You found a digital marketing agency that feels like the one.
The pitch was perfect. They “get” your goals. Their case studies are impressive.
But a few weeks later, reality starts to set in: slow responses, recycled strategies, and reports that don’t show any tangible results.
This scenario is painfully common, but it’s not inevitable.
Choosing an agency that performs as well as they sell is possible — if you know what to look for.
In this guide, I’ll cover:
Red flags that signal an agency might overpromise and underdeliver
Green flags that separate the great partners from the mediocre ones
Must-ask questions to help you spot these flags before you sign the contract
You’ll also get real-world advice from experienced marketing leaders who’ve seen both dream partnerships and nightmare contracts.
By the end, you’ll know exactly how to choose a digital marketing agency in 2026. One that drives results instead of draining your budget.
First up: Vital questions to ask before jumping into a partnership.
Before You Hire a Digital Marketing Agency, Ask These Questions
Finding the right agency starts with understanding what you need and why.
Do You Have Product-Market Fit and a Clear Target Audience?
Even the best agency can’t sell a product that doesn’t solve a real problem for a defined audience.
If product-market fit isn’t there, your results will stall.
Ask yourself:
What pain points do we solve?
Who’s willing to pay for this?
Who else is competing for this audience?
Use a market analysis tool like Semrush’s Market Overview to confirm there’s real, sustainable demand.
For example, a quick search for Purina pet food shows strong growth and evenly distributed traffic — a clear sign of opportunity.
That’s the kind of demand signal you want before investing in outside help.
Do You Have a Clear Goal for Your Marketing Strategy?
A marketing agency can help you refine your goals.
But you’ll get better results when you already know what success looks like.
Vague goals like “increase website traffic” sound good, but they’re too broad to measure. Instead, set SMART goals — specific, measurable, achievable, relevant, and time-bound.
Here’s what a SMART goal looks like in action:
“Generate 120 qualified demo requests per month within four months by improving landing page copy and optimizing Google Ads.”
Clear goals like this help you find the right agency. And give them a focus to rally around and drive results.
Do You Have the Bandwidth to Manage an Agency?
Working with an agency isn’t a set-it-and-forget-it kind of task.
Regular, consistent communication with your agency is part of this process.
Sure, the level of autonomy will depend on the agency and the work.
But generally, the best agencies keep the door to conversation open.
Here’s what you can expect:
Provide materials and align on strategy and deliverables up front
Join weekly or biweekly check-ins (typically about an hour)
Review work and share feedback monthly
Pro tip: Assign one internal “agency owner.” Their job will be to keep decisions moving, share context fast, and unblock workflows.
Do You Know What Marketing Services You Need?
“Full-service marketing” sounds great. Until you realize you’re paying for tactics that get you nowhere.
There are many types of digital marketing agencies:
SEO and content: Drive organic growth through optimized content
Branding and design: Shape your visual identity and messaging
Video: Create video content that converts
Consultant: Help define priorities before execution
But before you pick one, identify what’s already working (and what’s not).
The more specific you are about your needs, the easier it is to find a partner whose strengths align with your goals.
Start by looking at your top-performing channels, campaigns, and content in analytics tools.
If content and partnerships drive results for you, that’s a hint about where to invest.
Next, check what’s working for your competitors.
For example, Semrush’s Organic Social tool reveals how your competitors generate traffic from social media.
And tells you exactly which platforms send the most traffic to their websites.
If others in your space are thriving on social while you’re not, that’s a clue to where you could expand.
Pro Tip: Before looking for an agency, ask yourself: Do I need strategy, execution, or both?
Is Your Internal Team Aligned on What You Need?
Clear goals mean nothing if your team isn’t aligned.
Without internal buy-in, even the best agency partnership can derail fast.
Marketing leader Eric Doty learned this the hard way.
After hiring an agency for a logo redesign (and spending weeks on revisions), leadership revealed they wanted to keep the full company name.
“In the end, we wasted around $15,000 on these iterations when all the company really wanted was to change the font.”
Avoid this by:
Defining who owns the agency relationship
Deciding who signs off on deliverables
Getting stakeholder input before work gets started
Once you’re aligned internally, you’re ready to align externally with your agency.
6 Red Flags That a Marketing Agency Will Waste Your Time (and Budget)
The sales call sounds great.
But how do you know whether the relationship will work long-term?
Don’t go in blind. Here are six warning signs and how to spot them.
1. They’re Not Willing to Invest Time in You
This isn’t something an agency will just come out and say directly. But there may be indications that they’ve currently got too much on their plate.
(And you’re about to be thrown onto the back burner.)
For one, look for a high amount of employee turnover. Employees leave when stress is high.
Check LinkedIn to learn about their employees and watch for downward growth trends.
You’ll also want to pay close attention to the discovery call.
If it’s all about them and nothing about you, that’s a sign they’re not taking the time to understand your business.
An agency that “yeses” you to death without adding ideas or offering pushback is another red flag.
They’re likely more focused on producing work as fast as possible than on providing a sustainable strategy.
Pro tip: Ask for a sample strategic recommendation on the call. Something lightweight like: “How would you improve our blog content?” The right agency will share high-level insights — not just a sales script.
And it’s never a good sign if they get defensive when you ask questions.
This can be an indicator that they’re not willing to invest time in the relationship.
I once hired an agency to help run paid social ads, and they did the absolute bare minimum. I had to point this out to get any attention, and by then, our three-month trial engagement was practically over, and we saw no results. While I don’t know for a fact it’s because we were on the lower end of their engagement value, it seems likely.
Looking at recent testimonials or mentions of the agency can help.
But sometimes, asking pointed questions is the best way to get an answer.
For example:
What’s your typical engagement type?
How long are your typical engagements?
How many clients does your team normally work with at once?
By asking these questions, you’ll get a better sense of the agency’s bandwidth.
2. Their Offerings Haven’t Evolved (or Have Evolved Too Much)
It’s no secret that marketing has evolved over the past few years.
And AI has only accelerated those changes.
So, if an agency hasn’t evolved its strategy to match the industry, it’s a sign they’re coasting on an outdated approach.
Want to find this out before the discovery call?
First, check the age of their case studies. Older case studies indicate a strategy that hasn’t changed.
Next, look at the wording on their services page.
If it sounds generic or dated, that’s a red flag.
In the example below, wording like “Taking over Google” is no longer fully relevant.
Plus, there’s no mention of local search or AI results.
(Which is odd, since they target local businesses.)
Pro tip: Trend chasing is another huge red flag. If you see a digital marketing agency that’s majorly pivoted without the data or case studies to back up those decisions, then you may want to steer clear.
Make sure they’re thinking ahead — not clinging to old playbooks — by asking:
How have your offerings changed in the past year?
How has your process changed since AI came on the scene?
How much does your team use AI when creating deliverables?
What’s your perspective on marketing in the AI era?
But you don’t want to get stuck in a relationship that’s not working.
Shorter contracts may not have an out clause. But if you’re getting ready to sign a contract for a year or more, and there’s no way out of that relationship, that could be a red flag.
For longer contracts, a 30-day out clause is typical. That means you both can leave the contract if things aren’t working out.
If you ask for this clause and the agency is pushing back hard, that’s a warning sign.
Amanda agrees:
No failsafe means the agency knows retention is a problem. And they may be more focused on cash flow than results.
Again, communicating clearly is important here.
When in doubt, ask the digital marketing agency these questions:
How have you handled failed campaigns in the past? Did you course-correct mid-campaign, or offer free revisions?
What barriers to success do you see with our engagement?
What’s your policy for a 30-day out in the contract?
4. Communication Isn’t Clear or Easy
The way your agency communicates during the discovery phase is a key indicator of how they’ll communicate once that contract is signed.
Here are some key warning signs you could see early in the process:
You have to chase them for updates or next steps: If getting in contact with the agency is hard before you sign the contract, don’t expect it to improve later on.
You can’t get clear answers to your questions: Asking about timeline, resources, and processes is normal. If they can’t give you straight answers to basic questions, beware.
You have no idea who you’ll be working with: It’s typical to talk to a salesperson or account manager in the early stages. But if you get pushback when asking to speak to the people you’ll be working with, that’s a red flag.
Chelsea Castle, head of brand and content at Close, experienced this firsthand.
Here’s her agency horror story:
One of my biggest career mistakes was not speaking up sooner and louder about yellow flags with an agency. From the initial meeting, something felt off in our communication. There were bumps and issues throughout the entire nine-month engagement. We didn’t love the output, and they weren’t doing things we suspected they should be doing.
Collaboration and communication were messy. We ended up firing this agency and losing the five figures spent on them, which left us with no completed work. Talk about a challenging conversation with your CEO!
To know more about communication before signing the contract, ask questions like:
Who’s my main point of contact with your agency?
Who’s going to be working on the project with me?
Who will be included in the check-in meetings?
At what points in the process do you track metrics to assess if we’re on the right track?
5. They Promise More Than They Can Reasonably Deliver
Overselling can lead to disaster down the road. But, how do you know if an agency is selling something they can’t deliver?
First, look at the language they use to describe their services or results.
If they make exaggerated claims or promises, it’s worth pausing.
For example, this agency’s website has red flags written all over it:
(I wish this were a made-up website, but it’s not.)
Claims like this sound great, but it’s important to take a step back and look at the facts.
Can they actually back up their claims with real examples?
Can they reasonably guarantee results without knowing anything about the potential client?
Danni Roseman, a brand manager at a SaaS company, hired an agency that promised the world but didn’t live up to expectations.
I assumed a team would handle our project. We later found out that only one person had the expertise we needed. It wasn’t enough. Deadlines slipped, quality dropped, and “edits” turned into full rewrites on our end. Hand-holding your agency isn’t part of the deal.
An agency that’s focused on revenue may sell more than the team is capable of doing, and you’re left with the aftermath.
Another side to this is whether the team has experience using or integrating with your tech stack.
Eric once worked with an email marketing agency that promised big things.
But ended up having no experience integrating with Microsoft Teams (a must-have for his company).
They decided to lead a procurement process for us to find a tool that integrated with Teams. This turned into a massively bloated project, when, really, they should’ve just told me from the get-go that they had no experience with this tool.
So, how do you make sure that what the sales team is offering can actually be delivered down the road?
First, ask pointed questions like:
Who on your team has experience working with the tools in our tech stack?
How much experience does your team have with these tools?
How many years of experience does the team have in this type of project?
What’s the project (within the type of service you’re looking for) that you enjoyed working on the most?
Can you give me some names of people I can talk to about your work?
Lastly, get references.
The sales team is going to say everything right. You need something solid to back up those claims.
Most agency websites say some version of “We do X for Y.” But can they explain how?
This is something you can check for on their website.
For example, what do their case studies look like? Are they just screenshots, or do they explain the process behind the work?
Here’s an example:
What looks impressive at first glance melts away when you realize these are just screenshots.
No discussion of the work, no explanation.
Here are some other warning signs to look out for:
Their process isn’t up for discussion: If an agency tells you anything along the lines of, “Trust us, we’ll handle it,” beware
They’re using the same templated strategies for every client: On the discovery call, are they bringing ideas to the table? Do they take your unique situation into account?
Their reporting is focused on big-number vanity metrics: Case studies with numbers are great. But do those numbers tell you a story of real impact?
They can’t explain why something worked: This could mean the team has little understanding of the mechanics behind the results
If you’re not sure about their process, ask questions like:
How do you approach new engagements?
How much time do you spend determining strategy?
How is the strategy adjusted as time goes on?
How often will we meet for check-ins?
Can you tell me about a project you worked on (in this vertical/type) that didn’t go well? How did your team handle that situation?
When you’re evaluating an agency, Chelsea’s advice rings true:
Ultimately, I think the biggest flag cannot be said; it can only be felt. Intuition and how you connect with someone are crucial in selecting and building long-lasting external relationships.
6 Green Flags You’ve Found a High-Performing Marketing Agency
Despite the horror stories we’ve discussed, great agencies do exist.
Here are the most common green flags — and tips for choosing a digital marketing agency that will actually deliver on its promises.
1. They Start with Questions, Not Tactics
The right agency feels like a partner.
They’re curious about your business and invested in your success.
On the discovery call, look for all of these green flags:
They start by asking deep questions about your business model, ICP, positioning, and goals
They’re comfortable pushing back respectfully if a strategy doesn’t align with best practices
They focus on how their work ties to your business outcomes, not vanity metrics
For example, KlientBoost, a PPC agency, doesn’t just offer standard strategy packages.
They ask questions about what the client needs, their goals, and their situation.
This information lets them tailor quotes to each client’s needs.
2. You Get Good Feedback From Third Parties
Good feedback, testimonials, and reviews are always a green flag.
First, check vetted, third-party review sites like Clutch.
Look for reviews that mention:
Quality of the digital marketing agency’s work
Communication style
Costs
Timing
Some reviews even include specific numbers and results.
Another way to get feedback is to ask your network.
Ask around in your favorite Slack communities and check on Reddit or LinkedIn.
You’ll learn who’s worked with this agency and what their impressions are.
Chelsea swears by using your network to find good agencies.
The best hires for me have almost always come through network referrals. When a trusted friend or colleague makes a recommendation, they’re risking their reputation to vouch for them. So you can be confident they’re worth your time.
What should you do if you don’t have any network recommendations?
Check out industry award winners, says Chelsea:
When I needed to hire a web design agency, I looked at Webflow’s Webby winners. While many great agencies don’t get awards like this, it was a sure bet to start my search by looking at those recognized in this credible, trustworthy way. I ended up finding a fantastic partner who was great to work with.
Within awards like Webby, you’ll find some incredible projects (and the agencies that made them happen).
3. The Full Team Will Be Involved in Communication
Knowing who’s involved in your project can help you have more confidence in the work being done.
Plus, if it’s easy to talk to the team before the project gets started, it’s a good sign that communication will be top-notch after the contract is signed as well.
Ask early on who will be on calls with your team.
If you find out it’s more than just one account manager, that means multiple people are invested in your engagement.
For example, check out this about page from content agency Beam:
You see the founders of this team.
But you also see the content producers and their social profiles. This level of transparency is a green flag.
4. They’re Transparent About Scope, Pricing, Timing, and How Work Gets Done
Your agency should be very clear about vital details upfront.
This includes:
The scope of the projects they do
Timing they can commit to
Any processes they use
For example, KlientBoost creates marketing plans for clients.
But even before you give them any information or sign up for a call, they show you a sneak peek of what a marketing plan looks like for their clients.
Another aspect of transparency is pricing.
Knowing what you’ll pay (and exactly what that cost includes) is essential to the project’s success.
That’s why some agencies, like A2Media, show their pricing right on their homepage:
Of course, not every agency lists its pricing publicly.
And there are plenty of different pricing structures, each with its pros and cons.
When talking about rates, ask the agency why they take the approach they do.
Get estimates for what each type of project entails.
If you’re comfortable with those ranges and estimates, include those in the contract.
When you can get clear answers to these questions, it’s a good sign they’ll live up to their promises.
When you find an agency you like, check out their marketing.
Most of the time, it’s a good indicator of the quality of their work.
In the past year, I’ve had two fantastic experiences with marketing agencies.
And both of them had one key aspect that was a huge green flag for me: their brand marketing was on point.
Take A2Media, for example.
The founder, Ademola, regularly produces video content on LinkedIn that generates strong engagement with his niche audience.
Another example is Beam.
They offer great content services to clients.
But they also produce fantastic content on their own website that’s both interesting and fun to read.
This pattern repeats itself over and over again.
KlientBoost’s LinkedIn video ads aren’t only hilarious but also deeply relatable.
Juice, a brand and web agency, has an incredibly stylish and fun website.
If they do great work for themselves, it’s a positive sign they’ll do great work for you.
6. Your Personalities Match
Yes, personality is subjective. And judging a marketing agency on “vibes” might sound a bit woo-woo.
But remember, this is a relationship. Hopefully, a long-term one.
So, the right agency should also match your style and get your vision.
Here are some green flags when it comes to personality match:
Their team seems genuinely excited about your product and mission
They treat your team members with respect, regardless of title
Their company culture aligns with yours
You enjoy working with them
They make collaboration energizing, not draining
Chelsea saw a personality match early on with a video agency, which gave her the confidence to move forward.
From the very first call, it just felt right. The agency owner and I instantly clicked and saw eye to eye on many things. He asked thoughtful, intentional questions that signaled respect, expertise, and a desire to find the best way to work together that prioritized me and my team. We’ve been working with this partner for more than a year, and have every intention of holding onto them for as long as we can.
Bonus: They Have Proven Expertise in Your Vertical
We’ve covered the most vital factors to evaluate when choosing a marketing agency partner.
But niche experience is worth considering, too.
While it’s not a necessity, it can be a really great bonus when combined with what we’ve discussed above.
For example, this agency focuses on dental practices:
While this agency focuses on marketing for law firms:
From just those two websites, it’s clear that their approach, strategy, and personality are very different.
And they’re each uniquely qualified to help clients in their chosen industry.
Other agencies may not have experience in your specific vertical. But they can demonstrate proven experience in the services you need.
For example, let’s say you want an agency that can help you show up in AI responses.
Then, you come across a case study like this:
Obviously, this agency has adapted its services to include AI search.
And has proven expertise in exactly what you need.
Ready to Choose a Digital Marketing Agency? Trust the Patterns (and Your Gut)
Choosing the right marketing agency comes down to spotting patterns.
Red flags: Overpromising, poor communication, and teams that won’t invest time in your success
Green flags: Thoughtful questions, killer third-party reviews, and teams that practice what they preach
But don’t forget the value of your gut reaction.
If something feels off during discovery, it won’t magically disappear once the contract is signed.
The best agency relationships start with a genuine connection.
As Chelsea says, “In any kind of creative work, sometimes you really do just have to go off vibes.”
When you find a team that gets your vision, respects your goals, and makes collaboration energizing, that’s your signal to move forward.
Understanding what’s happening in SEO will help you ask better questions. And spot whether agencies are using outdated tactics or staying ahead of the curve.
Marketers are making bold statements about AI SEO every day.
The problem?
Most of them are half-right at best.
“SEO is dead.”
“Long-form content is pointless.”
“AI SEO is just good SEO.”
Here’s the truth:
When it comes to AI, the answer is rarely that simple.
Are you trying to show up in ChatGPT or Google’s AI Overviews?
Do you want the AI to recommend your brand or cite your content?
Is the model pulling from training data or live web results?
Each of those questions has a different approach.
Trying to generalize only causes confusion.
So, let’s skip the hype and get specific.
This guide tests today’s biggest AI myths in SEO to uncover what’s true, what’s false, what’s complicated, and what all of it really means for your marketing strategy.
Semantic HTML (clean heading hierarchy, proper use of <p> and <section>)
Schema markup
Side note:Google has confirmed that schema markup can help with AI visibility in its own products. It’s not a guarantee, but it’s smart technical hygiene. And it’s likely to become even more important as AI evolves.
That means your ranking foundation still matters, but it’s no longer enough.
Off-site credibility: Brand associations built through mentions, citations, and expert recognition
Takeaway: SEO fundamentals get you indexed. Off-site authority gets you cited. AI SEO is about expanding what “optimization” means beyond your own site.
3. True or False: All AI SEO Works the Same
False.
Marketers talk about “showing up in AI answers” like it’s one game.
It’s not.
Google dominates the search landscape so much that traditional SEO is pretty unified — one platform, one algorithm, one analytics dashboard.
But there’s no single kind of AI visibility and no single playbook for earning it.
What’s Actually Happening
Every AI platform behaves slightly differently.
They draw from unique data pipelines, weigh off-site signals differently, and credit sources in their own ways.
For example, Google’s AI tools still echo its ranking system.
Originality.AI found that many Google AI Overviews come from the top 10 ranking pages.
But for brand mentions (answers that refer to your company), ranking seems to have more of an impact on ChatGPT.
Brands that rank on page one of Google show up more often in ChatGPT answers. Seer Interactive found a 0.65 correlation between high rankings and brand mentions.
In other words, if HubSpot ranks on page one for “CRM software,” ChatGPT is more likely to name it when users ask for the best CRMs.
Takeaway: Each platform plays by slightly different rules. Treat AI SEO like an ecosystem, not a checklist.
4. True or False: If You’re Cited by AI, You’ll Also Get Mentioned
Mostly false.
Mentions and citations aren’t the same thing — and one doesn’t guarantee the other.
Mentions = when your brand appears in the answer
Citations = when your content is trusted as a source
You need both to stay visible long term.
What’s Actually Happening
If you had to choose, being mentioned matters more in the short term.
When someone asks ChatGPT for “the best CRM for small businesses,” you want your brand to show up, even without a link.
But long-term visibility compounds when you’re both seen and trusted.
Brands that are both mentioned and cited appear 40% more often in repeat AI searches, AirOps found.
And that’s harder than you might think.
According to Semrush’s AI Visibility Index, fewer than 1 in 10 brands appear in AI answers as both mentioned and cited.
Most only get one: they’re either mentioned without a link or cited without being named.
For instance, if I look up “What’s the best HR software for small businesses?” I get the following response from ChatGPT:
Of all the responses, only Rippling was mentioned as a good choice of software and cited as a source.
Getting mentioned and cited consistently means playing a longer, smarter game.
To win both, you need to shape the way AI systems talk about your brand.
Earn mentions through off-site authority — PR, reviews, credible partnerships — and citations through trustworthy, reference-worthy content.
Takeaway: Mentions get you visibility. Citations earn you trust. You need both to last.
5. True or False: AI Engines Don’t Care About E-E-A-T
It’s complicated.
AI engines tend to cite pages that look trustworthy: clear sourcing, visible citations, and credible domains.
When AI engines use query fan-out, they break one question into many.
If a short page or definition answers a single sub-question directly, it might get pulled into that specific part of an AI answer.
Still, those are situational wins, not a replacement for authority.
And there’s more nuance here:
The Muck Rack study found that when questions got subjective — like asking for advice or step-by-step guidance — AI models pulled more from corporate blogs than authoritative news sources.
But, whether the LLMs are looking at official news sites, corporate blogs, or community sources, they consistently preferred credible content.
Credibility takes different forms. But AI systems pull from sources people trust most, whether institutional or experiential.
Clarity and organization make you easier to cite, but credibility will keep you there.
Plus, E-E-A-T keeps your content people-friendly as well as AI-friendly.
Takeaway: E-E-A-T still matters. It just needs to be paired with structured, clearly scoped content that AI systems can read and reuse.
6. True or False: Content Recency Matters Even More for AI Visibility
Mostly true.
Keeping content up to date has always been best-practice SEO.
And it’s also important for AI visibility on most of the public platforms.
But the relationship between freshness and visibility isn’t one-size-fits-all.
What’s Actually Happening
Seer Interactive found that nearly 65% of AI bot visits go to content published in the last 12 months.
I checked this out for myself using ChatGPT. I asked the query:
How do I create an AI-optimized content strategy?
Then, I asked:
Can you show me the sources you used for that answer?
And it returned:
The earliest resource was from 2023.
(It didn’t find a date for the Airtable and RevvGrowth articles because they weren’t “visible in the header.”)
Finally, I asked why it chose those sources to answer the question.
It returned:
Note: It listed recency as its top criteria.
But there’s some variation in how important recency is.
Seer Interactive found that freshness matters most in fields like finance, HR, and tax, where outdated data loses credibility fast.
In travel, the window is broader.
Evergreen guides (“best destinations for weekend city breaks”) still perform, but regular updates help maintain visibility.
And in energy, for example, relevance often beats recency. Educational, evergreen pages (“green vs. renewable energy”) continue attracting AI hits years after publication.
Even instructional content in slow-moving niches can perform long after it’s published.
Seer found AI bots still visiting decking tutorials written 10–15 years ago — proof that quality evergreen content can still hold its ground.
Takeaway: Fresh content gets more bot activity. But credible, well-maintained evergreen pages still win trust. Especially when they’re the best answer for the human behind the query.
7. True Or False: Long-Form Content Is Pointless to Create Now
False.
Many marketers are making a simple mistake:
They hear “AI prefers short answers” and conclude “AI prefers short content.”
AI is more likely to use or cite content that is structured so it’s easy to understand.
But that’s not about length. That’s about structure.
What’s Actually Happening
AI systems don’t skip long pieces.
They skip messy pieces.
Content passages with clear headings helps models scan, interpret, and extract the right snippets.
There’s nothing to say your content needs to be short.
Example: Ask ChatGPT for “the best resources to learn SEO,” and you’ll often see Backlinko mentioned.
Those guides are deep, not brief.
They’re cited because they give a complete answer in a format both humans and models can follow.
Long-form content also compounds your odds of being mentioned.
AI visibility is a probability game.
The more your content earns human discussion, the more likely it is to appear when AI answers a question.
And humans don’t rave about shallow content.
People share and reference the pieces that teach them something new: frameworks, research, comparisons, stories.
Cutting them down for AI only strips out the context that makes your brand trustworthy.
Takeaway: Long-form isn’t outdated. It’s still a way to build authority, trust, and the kind of signal both readers and AI models rely on.
8. True or False: You Should Skip the ToFu Content Now
False.
This is one of the most persistent AI myths in content marketing.
“If AI answers everything, why bother with top-of-funnel (ToFu)?”
But ToFu content still matters. It just has a new job.
In the past, you could publish a big guide like “What Is SEO?” and watch it climb the rankings.
Those broad, educational posts drove traffic because people had to click through to learn.
Now, AI Overviews and large language models answer those same questions right on the results page.
But that doesn’t mean top-of-funnel content is dead.
It just means it’s working differently.
What’s Actually Happening
ToFu content isn’t the traffic engine it once was.
But it still powers two things your marketing ecosystem depends on: awareness and authority.
ToFu Builds Awareness
ToFu content helps new audiences discover your brand, even if they don’t click.
When someone searches “What is the best time to send marketing emails?” and sees your brand name in a featured snippet or short summary, that’s still visibility.
It’s like a digital billboard.
People might not visit your site right away, but they’ll start to recognize your name the next time they see it.
The more consistently your brand shows up around key industry topics, the more familiar it feels to your future buyers.
That awareness pays off later when they’re comparing vendors or deciding who to trust.
ToFu Earns Credibility
Google and AI systems both reward depth of coverage.
They look for brands that explain an entire topic — not just their own product.
A Search Engine Land analysis of 8,000 AI citations found that AI systems repeatedly pull from in-depth, trusted sources, not surface-level articles.
If your site only has bottom-of-funnel pages like “Why Choose [Your Product],” algorithms see a narrow view.
But when you also publish foundational explainers and educational content, it shows that your brand understands the full landscape.
That matters for AI visibility too.
Takeaway: ToFU content strengthens your overall site signals. Even if ToFu posts don’t drive conversions, they reinforce your brand’s expertise across the funnel.
9. True Or False: You Should Publish 10x More Content with AI
False.
In theory, more content should mean more visibility.
In practice, that’s not what’s happening.
Teams feel pressure to publish faster because AI makes production easier.
But volume isn’t the same as reach.
Most scaled AI content dies in search before it ever earns authority.
AI platforms seem to be taking the same approach. They reward original insight and authority, not sheer output.
Takeaway: If you want visibility in both Google and AI search, slow down and build credibility.
10. True or False: High-Quality Content Is All You Need to Appear in LLMs
It’s more complicated than that.
Many marketers assume that if they simply create great content, AI tools like ChatGPT, Perplexity, or Gemini will automatically surface it.
But “great” isn’t enough.
High-quality content is a requirement. It’s what gets your pages seen, crawled, and trusted in the first place.
But visibility in AI search depends on something bigger: how consistently your brand is referenced and recognized across the web.
What’s Actually Happening
LLMs generate responses using two data sources:
Training data: The static dataset the model was trained on months (or years) ago
The live web: Real-time crawling and retrieval from indexed pages, like Google AI Overviews or Perplexity
Each system rewards a different kind of visibility, and each treats “quality” in its own way.
Training-data systems reward brand association.
When a model relies on its training data, it draws on patterns it has already learned.
That includes which brands are consistently associated with which topics.
If your brand’s name and theme appear together across thousands of credible pages, that association becomes part of the model’s long-term memory.
For example, Canva is strongly associated with “simple design.” So, if you ask ChatGPT “What is the simplest design program?” it’s probably going to answer Canva.
That’s how brands build “semantic ownership” of an idea.
Over time, those associations become the model’s defaults, a durable moat that competitors can’t easily displace.
Quality still matters here.
It determines whether people read, share, and cite your work — the human behaviors that create the signals AI later learns from.
Meanwhile, web-indexed systems reward structure and authority.
When an AI system relies on live web data, the process looks more like search.
Models retrieve pages in real time, parse structure, and extract concise, factual snippets.
In this environment, “quality” means clarity, structure, and credibility.
For example, if someone asks an AI tool “best CRM software for small business,” the model pulls from pages that look like strong search results.
In this case, that would probably be list posts with clear headings, comparison tables, and trustworthy sources.
A messy blog without structure or citations wouldn’t make the cut.
Takeaway: High-quality content is your ticket in, not your winning hand. Authority, structure, relevancy, and consistent brand signals are what actually get you cited in LLM answers.
How to Level Up Your SEO Strategy for AI Visibility
You’ve seen the myths. You understand the reality.
Now, here’s what to actually do about it.
The good news? You don’t need to blow up your entire SEO strategy.
Most of what you’re already doing still works.
You just need to expand where you’re looking and what you’re measuring.
Start Measuring What You Can’t See
Your analytics are lying to you by omission.
When someone discovers your brand through ChatGPT and visits you three days later, it shows up as direct traffic or a branded search. Zero attribution to the AI mention that started the journey.
So you’ll need to:
Track the indirect signals.
Rising branded searches while organic clicks decline? That could be LLM discovery.
Direct traffic holding steady despite fewer Google clicks? Same thing.
Sales calls where prospects say “found you through AI”? You’re getting cited.
Use dedicated AI tracking tools.
Options include Peek.ai and ZipTie.Dev. For more comprehensive features, Semrush Enterprise AIO is a good option, especially if you need full-funnel visibility and advanced reporting.
In the good ol’ days of blogging, traffic was the main goal, and it was relatively easy to get.
Now, especially for ecommerce blogs, it’s getting harder to stay visible.
The number of Google searches that end with a click is slowly decreasing, while the number of searches that end with no clicks has increased.
While the number changes are small, they’re continuing to move in the direction of no-click searches. AI Overviews give people the answers they need at a glance, and website traffic is taking a toll as a result.
Aside from these trends in Google search, ecommerce blogs also face an uphill battle against big players like Amazon or Walmart.
With all of this in mind, you might be wondering: is it still worth the effort to build an ecommerce blog?
Here’s a real world example that shows why it still matters:
Pet care brand Petlibro has been around since 2020, but they didn’t start posting on their blog until 2022. Semrush’s Domain Overview suggests their organic growth has been pretty substantial since then.
Their website is ranking organically for over 25,000 keywords and stands in the first result for almost 1,500 of those.
And not only that: Petlibro is being mentioned and cited by AI search engines — more than 700 times.
AI search references Petlibro’s blog articles and mentions the brand directly in its response.
Their blog isn’t a separate entity to their ecommerce site. It’s a strategic tool that helps their brand get seen both in Google and in AI search — and get more conversions in the process.
Here’s the point: blogging is still valuable, especially for ecommerce brands, even in the era of AI search.
The difference between today and ten years ago is that the main goal isn’t traffic: it’s delivering clear, distinctive value for the reader.
Basically, you need to build something that AI can’t.
We’re going to dive deeper into ecommerce blog examples that are currently seeing big results and show you how to apply their strategies to your own brand.
What Makes an Ecommerce Blog Successful?
The more you study top ecommerce blogs, the more patterns start to emerge.
Before we explore each of the following examples in depth, keep an eye out for these key aspects of successful ecommerce blogs:
They know exactly who they’re talking to: All the top ecommerce blog examples we’ll discuss have a very clear target audience. And the content speaks directly to those people.
They understand intent: People search for certain terms just to gain information. Others search to learn about products, and others search because they’re ready to buy. The best ecommerce blogs know the difference between those different search intents. Then, they can create content that matches the intent of the search.
They present information in a way that’s easy to read and understand: There’s no specific format that guarantees success. But each example uses blog design essentials to make the information understandable. Their content also includes strong introductions and content that’s unique and interesting.
They integrate their store directly with their blog: The most successful ecommerce blogs are focused on conversions over traffic, and use smart integrations to showcase their products on the blog.
They prepare content to do well in the age of AI search: These blogs show up consistently in AI search by producing the kind of material AI loves to reference and mention. You’ll see how they create content that’s well structured, authoritative, and unique.
Now let’s see seven ecommerce blogs that exemplify these principles.
The goal of any ecommerce blog is to do more than just build traffic. You also want to build authority, win visibility in both Google and AI search, and nudge readers closer to buying.
The following examples cover a range of categories and company sizes. While they may not all have tens of thousands of visits per month, they’re all using their blog as a conversion tool and a way to get seen both in Google and in AI search.
And they all have something to teach you about staying visible, memorable, and findable as an ecommerce blog.
Note: We got the numbers for each of these from Semrush’s SEO Toolkit. Traffic numbers aren’t going to be 100% accurate (only the brands themselves will have the most up-to-date numbers). But it’s still useful for understanding broad trends.
1. Garmin
Industry: Consumer electronics
Organic blog traffic: 61.8K
Backlinks: 77.7K
Keywords: 46.1K
In the world of smartwatches and specialty sports gear, Garmin truly stands out. Their blog has grown consistently since mid 2022.
So, what makes this ecom blog stand out?
First off, the articles are a healthy mix of informational and commercial content.
For example, this article on finding your V02 max ranks for 4.6k keywords, and ranks #1 for 95 of those. It even shows up in the AI overview for a couple of difficult keywords.
The article is a deep-dive into a complex topic their audience is interested in. And while someone searching “good v02 max” may not be immediately interested in buying a watch, Garmin still includes plenty of ways to explore their products from this blog post.
For instance, readers can see CTAs to some of their most relevant watches in the sidebar, and they also see links to product categories in the text.
But Garmin also knows how to focus their blog on buying intent, which is why they also rank for terms like “Garmin aviation watch.”
From this single keyword, Garmin’s article on aviation watches gets 3.7k monthly organic traffic by ranking for 63 keywords. (I guess pilots really like their watches.)
But more than just creating content for search, Garmin has cracked the code on creating content that gets mentioned by AI.
Just look at Garmin’s incredible AI visibility score, with over 52k mentions:
AI search loves to highlight product information directly from the brand. Which is why Garmin’s clear, detailed support documentation appears so often in AI search results.
But their blog posts are also cited by AI to respond to product-related questions, like which smartwatch has the best battery life.
Something else that Garmin has done well is combine their content efforts on their owned channels with mentions across the web. Whether it’s tech review sites, YouTube videos, fitness blogs, or Google reviews, Garmin’s products are mentioned positively in a lot of places.
The result?
Semrush’s AI Visibility Index found that Garmin ranked #4 in AI Share of Voice for consumer electronics brands. They sit right at the top with heavy hitters like Apple and Google.
Key Lessons from Garmin’s Blog
Garmin is a multi-billion dollar company, well-known in its space. But importantly, they dominate their category. When you own a category (like smartwatches), it’s much easier for AI to surface your content and products to users.
Another company doing this is Patagonia. They dominate the category of ethical fashion, and have gained 21.96% of the AI Share of Voice (for Fashion & Apparel).
Another lesson from Garmin’s blog is the importance of providing clear information about your products.
AI search results tend to cite brands as authorities on their own products. But if you don’t answer the questions searchers have about your products? AI will usually attempt to base its answers on someone else’s article (whether that information is correct or not).
Finally, remember that your blog isn’t a solo marketing effort. When you partner with content creators outside your owned channels, you can expand your visibility in AI.
The more positive mentions your brand gets, the more likely you are to see yourself in AI answers and overviews.
We’ve already introduced you to Petlibro above: showing the power of blogging for ecommerce brands. Not only do they show up in search results, Petlibro’s blog posts are also being cited and mentioned by AI.
Take this post for example:
This informational post answers the question of how often to change the filters in a cat fountain. It’s not too long, but it answers the question clearly and gives just the right amount of detail.
So, along with ranking for 44 different keywords, it’s also showing up inside the answers given by ChatGPT and other AI search tools.
Another post, explaining why cats bring you toys, ranks in the top 10 for 14 keywords, and appears in the AI overview in Google.
But Petlibro doesn’t just post informational articles. They do a great job of striking the balance of intent, focusing on content that matches what the searcher is looking for.
For example, this blog article about choosing the perfect cat tree gets more than 500 visits per month and ranks for 127 keywords. Best of all, most of these keywords have commercial or transactional intent.
Key Lessons from Petlibro’s Blog
First off, Petlibro shows it’s important to develop a healthy mix of informational and transactional content.
Going after keywords at the top of the funnel works to build your authority. But content that helps point people to the right products when they’re already in the mood to buy brings more immediate results.
Next, for your brand to be visible in both Google and AI, you need to answer the questions people are asking. You can start by doing research on forums, but also try tools like Semrush’s AI SEO toolkit for prompt research.
This can give you an idea of the prompts people are using in AI platforms, and which websites AI is currently referencing or mentioning directly.
For example, let’s try searching for “home security camera systems.”
In the Prompt Research report, you can see AI volume for that topic, how difficult it is to gain visibility, the intent of the questions in this topic, and more details about the prompts used and the brands mentioned.
This gives you a great starting point to see what people are asking about within your topic. Then, you can create content that answers those questions.
3. Great Jones Goods
Industry: Cookware
Organic blog traffic: 11.6K
Backlinks: 1.7K
Keywords: 4.9K
Great Jones Goods’ blog stands out with fantastic visuals and content that is tailored to their audience.
Honestly, just looking at this blog is making me want to get into the kitchen and bake something.
Their blog has two main sections: recipes and personal profiles.
You gotta love these recipe posts. Just take this one for arroz con gandules:
Each recipe has a different author. So each post has a very personal feel.
It’s just like your favorite recipe blog, but without so many layers of fluff.
The posts also mention the cookware the author used (subtly highlighting their own products).
And each recipe is also accompanied by beautiful step-by-step visuals.
This all looks great: but what about the results?
Great Jones Goods isn’t getting millions in traffic. But their content does show up in all the right places.
For example, their profiles of chefs and well-known people rank in search results:
And their recipe posts also show up in AI overviews:
Their blog is consistent and targeted at their specific audience. Instead of being “sales-y,” they focus on being part of the community that they want to sell to.
Key Lessons from Great Jones Goods’ Blog
Beautiful, descriptive visuals are a key component of high-quality blog content. Plus, it’s a great way to make your blog stand out as different. When you’re creating content for your blog, ask yourself: how can I create something that AI can’t?
Great Jones does this by including step-by-step imagery and real-world examples of their products in use. That’s something shoppers love to see, and AI can’t replicate.
Another key takeaway from this ecommerce blog example is to include your community in your content. Great Jones does this with in-depth personal profiles that talk about the joy of cooking — something their target audience shares.
People crave connection with other humans, now more than ever. You can use your blog to become part of that community.
Try including people that the community already knows and loves. This will help your blog be more personal, as well as give you new ways to promote your blog.
When your brand is dedicated to a mission, you can use your blog to promote and grow that mission. And that’s exactly what the period underwear brand Thinx has done with their “Periodical” section.
First, they chose an incredibly appropriate name for their blog. Next, they filled it with articles all about menstrual health for women and teens.
The articles are generally on the short side, but answer key questions their audience is asking. And with that, they’re able to rank for difficult keywords like “when do you ovulate,” “period blood clots,” or “period nausea.”
Just this one article on ovulation ranks for 1.3k keywords, most of which are either hard or very hard to rank for per Semrush data.
They also build educational resources around the message: Get BodyWise.
Thinx takes body literacy seriously. In fact, they have a dedicated resource page aside from their blog that is built to provide candid, accessible information for people who bleed.
This even includes a series of educational videos from Dr. Saru Bala on women’s health.
Everything they do on the blog supports their mission to make period products and education more accessible to everyone who needs it.
And while their content doesn’t heavily promote their products (possibly on purpose), they do list a handful of relevant products at the end of each blog post. Just the right mix of promotional and educational.
Key Lessons from Thinx Periodical Blog
Your company mission statement isn’t just something that lives quietly on your About page.
It should be a living, breathing part of your business ethos.
It should come through in your marketing.
When your blog has a core mission behind it, the content you create has a clear direction. You’re not just chasing keywords: you’re building educational resources that truly benefit your audience.
The result?
Thinx builds brand affinity naturally over time, increasing the chances that folks will choose Thinx over a competitor when they’re ready to buy.
5. King Arthur Baking
Industry: Cooking ingredients
Organic blog traffic: 730K
Backlinks: 133K
Keywords: 338K
King Arthur Baking’s blog ranks in the top 10 for some of the most difficult keywords in baking. That includes terms like “baguette,” “pizza,” or “types of cinnamon.”
So, how did they get here?
King Arthur Baking didn’t limit themselves to written content. They created a content ecosystem that also included multimedia content.
Currently, the King Arthur YouTube channel has over 330K subscribers. They post recipes, along with video versions of their podcast episodes.
These videos work seamlessly inside their blog posts.
For example, check out their blog post on chocolate chip cookies.
The video from their YouTube video is part of the image gallery at the top.
But it’s also spliced together with the step-by-step recipe instructions below.
Doing this increases their chances of ranking for difficult keywords. And in some cases, they even rank more than once in the search results.
Key Lessons from King Arthur’s Bakery Blog
Google and AI won’t rank what they can’t understand, so giving clear structure and formatting to your blog is an essential first step to rank better.
For example, King Arthur uses schema markup for their recipes. This helps them rank in rich results on Google.
Another lesson from King Arthur is using multimedia when it makes sense. Try creating videos that show your products in action, or clearly answer a question that your audience is asking. These can help you increase time on page and appear in more search results.
Finally, know when to push your products. King Arthur does a great job of subtly adding their products to content.
For example, their blog posts include “featured products,” a CTA to “Shop this recipe,” and “Recommended for you” products at the end of each post.
6. Keychron
Industry: Electronics
Organic blog traffic: 62.1K
Backlinks: 7.1K
Keywords: 25.8K
For a seriously niche blog and product, Keychron has a pretty hefty presence online. Their blog has had steady traffic growth since around 2020. And they rank for all kinds of keywords about keyboards.
For example, this article about hall effect switches gets over 1,700 visits per month.
The post ranks #1 for that main keyword. But it also appears in search results, AI overviews, and image packs for 137 other keywords.
Their blog posts do a great job of using visuals to explain topics about the tech. And they get to gently promote their own products when appropriate.
Of course, this kind of top-of-the-funnel content is likely to drive less traffic as more people rely on AI Overviews and other AI tools for quick answers to their questions.
But it can still drive some traffic. And careful linking and CTA placement can turn that traffic into conversions.
Key Lessons from Keychron’s Blog
One key takeaway from Keychron’s blog?
Don’t be afraid to go niche.
Your audience may have very deep knowledge of a topic (like keyboards), or they may be generalists looking for an overall view of the topic. It’s up to you to know who your audience is, and develop content for them.
Topics like “Best Keyboards for World of Warcraft” may seem niche, but it fits Keychron’s highly specific audience (and does a great job of showcasing their products).
The root domain didn’t take as much of a hit. But the blog experienced a spike and a sudden drop around early 2021.
Thankfully, Huckberry didn’t let that stop them.
They still had another card up their sleeve: their YouTube channel.
While the channel was created back in 2016, there was no consistency, and hardly any views.
But sometime after traffic dipped on the blog, we see a change in the posting pattern on YouTube. Suddenly, they’re posting consistently.
They share video series, interviews, and more (some of which get hundreds of thousands of views).
And over time, Huckberry became the go-to place for adventure content for men.
They started sharing videos about culinary travel and adventure stories with members of the community. Plus, they posted gear reviews that linked back to their products.
That multimedia strategy helped Huckberry’s blog gain consistent growth again. Plus, their YouTube channel took off — today, it boasts over 375K subscribers.
That video strategy made them adapt the way they present content on their blog as well.
Many posts include videos with gear reviews and style help. The videos are funny, personable, and mention the brand’s products without sounding like a sales pitch — it really sounds like two friends shooting the breeze.
The posts themselves also do a beautiful job of incorporating products:
Almost all their posts follow classic blog post templates, but maintain the vibe of a cool online magazine.
Key Lessons from Huckberry’s Blog
Huckberry’s key lesson is this: don’t give up after a traffic dip.
Blog traffic can dip for many different reasons, but it doesn’t mean your blog is a lost cause. When you see a dip, dig into the data.
Have you lost ranking on major keywords? Are clicks down? Run through a basic SEO checklist to make sure you’ve got your bases covered.
Then, go back to the question we’ve talked about before: What can you create that AI can’t replicate? Define how your blog is differentiated from what AI answers can deliver, and what value you can bring to your audience.
Your Ecommerce Blog Can Succeed — If You Trust the Process
You can’t build a successful ecommerce blog overnight. But the brands above prove it’s worth the effort.
When you do it right, your blog becomes more than a traffic source. It’s a growth engine that boosts visibility, builds trust, and strengthens your brand in both Google and AI search.
Keep answering your customers’ questions, stay focused on your niche, and build consistency over time.
But remember: your blog is just one piece of your overall strategy.
To go deeper into building a comprehensive marketing strategy for your ecommerce brand, check out our full ecommerce marketing guide.
Ask the same question in 11 AI search engines, and you’ll get 11 different answers.
Sometimes wildly different.
Some engines focus on visuals and shoppable results. Others go deep into research. A few just try to get you an answer, fast.
Each platform prioritizes and presents it differently.
And those differences matter.
Not just for users, but for brands trying to get discovered in AI search.
So, I tested popular and lesser-known AI engines on accuracy, depth, user experience, and other factors.
Only four made the cut.
In this guide, you’ll learn which AI search engines came out on top, including pros, cons, and pricing. I’ll also share which engines didn’t make my list, and why.
Along the way, you’ll get a few tips on using these insights to improve your AI visibility.
Start with a quick overview of my findings below. Or jump straight to the #1 AI search engine on my list: ChatGPT.
What Are the Best AI Search Engines?
Tool
Best for
Pros
Cons
Price
ChatGPT
Comprehensive research and shoppable product comparisons
Visual layout with tables and images; remembers context across follow-ups; direct purchase links
Overwhelming results for broad queries; accuracy issues; overly agreeable
Free or $20+/month
Google AI Mode
Quick product searches with real buyer reviews
Fast product results with pricing and reviews; integrates Google ecosystem
Vague on informational queries; no comparison tables; unavailable in some regions
Free
Sigma Chat (Formerly Bagoodex)
Research deep dives that build on previous questions
Weak product presentation; no pricing or buy links; poor visuals
Free or $10+/month
Microsoft Copilot
Fast answers in clean, skimmable formats
Clean categorization; fast responses; easy to skim
Surface-level depth; no product links; weak for shopping
Free
How I Tested 11 AI Search Engines
To keep things consistent, I ran the same set of prompts across 11 AI search tools.
Note: For this article, I defined “AI search engine” as any generative AI platform that can understand queries, pull information from sources, and deliver answers in natural language.
This included big names like ChatGPT, AI Mode, and Perplexity.
And newer players like Arc, Andi, and Sigma Chat.
I focused on one topic (running shoes) and tested a range of prompts across different search intents.
This showed how well each engine handled the full customer journey, from research to shopping.
This included:
“Best running shoes”: Assesses top-level recommendations and how each engine handles broad prompts
“Best running shoes for beginner marathon training”: Evaluates personalization and context handling as the prompt narrows
“How long do running shoes last?”: Gauges accuracy on general product knowledge and durability expectations
“Of the trainers you’ve recommended, which ones will last the longest?”: Tests the accuracy of product details and the engine’s ability to remember details from previous prompts
“Can I wear any of these running shoes recommended for hiking?”: Assesses how each AI handles reasoning, real-world nuance, and potential safety considerations
I evaluated each tool on five factors:
Accuracy: Did it understand the intent and get the facts right?
Depth: Did it add helpful context or just summarize existing content?
Transparency: Did it credit or link to its sources?
User experience: Was the output fast, skimmable, and well-organized?
Adaptability: Could it handle follow-up questions naturally or refine vague prompts?
After testing all 11 AI search engines, these four stood out as the best for different reasons.
1. ChatGPT
Best for comprehensive research and shoppable product comparisons
This is true whether you’re comparing products, researching topics, or looking for a step-by-step tutorial.
It also remembers context across follow-up questions.
I started with a broad prompt and added specifics as the conversation progressed. ChatGPT remembered key details without making me repeat myself.
For shopping queries, the visual presentation stood out.
When I searched for running shoes, for example, ChatGPT returned products with images, prices, reviews, and short descriptions.
It also included links to retailers and external articles. This made verifying product details and purchasing easy.
The summary tables were particularly useful.
After inquiring about shoe lifespan, ChatGPT delivered a clean comparison table with products and their expected mileage.
For brands: ChatGPT’s visual layout isn’t just useful for shoppers. If you’re trying to get your brand referenced by AI search engines, it also reveals what these models prioritize. Use tables, clear specs, and organized categories on your product pages to help both shoppers and AI find your information faster.
ChatGPT is also evolving quickly.
Features like Instant Checkout (currently limited to select Etsy sellers in the United States) let users complete purchases directly inside the chat.
Great for shoppers — and even greater for the brands featured in ChatGPT’s recommendations.
Where ChatGPT Falls Short
When I tested ChatGPT, I got what most people want from AI search: answers that feel confident and complete.
But not every response was perfect.
Broad prompts, such as “Best running shoes,” resulted in lengthy lists of brands, product categories, and features.
The information took real effort to digest.
Specific prompts worked much better.
I also noticed minor inaccuracies in some instances, like when I asked about shoe lifespan.
After fact-checking the replies, some details didn’t match the manufacturer’s specifications.
For example, ChatGPT said the Brooks Ghost running shoe has a lifespan of 450 to 500 miles. But the actual range is 300 to 500 miles.
This also highlights a larger problem.
ChatGPT pulls information from multiple sources, such as blog posts and brand sites.
But it also relies on forums like Quora and Reddit, where users share personal experiences.
It then aggregates the information into its responses. This can lead to inaccurate and misleading information.
For brands: Provide clear answers to common user questions on your site. Otherwise, AI search engines may turn to other, potentially inaccurate sources for this information. Add tables with specifications, be explicit about ranges and measurements, and use structured data so AI can extract and cite your product information correctly.
ChatGPT also tends to be overly agreeable.
Whatever you prompt, ChatGPT will lean toward flattery and agreement — even when it involves safety.
For example, when I asked, “Can I wear any of these running shoes recommended for hiking?”
ChatGPT’s response was:
“Good question 👍 — you can hike in road running shoes, but whether it’s a good idea depends on the terrain and how far you’re going.”
Not the worst.
But not as good as other AI search engines in this aspect, like AI Mode, which was more cautious.
AI Mode said:
“It is not recommended to use the road running shoes previously mentioned for hiking…they lack the key features that provide the necessary grip, protection, and stability for off-road trails. Using them for hiking could lead to injury.”
Overall, ChatGPT is fast, detailed, and helpful.
But it can be too generous with information — and too polite to push back.
It pulls product listings, prices, and reviews directly into the search interface. This makes it ideal for shoppers who want to quickly compare products before purchasing.
What AI Mode Does Well
AI Mode shines when you have clear buying intent.
It instantly surfaces product options with images, prices, star ratings, and quick links to retailers. And it’s all in a clean, scrollable layout.
When I searched “best running shoes,” it showed a curated carousel of options with price comparisons across multiple sites.
I especially liked how it paired Google Reviews with its recommendations — a small detail that makes decision-making faster and builds trust.
For me, that worked perfectly.
Getting straight to the products moved me faster toward a decision.
But some users may prefer more background or context for researching and weighing options. ChatGPT’s research-style answers still win in this regard.
For brands: AI Mode pulls heavily from Google Reviews and structured product data. Focus on getting detailed, positive reviews and keeping your product schema markup up to date. These signals can influence whether your products appear in AI-generated results.
Where AI Mode Falls Short
AI Mode is not yet available in all countries, although it’s rolling out quickly.
And unlike ChatGPT, it didn’t provide any comparison tables for any of my prompts. Just products and bullet points.
This meant more scrolling and clicking to find and digest the information.
This was evident when I asked which of the recommended shoes would last the longest.
AI Mode’s response was vague and unhelpful. It said the Brooks Ghost shoe was “exceptionally long-lasting.”
It didn’t provide any of the specifics that would make me want to purchase this shoe. Like mileage range and how it differed between the options.
If you’re early in the evaluation phase, AI Mode can feel limiting.
But it delivers when you want a shortlist of top contenders.
Pricing
AI Mode is available for free within Google Search, depending on your region.
Best for research deep dives that build on previous questions
Sigma Chat’s iterative search and in-depth replies are excellent if you love to research.
Ask a question, get an answer, then drill deeper into related topics — and it remembers the full thread.
Note: Bagoodex launched in 2024 and has since rebranded as Sigma Chat. For this review, I tested it against the standard modes of other tools. ChatGPT’s Thinking mode and Perplexity’s Research mode are designed for deep research and may perform differently.
What Sigma Chat Does Well
Sigma Chat stood out for its ability to build on previous context.
When I asked follow-up questions, it remembered what I’d already searched and adjusted its answers accordingly.
No need to repeat myself or reframe the entire query.
For example, after I asked which of the recommended shoes would last the longest, it specifically referenced “marathons.”
(Even though I hadn’t mentioned this criterion again after the initial prompt.)
Sigma Chat’s follow-up suggestions also stood out for their potential to aid deep research.
Instead of ending with one answer, it nudged me toward related questions I hadn’t considered:
This makes it particularly helpful for any kind of research, whether you’re comparing products, building content outlines, or researching niches.
For brands: Sigma Chat rewards depth and topic clustering. To increase visibility in AI tools like this, build content hubs around your main topics — link related pages together and cover every sub-question your audience might ask. The more complete your coverage, the easier it is for AI to surface your site in deep research queries.
Another interesting feature of this AI search engine?
It suggests prompts tailored to content creation. This is especially helpful if you’re using it for marketing purposes.
After providing search results for the best running shoes for a marathon, it offered unexpected options like:
“Write a blog post about this topic”
“Create an image on this topic”
I tested the blog prompt, and it generated a quick draft titled “Marathon Training on a Budget: Choosing Durable Running Shoes.”
It wasn’t something you’d publish as-is, but it was a decent starting point.
If you’re prone to writer’s block or need to quickly draft comparison content around competitor products, it’s a particularly helpful feature.
From there, it suggested additional prompts like “Add a call to action” and “Shorten for social media.”
This makes it easy for marketers to generate content for multiple platforms at once.
Microsoft Copilot has the cleanest layout of any AI search engine I tested.
It’s fast, structured, and organized. Perfect for people who want distraction-free takeaways.
What Microsoft Copilot Does Well
When you ask Copilot a question, it responds instantly with skimmable categories, bullet points, and emojis.
For example, when I searched “best running shoes,” it broke recommendations into helpful categories:
“Best overall”
“Best stability shoe”
“Best daily trainer”
When I narrowed the query to “best running shoes for beginner marathon training,” Copilot further refined the results.
It added details about who each shoe was best for, making the advice more actionable — a nice touch for a tool focused on clarity.
Even for informational queries like “can I wear these for hiking,” Copilot delivered a simple breakdown.
And added specific scenarios where running shoes would and wouldn’t be ideal for hiking.
When you want fast, direct answers without having to sift through a bunch of content, Copilot is a great option.
For brands: Pay close attention to how Copilot structures its answers — categories, comparisons, “best for” labels. Use similar formatting on your own pages to help AI tools extract and present your content more effectively.
Where Microsoft Copilot Falls Short
Copilot’s polished format comes at a cost: depth and shoppability.
Its responses are tidy but often too surface-level — especially for commercial searches like “best running shoes.”
When I tested this prompt, it didn’t link directly to any product pages or show pricing.
So, I couldn’t easily comparison shop, verify information, or choose a merchant and purchase immediately.
Instead, it summarized content from other “best” listicles and linked those sources.
Like Sigma Chat, unless Microsoft improves its shoppability, it’s unlikely consumers will use it for this purpose.
Instead, Copilot works better as a light research tool — especially when you want fast information with minimal reading.
AI Search Engines That Didn’t Make the Cut (and Why)
All of these AI search engines had their pros and cons.
But overall, they fell short for different reasons.
Claude
I really liked Claude, but the output was very similar to ChatGPT.
This isn’t a problem, but I didn’t want to list tools that were similar in functionality.
I wanted to provide only the best.
Compared to ChatGPT, Claude lacked product links and visuals:
The wall of text made the information challenging to process.
I did like the categorization, but ChatGPT does this too — with tables that are easier to skim.
Perplexity
Like Claude, Perplexity came somewhat close to ChatGPT in overall performance.
When asked a prompt with buying intent, it provided a short summary along with product images, pricing, and star ratings.
No tables to help me quickly compare features and options, though.
The summary was also fairly generic.
And didn’t feel all that tailored to my prompt, even when I used the more specific “marathon” wording.
Brave
Brave, a privacy-focused AI search engine, felt too much like traditional search.
It features long lists of articles without any clear hierarchy or comparison features.
While this might be helpful for browsing links, it doesn’t summarize much or help you make quick decisions.
Andi
Andi, a minimal AI search tool, offered few results, sometimes just one (e.g., a single Reddit thread).
It’s a bit like the “I’m Feeling Lucky” button on Google. Simple to use but extremely limiting for in-depth research or shopping.
Arc
Arc, a mobile- and browser-based AI search engine, requires a download to use.
This is inconvenient compared to browser-based AI search.
When so many other options exist, it’s hard to justify using this AI engine for this reason alone.
You
You is a solid AI search engine that has been around for multiple years.
But it was slow to respond and didn’t link to products in commercial searches.
Ultimately, I found it less useful than the other AI tools overall.
What This Means for Your AI Search Visibility
After testing 11 AI search engines, one thing became clear.
No matter how their formatting or preferences differ, the goal remains the same: to serve clear, credible, and well-structured content.
If your pages do that — with comprehensive coverage, positive reviews, and clean markup — you’ll be positioned to perform well across all AI search engines and LLMs.
Ad intelligence software promises to show you everything your competitors are doing: their keywords, budgets, creatives, and landing pages.
But many surface insights you could get for free.
Meta’s Ad Library shows what advertisers are currently running. Google’s Transparency Center does the same for search and YouTube. TikTok’s Creative Center reveals top performers by industry.
So, when does paid software earn its cost?
You’re tracking multiple competitors across platforms and losing hours to manual checks
You need historical data on which ads they tested and killed
You rely on spend benchmarks and real-time alerts to catch shifts before your clients do
That’s the gap paid tools fill. If they’re good.
Many aren’t. They bury useful insights under dashboards that create more work than they save. The data looks complete until you actually try to use it.
This guide covers six platforms that deliver real intelligence (if you know what you’re looking at).
We’re not promising magic improvements. We’re showing what each tool reveals, who it’s built for, and what you give up at each price point.
What Is the Best Ad Intelligence Software?
Ad Intelligence Tools
Best For
Price
Similarweb
Best for stalking competitors’ ads at scale — plus, their SEO, traffic, and market moves
$649+/month. (Only higher-tier plans come with ad intelligence.)
Semrush Advertising Toolkit
Best for multi-platform ad intelligence, from Meta and TikTok to Google Shopping
$99-$220/month
SpyFu
Best for affordable Google Ads intelligence with deep historical data
$39-$249/month
PowerAdSpy
Best for analyzing ad engagement across social media platforms
$69-$399/month
Adbeat
Best for tracking competitor display ads and landing pages
$249+/month
Pathmatics
Best for enterprise-level ad spend intelligence across mobile, social, and video
Pricing is not publicly available
1. Similarweb
Best for stalking competitors’ ads at scale — plus, their SEO, traffic, and market moves
Similarweb reveals your competitors’ complete paid strategies, from their winning ad creatives to their most successful publishers.
It also includes SEO and competitive intelligence tools in every subscription, so you get the full picture of how your rivals attract and convert traffic across every channel.
This cross-channel context is especially helpful if you already use native ad libraries but want scalable intel that ties everything together.
Learn Your Competitors’ Highest-Performing Publishers and Ad Networks
If your competitors are running ads, Similarweb shows you where (and how to beat them).
You’ll see:
Which ad networks and placements work best for your top competitors
Where their ad budgets go, broken down by channel
Industry-wide trends that reveal missed opportunities
Say Similarweb shows that multiple competitors spend over 50% of their display budgets on a single publisher.
That’s a data-backed signal you can’t ignore.
Use that data to target the same publisher to test similar placements. Or find underused publishers in the same category for more affordable traffic.
Get Inspired by Proven Ad Creatives
Similarweb’s database makes it easy to browse display ads by publisher, network, and format.
See the messaging and offers competitors use to get conversions
Learn how many days each ad was active, so you know which ones excelled (and which ones failed)
Find out which formats your competitors are using, including product, display, and video ads
Of course, copying your competitors’ ads word-for-word isn’t the goal.
The real value is in spotting patterns: the hooks they repeat, the formats they invest in, and the offers they continually test.
These insights let you design campaigns that build on what already works in your market.
When you’re juggling multiple accounts, this saves hours of creative testing, and points you directly toward proven formats.
Reverse-Engineer Competitors’ Search and Shopping Campaigns
Similarweb shows you which keywords your competitors bid on and how much they’re spending.
This helps you identify high-value keywords that drive conversions and avoid wasting budget on terms that don’t perform.
From there, you can build stronger landing pages that target your competitors’ most successful keywords and match intent.
Pros and Cons
Pros
Cons
Tracks 500M+ ads across publishers, networks, and formats for deep competitive insights
Ad intelligence tools only available with the most expensive plan
Uncovers competitors’ top-performing publishers and ad placements
Can feel overwhelming for smaller teams due to the platform’s depth
Includes SEO, traffic, and market data for a full competitive picture
If you only want ad intelligence, you’ll be paying for much more than you need
Pricing
Similarweb offers multiple plans, but only the most expensive one includes dedicated tools for ad intelligence.
This plan costs $649/month ($540 billed annually). Similarweb also offers business and enterprise plans, but pricing and tools are not publicly available online.
Best for multi-platform ad intelligence, from Meta and TikTok to Google Shopping
When you’re managing multiple clients or campaigns, switching between Meta, TikTok, and Google dashboards gets messy fast.
Semrush’s Advertising Toolkit consolidates that chaos into one workspace — letting you analyze competitor campaigns and build your own in the same place.
You’ll get deep intel on keywords, budgets, ad copy, and creative trends.
Plus, actionable advice on how to turn that data into high-performing campaigns.
Track Competitor Keywords and Budgets
The Advertising Research tool reveals everything, and we mean everything, about your competitors’ Google Ads strategies.
Enter any domain and you’ll see:
Estimated ad traffic
Cost per click (CPC)
Highest- and lowest-performing keywords
Organic search position
Keyword difficulty
URL
No more wasting ad budget on terms that don’t perform. You’ll know exactly which ones to target in your next campaign.
The tool also tracks keyword trends over time.
See which keywords competitors continuously invest in month after month.
When a keyword consistently appears in their paid strategy with stable or growing volume, that’s a clear sign it’s profitable.
With this data, you might test variations of the keyword in multiple ads to capitalize on its success.
Or use them to inform your broader content strategy beyond paid campaigns.
Spy on Google Shopping Ads
Have an ecommerce brand?
The PLA Research tool shows you which products your competitors promote most heavily in Google Shopping.
You’ll see position, volume, price, product titles, URLs, and trend data for each listing.
When a product shows up month after month, it’s likely a top seller.
If you don’t carry that product yet, you might consider adding it to your catalog.
Already sell it? Increase your Shopping ads to compete directly.
You can also view all of your competitors’ Google Shopping ads in one place.
Analyze their copy, images, and offers.
Then, apply these insights to your own listings:
Adjust your product titles to match high-performing formats
Test pricing strategies that undercut or match theirs
Prioritize ads for products where you have a competitive advantage. Think better reviews, faster shipping, or exclusive features they don’t offer.
Here’s another cool feature:
Instead of bouncing between tools, Semrush’s AI-powered Ad Launch Assistant lets you create and optimize Google and Meta ads directly inside the platform.
The tool generates copy and visuals tailored to your brand, from attention-grabbing headlines to conversion-focused descriptions.
Instead of writing everything from scratch, all you have to do is review each element:
Headlines
Descriptions
Site links
Callouts
Images
Videos
Simply refine the voice and messaging as needed. You’ll be able to test multiple variations in minutes instead of hours.
Unlock Deeper Insights with AdClarity
AdClarity is Semrush’s advanced cross-channel ad intelligence tool.
Need complete visibility into competitor display, social, and video campaigns?
This is where you’ll find it.
You’ll get a lot of data with this tool.
Including how much rivals spend, which publishers drive the most impact, and the exact creatives they’re using across platforms:
Facebook
Instagram
X
Google Display
Pinterest
YouTube
TikTok
LinkedIn
Say a competitor suddenly doubles their TikTok spend. You’ll spot the shift immediately and can adjust your strategy in real time.
AdClarity also automatically identifies your competitors’ top publishers and campaigns.
So there’s no guessing or testing which ones work well for your target audience.
Pros and Cons
Pros
Cons
Combines robust multi-site ad intelligence with Meta and Google campaign execution in one platform
The base plan includes only Google and Meta ad intelligence
Google Shopping insights are especially strong for ecommerce brands
AdClarity is only included the higher-tier plan
AdClarity offers advanced ad intelligence across display, social, and video
Doesn’t include SEO tools; you’ll need a separate toolkit for that
Pricing
The Semrush Advertising Toolkit is $99 per month.
It includes Advertising Research, PLA Research, Ads Launch Assistant, and more.
The higher-tier plan ($220/month) includes AdClarity, along with all of the above.
3. SpyFu
Best for affordable Google Ads intelligence with deep historical data
SpyFu is built for one thing: uncovering Google Ads strategies.
If your strategy leans heavily on Google, it’s one of the most detailed and budget-friendly advertising intelligence software options available.
Download Competitor Keywords Without Limits
SpyFu shows you everything your competitors do on Google Ads — and lets you export it all with no limits.
Many ad intelligence platforms cap your keyword downloads, so this is a plus.
Type in any competitor’s domain and you’ll see:
Every keyword they’ve ever bought on Google Ads
Estimated monthly clicks and CPC
Total spend on paid search
For example, say you’re in SaaS project management and Asana is your top competitor.
Search their domain, and SpyFu shows you their current and historical ad keywords. We’re talking thousands of terms, not just the top 50 or 100.
Download the complete dataset and…
Feed it into your analytics tools or Google Sheets
Share it with your team for campaign planning
Build custom reports for leadership
Cross-reference it with your CRM to see which keywords actually convert
Spot Overlaps and Waste in PPC Strategies
SpyFu’s Kombat tool compares your PPC strategy against up to two competitors at once.
But instead of having to sift through 10,000 keywords, the ad intelligence tool automatically groups them into helpful buckets:
Core Keywords: Terms all competitors are bidding on
Consider Buying: Valuable keywords they use, but you don’t
Potential Ad Waste: Terms that neither competitor uses but you do
So, you know exactly which terms to focus on (and which to remove from your campaigns).
This is especially helpful if you’re newer to paid campaigns.
Or have limited time (or tolerance) for turning data into actionable insights.
SpyFu also tags certain terms as “Great Buys” and estimates how many impressions you’ll get for each one.
Plus, it shows which competitors already bid on them, so you can piggyback on proven opportunities.
For example, the report below reveals that Asana’s competitor, Monday.com, uses “top task management apps” and “work time tracker app” in its ad strategy.
Asana could (and probably should) target both terms since SpyFu’s data shows they’re worth the investment.
Learn From Ads That Worked (or Failed)
SpyFu’s Ad History tool shows every ad variation competitors have tested for a given keyword.
If an ad copy ran for 14 consecutive months, you know it was effective.
If it vanished after a week? Probably a dud.
This kind of insight lets you write ads with fewer flops and faster wins.
This is especially valuable if you handle multiple accounts. You can skip obvious mistakes and start from proven winners.
Pros and Cons
Pros
Cons
Unlimited keyword exports with no download caps
Focused exclusively on Google Ads; no social or display coverage
10+ years of historical ad data for deep competitive analysis
Historical data (10+ years) requires paying for higher-tier plans
Kombat tool automatically identifies keyword overlaps and wasted spend
The base plan doesn’t come with unlimited downloads
Pricing
SpyFu offers three main plans, all of which come with ad intelligence and SEO reports.
