SEO reporting transforms raw data into actionable decisions. It shows clients and teams exactly what’s working — and what isn’t.
But here’s the painful truth:
You can waste hours each month collecting data from various platforms. Like copying numbers from Google Analytics, Search Console, and rank trackers into spreadsheets.
Then struggling to make it look presentable.
Oh, and this is for one website. If you’re managing many projects, reporting can get VERY tedious (and costly).
That’s why I’ve handpicked a list of four dedicated SEO reporting tools that:
Save time by automatically collating data from your favorite SEO and analytics platforms
Help you build client-ready reports without starting from scratch every time
Let you track and visualize SEO performance in a way that actually makes sense for you
Here’s a quick rundown of our favorite SEO reporting tools:
Facebook, Instagram, LinkedIn, and TikTok Ads: Combine all your social media ad metrics with SEO results in one report
Note: You can connect Semrush to Looker Studio for free. Many other third-party connectors need a separate paid subscription.
Report Fast with Templates or Build Custom SEO Dashboards
Looker Studio gives you the flexibility to choose how you want to set up your SEO reports. Whether that’s in a streamlined or more hands-on way.
Here’s how:
If you want a quick start, you can use pre-built templates from the gallery.
For example, you could choose a Google Search Console performance template.
It visualizes impressions, clicks, CTR, and average position:
With this template, you simply need to connect your Search Console account, and you’re good to go.
But if you need something more tailored, you can easily build custom dashboards from scratch in three simple steps:
Choose exactly which metrics to show
Pull in multiple data sources (Google Analytics, Semrush, Shopify, etc.)
Design the layout to fit your team’s or client’s needs
Tip: If you’re showing these reports to clients, you can also fully customize your SEO dashboards to reflect your (or their) brand. Do this by adding logos, brand colors, and any visual elements specific to your projects.
Pros & Cons
Pros
Cons
Visualizes data with interactive charts, scorecards, and tables
It’s primarily a visualization tool that relies entirely on other data sources for its reports
Refreshes data in real-time — you can set up the report and forget about it
Option to embed interactive reports on your website
2. Semrush
Best for SEO professionals who want an all-in-one solution to track, analyze, and report SEO performance in one place
Pricing: Starts at $139.95 per month; Backlinko-exclusive 14-day free trial available
Semrush’s My Reports lets you build customizable SEO reports. It’s designed to help you merge data from across Semrush’s various tools and present it in an easy-to-understand format.
Here’s what I love about My Reports:
Combine Multiple Semrush Tools in One Report
Semrush’s My Reports tool lets you pull data from across the platform’s entire SEO toolkit and present it in a single, cohesive report.
You can include insights from tools like:
Position Tracking to highlight keyword performance
This feature is perfect if you want to avoid bouncing between separate dashboards. Or manually merging data sources.
With everything in one place, it’s also easier to spot patterns and draw connections. Like how ranking improvements might correlate with new backlinks. Or how technical issues could be holding your keyword performance back.
Create SEO Reports from 20+ Marketing Data Sources
You can go beyond just Semrush data by connecting 20+ other marketing data sources to further enhance your reports.
For example, you can pull keyword rankings and backlink data from Semrush. Then combine it with Google Search Console data to highlight clicks and impressions.
All in one report:
This makes it easier to present a holistic view of your SEO performance. And show not only where you rank but also how those rankings translate into actual search traffic.
Save Time with Ready-Made Templates
If you’re short on time and don’t want to build your SEO reports from scratch, Semrush has you covered with ready-made templates:
These templates help you quickly generate reports for common SEO tasks.
For example, you can select:
Monthly SEO Reports: Use these to update clients about your SEO performance
Site Audit: This gives you a quick overview of your domain’s technical health
Backlink Audit: This lets you analyze your website’s backlink profile and spot new link opportunities
You can use your selected template as is:
Or you can customize it further with the drag-and-drop tools.
Quickly Build SEO Reports with Drag-and-Drop Widgets
Semrush’s drag-and-drop interface makes it easy to build your own custom reports or build on templates.
Just drag the data widgets you need from the left panel and drop them wherever you need them.
Let AI Summarize Your Report
One of the standout features of My Reports is the built-in AI Summary tool.
Once you’ve built your SEO report, you can click “Add AI Summary,” and Semrush will automatically generate a clear, concise overview of the key takeaways:
You can also choose whether you want the AI to generate a brief or detailed summary, depending on your audience:
Easily schedule recurring reports and receive them via email
You can’t edit the AI-generated summary
White label reports with your logo and branding
Share reports as a PDF or via dashboard link
3. AgencyAnalytics
Best for freelancers and SEO agencies to share real-time reporting dashboards with clients
Pricing: Starts at $79 per month; 14-day free trial available
AgencyAnalytics is a reporting platform built specifically for agencies managing SEO and digital marketing clients.
It lets you create customizable SEO reports by pulling data from 80+ tools, including:
Google Search Console
Google Analytics
Semrush
Moz
Bing Webmaster Tools
Here’s what I like most about Agency Analytics:
Choose From Four Report Starting Points
AgencyAnalytics gives you four ways to start building a report:
Blank report: Start fresh and create a fully customized SEO report
Smart report: Auto-generate a report with your connected integrations (like Semrush, Shopify, Google Search Console, and Salesforce)
Template: Use a pre-made reporting template
Clone existing report: Copy any report you’ve already created
If you manage multiple clients or create recurring SEO reports, cloning an existing report is a HUGE time-saver.
You can duplicate the layout, data sources, and widgets from any previous report. This way, you don’t have to start from scratch every time.
And if speed is your priority, the Smart Report option gives you a great baseline. It pulls in data from your connected tools automatically.
But if you’re building something new or one-off, starting with a blank report or a premade template still gives you all the flexibility you need.
Track Your Client’s SEO Goals
AgencyAnalytics lets you set and track specific SEO goals for each client. You can then keep track of the progress in your reports.
Whether it’s hitting a target number of organic sessions, ranking for priority keywords, or increasing revenue, you can define it as a goal.
Simply choose the metric you want to track and set your conditions.
Let’s say your goal is exceeding 100k sessions per month:
You just drag and drop that goal into your report to track it alongside your SEO performance:
And just like that, you can track your goal right next to your current performance.
Have Full Control of How Your Reports Look
AgencyAnalytics also lets you adjust the size and placement of each widget to fit your reporting style.
You can resize and rearrange your charts, tables, and graphs to fit your preferred style and showcase what’s most important to your audience.
This level of granularity lets you fully customize your SEO reports to make them visually appealing and easy to understand.
Give Clients Real-Time Access to SEO Dashboards
AgencyAnalytics also lets you create custom logins for your clients. This gives them real-time access to their SEO dashboards any time they need.
You can also adjust permissions for each user individually to control exactly what each client sees:
This gives clients a transparent view of their performance. And it cuts down on back-and-forth reporting requests.
Pros & Cons
Pros
Cons
Set and track specific SEO goals for clients
A bit of a learning curve
Schedule reports and track delivery history
Give clients real-time dashboard access with custom permissions
4. DashThis
Best for creating customizable SEO dashboards and helping clients understand what the data means
Pricing: Starts at $49 per month; 15-day free trial available
DashThis lets you create SEO reports fast, or fully customize them when you need more control.
In other words: it’s suitable for those that want a streamlined solution OR a highly tunable one.
You can also pull data from 30+ tools. These include the usuals like Google Analytics, Search Console, and Semrush. But also the likes of Google Ads, CallRail, and YouTube.
Here’s what I love about DashThis:
Build an SEO Report Your Way
DashThis gives you multiple widget types to build exactly the kind of SEO report you want.
Whether you’d like to craft a report quickly or need full control, DashThis gives you this flexibility:
For example:
You can drop in preset widgets that auto-populate common SEO key performance indicators (KPIs):
But if you need something specific, you can use custom widgets to pick your graph type, tweak the settings, and fully control how your data looks:
You can also use static widgets to add context or structure to your report.
For example, you can:
Add a custom header
Write comments
Upload a CSV to add more data to your report
Manually enter numbers
You can also use widget bundles to quickly add a group of related widgets at once.
For example, you can add a bundle of five related widgets that give you an overview of your image or organic search performance:
This makes it easy to quickly set up important reports.
Leave Notes in Your SEO Dashboards
DashThis lets you add notes right inside your dashboards. This way, you can explain what’s happening without sending a separate email to your client:
You can use notes to:
Call out key wins
Clarify sudden traffic drops
Guide your client through the data
Comments live right next to your charts. So clients can see your notes in context as they review their performance:
Add Formatted Insights
At the end of your report, you can drop in a rich text comment block.
Here, you can write your own notes, style the text, add images, and even structure sections with bullet points:
It’s perfect for:
Summarizing key takeaways
Highlighting recommendations
Making your report easier for clients to act on
Group Dashboards to Stay Organized
If you manage lots of SEO dashboards, you can organize them into groups. These work like folders for easier navigation.
For example, you could create a group for each client (e.g., “Client A — Monthly Reports”).
Or you could create them for different report types. Like “Local SEO” and “Ecommerce SEO.”
Pros & Cons
Pros
Cons
In-line notes and comment blocks to add insights and context for clients
Somewhat outdated overall design
White-label your reports
Plenty of flexibility
Ready to Choose Your SEO Reporting Tool?
The best SEO reporting tool for you really comes down to how much flexibility you need, and how quickly you want to get things done.
If you’re comfortable with a bit of setup, Looker Studio gives you endless customization.
But if you prioritize speed and being able to work with just one tool for many key SEO tasks, Semrush’s My Reports is the better option.
We aim for every article we publish to meet — or exceed — Google’s helpful content standards.
And you can, too.
After reading this article, you’ll have 10 Google-approved strategies for creating people-first content.
You’ll also see examples from real sites that excel at creating helpful content.
Plus, you’ll get a free checklist to ensure your pages meet Google’s quality standards.
Let’s start by understanding what “helpful content” is in Google’s eyes.
What Is Helpful Content?
Helpful content delivers what a searcher needs, whether they’re seeking information, researching options, or ready to buy.
It’s content written for people — not search engines.
But what was the Google Helpful Content Update (HCU)?
First launched in 2022, Google’s helpful content update was designed to reward people-first content while filtering out pages created primarily for search engines.
According to Google, helpful content does the following:
Provides trustworthy information backed by genuine expertise
Delivers substantial value compared to competing results
Demonstrates firsthand experience with the topic
Creates a satisfying user experience
Serves a purpose beyond just ranking in search
Google uses a site-wide classifier. It checks your whole domain, not just single pages, for helpfulness.
This means a significant amount of low-quality content can drag down even your best pages.
The biggest changes to this algorithm update took place in late 2023 and early 2024. Some sites lost A LOT of organic traffic.
Google confirms it reduced low-quality content in search results by a staggering 45%.
The sites hit hardest by these updates were:
Content-only websites with no actual products or services
Sites creating articles purely for search traffic
Affiliate sites with thin content and/or a high monetization-to-informational content ratio
The HCU aftermath sparked lots of debate about whether or not these updates were truly “helpful.”
And if the declines and deindexings were warranted.
And as the makers (and breakers) of rankings, following their guidelines is essential.
As of March 2024, the helpful content update is no longer a thing.
But helpfulness isn’t going away. The HCU is now integrated into Google’s core ranking systems.
Bottom line?
Creating helpful content is vital for your survival in search.
10 Ways to Create Helpful Content That Google Rewards
There’s no sugarcoating it:
Creating exceptional content is hard work.
But it can pay off through high rankings and targeted traffic.
Download our Helpful Content Checklist to follow along as you read. Use it before hitting publish to ensure your content meets Google’s quality standards.
1. Incorporate Firsthand Experiences
Want to instantly make your content more helpful?
Add personal stories and examples (real ones — not AI-generated).
Why?
Because it shows you actually know what you’re talking about — which is exactly what Google’s E-E-A-T guidelines (experience, expertise, authoritativeness, trustworthiness) prioritize.
Google advises against generic, regurgitated advice on its website:
By including personal experiences in your content — including your successes and failures — you’ll create the kind of content search engines reward.
And your target audience wants to read.
Take this backlink guide from Backlinko founder Brian Dean, for example:
Brian didn’t just give generic advice like “create great content” or “reach out to bloggers.”
He shared specific tactics and advice that actually worked for him, including:
Real email templates he’s used for outreach
Screenshots showing actual results
Step-by-step instructions
Tool recommendations
Specific case studies with traffic metrics
The result?
Content that feels like you’re learning from someone who’s been there, done that — not canned advice you can find on any site.
No wonder this guide has maintained high rankings for years.
And generated 31.5K backlinks.
Pro tip: When sharing personal experiences, focus on specific outcomes and measurable results. Google’s E-E-A-T guidelines value demonstrable expertise. So, don’t just say, “This worked for me,” explain exactly how and in what timeframe. Include photos and screenshots when possible to back up claims.
2. Add Expert Insights and Quotes
Expert quotes add authority and new perspectives to your content.
They also help you meet Google’s helpful content expectations by providing insights readers can’t find elsewhere.
Even if you have personal experience with a topic, expert opinions add dimension and alternative perspectives that make your content more comprehensive and helpful.
