthand experience with emerging tools
With 426% growth over the past decade and a substantial 165,000 monthly searches, this space offers clear potential to turn your blog into a reliable revenue stream.
But the competition is no joke.
Even the subniches like SEO and content marketing have 100% keyword difficulty.
To stand out in this highly competitive space, you’ll need to create content competitors can’t easily replicate.
Think case studies, original research, firsthand insights, and expert interviews.
For example, Search Engine Journal (SEJ) has found success in the SEO and search marketing subniches with data-backed content written by industry experts.
While there are many ways to monetize a digital marketing blog, SEJ’s strategy includes syndicated content opportunities and banner ads.
Success requirements: Verifiable security credentials, ability to explain technical concepts clearly, commitment to staying current with evolving threats
4. Meal Prep
Meal prep has seen remarkable growth (457%) over the past decade.
And it has no signs of slowing down.
It’s also slightly more accessible than some top niches, with 75% keyword difficulty.
(Plus, check out that healthy $5.24 CPC).
But what makes this niche particularly attractive is its evergreen appeal.
People will always need convenient, healthy eating solutions that save time and money.
Success here hinges on authenticity.
Thoroughly test your recipes, document each step visually, and provide specific troubleshooting tips from your own kitchen experiences.
Combine high-quality photography with practical, real-world advice that readers can’t find in generic recipe collections.
Note: “Food” is one of the most profitable blog niches, averaging $9,169 per month in revenue, according to a RankIQ study.
For example, Sweet Peas and Saffron, a popular meal prep blog, features step-by-step directions and storage and reheating instructions for each recipe.
They also monetize their blog in a few tasty ways:
Success requirements: Relevant credentials or personal transformation story, ability to cite research accurately, consistent content that builds trust
6. Home Remodeling
Love to DIY home projects?
The home remodeling blog niche offers enticing numbers:
60% keyword difficulty (lower than many of our top niches)
$5.22 CPC
Consistent growth: 41% YoY; 65% 5Y; 39% 10Y
To shine in this niche, demonstrate real expertise, whether you focus on home decor or kitchen redesigns.
Readers want detailed cost breakdowns, material recommendations, and step-by-step instructions that result in successful outcomes.
High-quality before/after photos and video tutorials will separate your blog from competitors.
Young House Love is a prime example of home remodeling niche mastery.
They document real renovation projects with detailed cost breakdowns and process photos that show every step.
They’ve also monetized through multiple book deals.
And have their own lighting line at a major retailer, showing the diverse money-making potential of this niche.
Monetization paths: Tool/material affiliates, online courses/tutorials, digital downloads, sponsored content
Success requirements: Construction/remodeling experience, step-by-step tutorial ability, video production capabilities
Pro tip: Diversify your blog monetization strategy. Multiple income streams not only help you earn more overall, but they also provide crucial protection if one revenue source slows down.
7. Debt Management
Talk about the sleeper hit of blog niches.
Debt management has an eye-popping $15.50 CPC—the highest on our list.
Despite a relatively modest search volume (2,900 monthly searches), this niche presents a golden opportunity for monetization.
Plus, the 63% keyword difficulty makes it more accessible than many top niches.
But here’s the catch:
As a Your Money, Your Life (YMYL) topic, Google holds financial content to much higher standards.
You’ll need to demonstrate legitimate expertise to rank.
Success requires establishing E-E-A-T signals through author credentials (financial certifications help), expert contributions, and comprehensive, accurate advice backed by authoritative sources.
Trust is everything here.
Focus on transparency, avoid get-rich-quick promises, and show readers a clear path to financial improvement.
Personal stories (with receipts) will be a differentiator in this niche.
Note: Finance blogs are popular and profitable. According to RankIQ, bloggers in this niche earn an impressive average of $9,100 per month, making it one of the most lucrative blogging categories.
While there are plenty of smaller blogs in this niche (with low traffic) many of the major players are blogs run by financial institutions.
Like this one:
But with a solid SEO strategy and high-quality content, you’ll have a good shot at breaking through on the SERPs.
Productivity has a surprisingly high CPC of $9.80—the third highest on our list.
Even better?
This blog niche has shown consistent growth across multiple timeframes:
17% YoY
58% over five years
44% over the last decade
Clearly, our collective obsession with doing more in less time isn’t fading.
But at 93% keyword difficulty, you’ll face stiff competition from established productivity giants.
Success here demands more than rehashing the same time management tips everyone’s already heard.
Develop and test original productivity systems, create custom tools your audience can’t find elsewhere, and share firsthand stories of how you maintain productivity.
The Zen Habits blog is a stellar example of this.
Its creator focuses on habit formation from their firsthand experiences.
Like writing a novel, tripling their income, running marathons, and much more.
While the blog’s design is minimal and doesn’t feature display ads, Zen Habits has multiple monetization paths.
This includes books and a paid membership with workshops and video courses.
Success requirements: Personal wellness experience, consistency in practice, ability to balance science with accessibility
16. Career Development
Career development has emerged as a standout niche, with 107% growth over the past five years.
The strong growth and relatively approachable competition (61% keyword difficulty) make it an attractive option, whether you’re a new or seasoned blogger.
Specificity and actionable advice are the keys to success in this niche.
Focus on particular industries, career stages, or workplace challenges where you have firsthand experience.