The most affordable plan is $39 per month.
However, you’ll need to upgrade to a higher tier to get 10+ years of historical insights ($59-$249/month).
You’ll also see landing page insights, so you get intel on the complete customer journey.
See Which Landing Pages Are Actually Converting
Adbeat shows you which landing pages drive the most ad traffic. And how long each page has been live.
For example, Squarespace’s longest-running landing page has been active for 794 days.
That’s over two years.
When a page stays live that long, you know it’s consistently converting.
This intel helps you see which page layouts, offers, and messaging are worth replicating.
If you work for an agency and have multiple clients, this is particularly valuable. It’s a fast way to benchmark what “good” looks like in each vertical.
Reveal Media Buying Strategies and Publisher Insights
The Advertiser Dashboard breaks down where competitors allocate their budgets across channels, networks, and publishers.
You’ll also see share-of-voice data to understand their market presence.
For example, Adbeat found that Squarespace ran 524 ads in one month.
And 78% of their spend went to programmatic ads.
Details like this highlight which channels matter most in your niche. And where you can reallocate budget to get better performance for your own campaigns.
Benchmark Campaign Performance and Spot Trends
Adbeat’s ad intelligence software lets you monitor how your competitors’ budgets shift over time.
But what’s especially helpful is that they break it down by ad type: standard, native, and video.
For example, Squarespace’s longest-running video ad has been live for 413 days.
If they’ve kept it running that long, it’s a moneymaker.
In other words, it’s worth considering if you’re investing enough in video ads. And studying individual high performers for hooks, visuals, and offers.
Pros and Cons
Pros
Cons
Lets you analyze ads and landing pages together for complete funnel insights
Limited coverage of search and social campaigns
Reveals media spend, publisher performance, and traffic sources
Pricing is higher than ad-creative-only tools
Great for agencies, affiliate marketers, and display-heavy advertisers
Enterprise pricing is not publicly available
Pricing
Adbeat’s pricing starts at $249 per month for display, programmatic, and native ad intelligence.
For advanced filters, alerts, and historical data, you’ll need the higher plan ($399 per month).
There’s also an enterprise plan, but pricing isn’t listed publicly.
6. Pathmatics by Sensor Tower
Best for enterprise-level ad spend intelligence across mobile, social, and video
Pathmatics is built for large teams and big brands.
Household names like P&G and Unilever use this platform, so expect enterprise-level pricing and complexity.
But if you’re managing high-volume spend or reporting to leadership, it offers the transparency and benchmarking you can’t get from native tools.
Uncover Competitors’ Ad Spend Across Every Channel
Pathmatics shows you where every ad dollar goes in a pretty granular way.
It breaks down spend by platform, campaign, or creative — and tracks impressions, reach, and frequency over time.
Say you notice a competitor’s Instagram spend suddenly increased by a significant amount in a single week during Q4.
That signals a major campaign launch — possibly holiday shopping or Black Friday prep.
With this data, you can adjust your strategy immediately. And compete head-to-head with your main competitors.
Pathmatics also lets you benchmark your ad spend against multiple competitors at once.
If you’re investing $500K on display while your top three competitors each spend $2M+, you’ll see that gap.
Use this data to justify budget increases to leadership.
Or to identify where smaller reallocations could close the gap faster.
Benchmark Market Share and Share of Voice
Pathmatics tracks your share of voice against competitors in your industry and region.
If three brands dominate 80% of impressions in your category, you’ll see who owns what percentage.
This data helps you understand your position in the market.
Are you a distant fourth? Or neck-and-neck with the leader?
You can also identify which competitors dominate specific channels and spot opportunities where they’re underinvesting.
If the market leader owns Facebook but ignores TikTok, that’s your opening.
Evaluate Creatives That Resonate
Every ad includes details like format, placement, messaging, CTAs, and audience profiles.
See which creatives competitors keep running and which ones they kill after a few days.
Track the exact messaging and offers that stick around for months or years.
Use these insights to refine your own creative strategy.
Double down on formats that consistently deliver, and try localized messaging in new markets where your competitors are seeing success.
Pros and Cons
Pros
Cons
Provides cross-channel visibility across social, display, mobile, video, and OTT
Pricing is custom and can be expensive for smaller teams and startups
Combines creative data with detailed spend, reach, and audience insights
Steeper learning curve due to platform depth and data complexity
Ideal for enterprise-level teams, app publishers, and multi-channel marketers
Some users report data accuracy issues
Pricing
Pathmatics’ pricing is custom.
Request a quote if you’re interested.
Turn Competitive Intel into Campaign Wins
The right ad intelligence software isn’t the one with the most features.
It’s the one you can trust.
This means reliable data, less manual work, and the ability to scale campaigns across platforms with ease.
On a budget and focused mainly on Google Ads? Start with SpyFu.
Need deep, multi-site advertising intelligence across search and social with campaign execution built in?
Go for Semrush’s Advertising Toolkit.
Once you’ve picked your platform and gathered competitive intel, the next step is making sure your paid and organic strategies work together.
Learn how to align SEO and PPC to maximize visibility, reduce wasted spend, and improve your ROI.
The men’s fashion world has evolved into a thriving online marketplace, ranging from timeless tailoring and premium streetwear to sustainable basics and cutting-edge accessories.
For creators, bloggers, and influencers, joining the right affiliate program can turn style expertise into a consistent income stream.
But finding the perfect fit isn’t about volume; it’s about choosing brands that align with your audience’s lifestyle, values, and spending habits.
Whether your focus is minimalist menswear, high-end luxury, or casual everyday essentials, there’s a men’s fashion affiliate program tailored to your platform.
We’ve curated a list of the top men’s fashion affiliate programs to help you partner with reputable brands, earn steady commissions, and grow your content authentically.
What to Look for in a Men’s Fashion Affiliate Program
So, what separates a strong affiliate partnership from a forgettable one?
Competitive commission rates: Higher earnings per sale make all the difference in a market where product prices can vary widely.
Brand credibility: Collaborating with trusted, well-known names increases your audience’s confidence and boosts conversion rates.
Diverse product ranges: Programs that include apparel, footwear, accessories, and grooming essentials give affiliates more room for authentic promotion.
Long cookie durations and prompt payments: These ensure consistent, fair compensation for your promotional work.
Marketing materials and support: Access to high-quality visuals, data insights, and dedicated affiliate teams can help refine your strategy and maximize reach.
Top 9 Best Men’s Fashion Affiliate Programs
Mr Porter – Best for luxury menswear
ASOS – Best for trend-driven, affordable fashion
Mott & Bow – Best for premium denim
Nordstrom – Best for multi-brand variety
Huckberry – Best for outdoor and lifestyle fashion
Taylor Stitch – Best for sustainable craftsmanship
Farfetch – Best for global designer labels
Mizzen+Main – Best for performance dresswear
Allbirds – Best for eco-conscious footwear
#1 Mr Porter
Best for luxury menswear
Commission rate: 6% (3% for luxury watches and sale items)
Payment method: Affiliate network (Rakuten or Awin)
Mr Porter is a well-regarded luxury men’s fashion company, carrying over 500 high-end designer brands, including Tom Ford, Gucci, and Brunello Cucinelli.
High average order values mean that even with moderate commission rates, affiliates can earn substantial returns per sale.
The brand’s global recognition and trusted reputation among premium shoppers result in higher conversion rates among affluent audiences.
Affiliates benefit from frequent seasonal campaigns, curated gift guides, and professional marketing materials, making content creation easier and more refined.
Cons:
The 14-day cookie duration is shorter than average for luxury retailers, which may limit earning opportunities on delayed purchases.
The luxury price range appeals to a smaller, more selective audience, which can slow down conversions.
Additionally, Strict branding guidelines may restrict creative flexibility.
#2 ASOS
Best for trend-driven, affordable fashion
Commission rate: Up to 7% (depending on affiliate networks)
The brand’s minimalist aesthetic may not appeal to audiences favoring luxury or bold fashion.
Common Mistakes When Picking Affiliate Programs
Even in a booming industry like men’s fashion, not all programs deliver equal value.
Avoid joining affiliate networks with poor brand reputations or low-quality products, as they can harm your credibility.
Likewise, ultra-low commission rates may not justify your effort unless the brand offers high conversion rates or repeat customers.
Finally, check for transparent payment systems and clear reporting tools. Reliable data and timely payouts are essential for sustainable income.
Top Tips for Success in Men’s Fashion Affiliate Marketing
Promoting men’s fashion products effectively takes more than posting stylish photos. It’s about earning trust, demonstrating real value, and using smart digital marketing tactics to stand out in a crowded space.
Know your audience’s style preferences – Identify whether your followers lean toward luxury tailoring, streetwear, or casual essentials, then tailor your promotions accordingly.
Create content that adds value – Write comparison guides (“Best dress shirts for travel”), outfit breakdowns, or styling tutorials. Incorporate natural SEO keywords like “best men’s jeans for work” or “affordable minimalist sneakers”.
Use diverse content formats – Go beyond blogs and experiment with YouTube lookbooks, Instagram outfit posts, TikTok style reels, and Pinterest boards.
Be transparent and authentic –Disclose affiliate links and give honest feedback. Readers trust affiliates who recommend products they genuinely believe in.
Leverage SEO tools strategically – Use keyword tools (like Semrush) to identify trending searches, track rankings, and refine your fashion content strategy.
Pro Tip:
If you want to grow your men’s fashion affiliate revenue, combine SEO-driven blogging with visual storytelling on social media. The mix of authenticity, visibility, and consistency will turn your style influence into sustainable affiliate income.
Final Thoughts
The men’s fashion space is full of opportunity, from luxury designers to sustainable startups.
By partnering with the right affiliate programs, you can align your content with brands that reflect your audience’s identity and values.
Whether your strength lies in tailored elegance, modern streetwear, or timeless basics, these top affiliate programs can help you turn your style expertise into steady income, authentically and profitably.