Expert quotes strengthen your content in multiple ways:
Add credibility to your claims
Provide unique insights
Create content that’s difficult for competitors to replicate
For a great example of this in action, look at pet company Chewy.
Their content often contains insights from board-certified veterinarians and animal behaviorists.
This makes it more authoritative and trustworthy.
Source expert insights through:
Original interviews (via email, phone, or video)
Reaching out to experts on LinkedIn, X, or industry-specific sites and forums
Attending industry events and networking for insights
As Nate Matherson, head of growth at Numeral, says:
When writing blog posts, I often source expert insights from leaders in the SEO industry for my weekly SEO podcast, Optimize. For example, after interviewing Ethan Smith, the CEO of Graphite, on my podcast, I repurposed one of his quotes about topical authority to use in a blog post on the same topic.
3. Create Content That Meets Search Intent
Understanding and satisfying search intent is fundamental to helpful content.
For example, if someone searches “how to fix a leaky faucet,” they want clear, step-by-step instructions — not a sales page for plumbing services.
Content that addresses their actual goal (fixing the faucet themselves) will be considered more helpful.
But first, you need to understand the four main types of search intent:
Informational: Seeking knowledge — “how to fix a leaky faucet”
Navigational: Looking for a specific website — “Home Depot plumbing”
Commercial: Researching options — “best tankless water heaters”
Transactional: Ready to buy — “buy Moen touchless kitchen faucet”
Not sure if you’re creating people-first content that meets search intent?
After reading your content, will someone leave feeling they’ve learned enough about a topic to help achieve their goal? Will someone reading your content leave feeling like they’ve had a satisfying experience?
If the answer to either question is “no,” your content isn’t fully addressing search intent.
To better meet search intent:
Analyze the current top-ranking pages for your target keywords
Note what format dominates (guides, lists, videos, etc.)
Demonstrate topical authority by addressing all relevant subtopics and common pain points in your content
Start your keyword research
Explore the largest keyword database.
4. Use Reputable Sources
Using high-quality sources (and citing them) is important for all sites.
It signals to readers and search engines that the information you’re sharing is reputable, accurate, and verifiable.
Well+Good, a wellness site, demonstrates this in its article about medication safety:
They support every health claim with information from:
Board-certified psychiatrists
Professors of psychiatry and behavioral sciences
Peer-reviewed medical journals
Reputable health resources, like .gov sites.
When evaluating sources for your content, follow these best practices:
Prioritize recognized authorities in the field (major universities, established publications, industry leaders)
Check publication dates to ensure information is current
Check that you’re referencing the original source of the information
Look for potential conflicts of interest or bias in the source’s funding or affiliations
Google’s E-E-A-T guidelines place heavy emphasis on trustworthiness.
And nothing builds trust faster than showing readers you’ve based your information on solid, reputable sources.
5. Hire Writers with Topical Experience
When it comes to helpful content, experience matters.
So, prioritize writers with backgrounds in your niche over generalists.
This will benefit your content in multiple ways:
More practical, nuanced advice that only comes from hands-on experience
Insider tips that readers can’t find on other sites
Real examples and case studies that build immediate trust
For example, Harvard Health Publishing features physicians as their content creators.
These writers have impressive qualifications.
Including clinical experience, research credentials, and specialized knowledge in their medical fields.
This level of expertise is particularly important for Your Money, Your Life (YMYL) topics, where accuracy directly impacts reader well-being.
But experienced writers are valuable across all blog niches, from beauty to travel.
For instance, Family Vacationist, a travel blog, features contributors who have personally visited the destinations they cover.
This is evident by the insider tips they give.
Including advice on the best rides for kids, the tastiest treats in theme parks, and which hotels to stay at and why.
Family Vacationist also highlights its writers’ experience in bios.
Including relevant publications where they’ve been featured.
Even if you already have experienced writers, an expert review process will add another layer of credibility to your content.
Have subject matter experts fact-check your information
Include reviewer credentials directly in your content
Highlight your review process on your editorial standards page
For example, home services company Angi has experts review its content and features them prominently with a byline.
The expert reviewer also gets a bio to highlight their qualifications.
Investing in topic experts signals to readers and search engines that you’re committed to delivering accurate content and genuine value, not just ranking for keywords.
Pro tip: Create a database of expert reviewers categorized by specialty, experience level, and publication history. When new content needs arise, you’ll know exactly who to contact for a review.
6. Provide an Optimal Page Experience
Page experience is a critical component of helpful content.
If your page loads slowly or is hard to navigate, readers will leave. It doesn’t matter how good your information is.
But as Google states on its website (in slightly different words), doing the bare minimum won’t cut it.
For the best results, cover all aspects of the page experience rather than focusing on isolated elements.
Here’s how:
Analyze Your Current Performance
Use PageSpeed Insights and Google Search Console’s Core Web Vitals report to establish your baseline metrics.
If your assessment fails, follow the tool’s recommendations to improve these metrics.
Like reducing unused JavaScript and third-party code.
Pro tip: Use a tool like Semrush’s Site Audit to get weekly updates about your site’s technical performance. You’ll get automatic updates about issues affecting page experience, including loading speed, crawlability, broken links, large files, and more.
Optimize Images
Compress images without sacrificing quality using tools like TinyPNG, ImageOptim, or built-in CMS optimizers.
This will keep your images from dragging down your page speed.
Test Across All Device Types
Ensure your site has a responsive design that works across desktops, tablets, and various mobile screen sizes.
Use Chrome DevTools or BrowserStack to test how your site performs on popular devices and browsers.
Pay special attention to touch targets on mobile.
Check that buttons and links are easily tappable without accidental clicks.
Improve Security
Use HTTPS across your entire site to build user trust and meet Google’s requirements for secure browsing.
Google Search Console’s HTTPS report will tell you if your pages are secure. (And what to fix if they’re not.)
You’ll also want to configure proper SSL certificates and ensure all resources load securely.
Optimize Above-the-Fold Content
Prioritize loading essential above-the-fold content (aka content that appears on a webpage before scrolling) to capture web visitors’ attention.
And draw them to your most important content or assets.
Minimize unnecessary elements that push key content below the fold, especially on mobile devices.
Balance Monetization with User Experience
If you use display ads, ensure they don’t trigger layout shifts, overwhelm content, or create friction points for readers.
Reserve space for ads in your layout to prevent content jumps when they load.
7. Seek Information Gain (aka Bring Something New to the SERPs)
Google hasn’t said that “information gain” is a ranking factor, but it aligns with their emphasis on adding value to search results.
Information gain means adding something new to the topic. Something readers can’t find anywhere else.
I’ve mentioned some information gain methods already, like firsthand experiences and expert quotes.
But there are other ways to achieve information gain, including the following:
Original research: Survey your audience or industry and publish the findings
Proprietary frameworks: Develop your own scoring system or methodology
Product testing: Go beyond specs to share real-world performance
For example, the finance site NerdWallet goes to great lengths to thoroughly review different financial products.
Like credit cards, savings accounts, and personal loans.
As part of that effort, they created a NerdWallet star rating methodology.
But they don’t use a one-size-fits-all rating system.
They created separate methodologies for each financial product category.
Why?
Because different factors matter for different financial decisions.
They also published detailed explanations of how they weigh different factors in their rating system.
This helps give their star rating system more credibility.
You’ll see these ratings on various NerdWallet reviews to help readers choose the best products for their needs.
Like this one for a credit card:
The key takeaway here?
Information gain often requires a significant upfront investment.
Whether in time, money, or both.
But it leads to something valuable: content that competitors can’t replicate overnight.
8. Refresh Existing Content
Creating new content isn’t always the best strategy.
Sometimes, updating what you already have delivers better results with less effort.
Fresh, comprehensive content shows Google you’re committed to quality and accuracy.
It can also help boost your rankings.
In my experience, updating existing content often delivers faster traffic gains than creating new pieces. A blog post I wrote for Positional about title tags basically sat in the same SERP position for nine months. After revamping the post with additional information, it shot up in rankings almost immediately — and the ranking and traffic gains have held.
When refreshing content, prioritize these improvements:
Update statistics and examples with current data
Enhance visuals and formatting for a better user experience
Incorporate new expert insights or research
Fix outdated advice or recommendations
Target evolving search intent
Warning: Updating old content with a new date to appear “fresh” without substantial changes won’t fool Google. Focus on genuine updates that add new value, insights, or relevant information to improve the reader’s experience.
9. Create Helpful Graphics and Videos
Helpful content doesn’t just mean the words on the page.
Graphics and videos can also be valuable additions that improve reader comprehension and engagement.
When creating visuals for your content:
Focus on clarifying complex ideas, not just adding decoration
Create custom graphics rather than using generic stock images
Ensure videos add unique value beyond what’s in the written content
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.