Document real career transitions, share authentic workplace stories, and create practical resources.
Like resume templates and interview scripts.
For example, The Muse, a well-known career blog, shares advice on everything from skill development to team building.
They also feature company profiles and job listings.
When it comes to monetization, The Muse offers a variety of revenue streams designed to help readers land their dream jobs.
This includes personalized resume reviews and career coaching services.
Monetization paths: Resume services, career coaching, professional course affiliates, job board partnerships
Success requirements: Professional experience, networking abilities, understanding of hiring processes
17. Green Technology
Green technology offers a rare combination: moderate competition (58% keyword difficulty) and solid monetization potential ($5.01 CPC).
But the relatively low search volume (1,900 monthly searches) means success hinges on attracting highly targeted, high-intent website traffic.
To make the most of this niche, focus on content that aligns with user intent.
Readers want the science behind green technology and actionable ways to reduce their carbon footprint in their own homes.
This is why product reviews will be big in this niche.
Stay ahead of emerging trends and policy changes to position your blog as a forward-thinking resource.
For example, CleanTechnica covers energy efficiency, geothermal energy, Tesla products, and more.
They also provide in-depth electric vehicle reviews.
To monetize, CleanTechnica leverages multiple revenue streams, including display ads and an ecommerce store.
So, they can generate income while continuing to champion sustainable tech.
Monetization paths: Eco-friendly product affiliates, sustainable technology reviews, green living courses, consultation services
Success requirements: Environmental knowledge, technical understanding, ability to make complex innovations accessible
Pro tip: Interested in joining an ad network to monetize your blog? Pay special attention to niches with high monthly search volume. You’ll need 50,000 monthly sessions just to qualify for Mediavine, the ad platform used by 40% of bloggers earning $2K+/month (RankIQ).
18. B2C Sales
Business-to-consumer (B2C) sales shows promising growth (+300% over the last 10 years).
But it also has surprisingly low competition at just 32%.
This provides an accessible entry point for bloggers with B2C sales experience.
While the search volume is low (720 monthly searches), the ease of ranking makes this an attractive option.
Share specific sales scripts, customer journey maps, and proven conversion optimization techniques backed by real-world experience.
Consider specializing in particular sales channels (ecommerce, retail, subscription services) or customer segments where you have hands-on experience.
With such minimal competition, you have a genuine opportunity to establish authority relatively quickly compared to more crowded niches.
Now, let’s look at a successful blog in this niche.
Sales Gravy helps sales professionals sharpen their skills, close more deals, and navigate sales slumps with confidence.
To monetize, Sales Gravy offers virtual sales workshops and online courses.
This lets them turn their expertise into valuable training resources for their audience.
Success requirements: Technical knowledge, testing methodology, clear communication of complex features
20. Health
The health niche pulls in a whopping 368,000 monthly searches.
Not to mention that juicy $4.67 CPC.
But don’t start drafting “10 tips for better health” articles just yet.
As a YMYL topic, health content faces Google’s toughest quality filters.
Without medical credentials or expert partnerships, you’ll struggle to gain traction.
Your best bet?
Niche down to specific health conditions where you have firsthand experience or certified knowledge.
And back everything with scientific research and insights from medical professionals.
This is what Healthline, a popular blog in the health niche, does.
Their articles are written by health writers and reviewed by medical professionals, which helps establish trust and credibility.
To monetize, Healthline uses multiple revenue streams that align with its audience’s interests.
This includes advertising, sponsored content, and affiliate links.
Monetization paths: Health product affiliates, wellness programs, supplement partnerships, telehealth referrals, digital downloads/plans
Success requirements: Medical/health credentials, research skills, ability to translate complex information responsibly
21. Books
What this evergreen category lacks in CPC ($0.68), it makes up for in passionate audience engagement.
(Check out that 368,000 monthly search volume).
But you’ll need a distinctive angle that sets you apart from established literary blogs to break into this competitive space.
Consider niching down to underrepresented genres, specialized reading guides for particular audiences, or unique book curation approaches.
Authentic book reviews and recommendations are crucial here. Insightful commentary and humor also work well.
For example, Book Riot stands out in this niche with diverse book coverage, literary-themed product reviews, and multiple themed newsletters.
They’ve also taken a creative approach to monetization with their own book subscription box.
Curated by Book Riot editors, each box delivers hand-selected books tailored to the customer’s preferences.
Monetization paths: Book affiliate programs, product recommendations, subscription book clubs, author partnerships, premium reading guides
Success requirements: Genre expertise, analytical reading skills, consistent content production
22. Cryptocurrency
Thinking about riding the crypto wave?
This niche has skyrocketed with a mind-blowing 700% growth over the past decade.
With 135,000 monthly searches, there’s no shortage of people hungry for crypto content.
Here’s the catch
You’re facing 100% keyword difficulty.
Google won’t let just anyone rank here—this is serious YMYL territory.
Focus on educational content that helps readers understand blockchain fundamentals or risk management strategies.
Share your personal experiences (both wins and losses) to build authenticity.
Success requires genuine expertise through technical accuracy, responsible advice, and transparent disclosure of your own involvement with digital assets.
The CoinDesk blog is a powerhouse in crypto news.
Backed by financial journalists and technical experts, they cover the latest trends, regulations, and market moves.
CoinDesk monetizes its blog with a solid mix of methods: