Model mentions occur when individuals speak about your organization on-line with out essentially linking to your web site.
They’ve all the time occurred on social media, boards, information websites, and blogs. However now they’re taking place in AI responses—and these mentions affect how hundreds of thousands of individuals uncover and understand your model.
Welcome to the brand new period of brand name point out monitoring.
Proper now, site visitors from AI assistants makes up solely a really small share of general web site visits—ChatGPT, the most popular one, accounts for just 0.21%. Nonetheless, there are no less than three good explanation why this small quantity issues.
AI suggestions attain hundreds of thousands
Folks flip to AI to unravel issues and to resolve what to purchase. If that AI recommends a competitor, you threat shedding prospects.
In July 2025, ChatGPT had greater than 700 million weekly customers world wide. If we focus simply on customers searching for how-to recommendation or merchandise to purchase, as stated by their usage report, meaning model suggestions may present up in conversations with no less than 74.2 million individuals each week.
A model point out doesn’t all the time imply somebody requested instantly for a particular model or product suggestion. Manufacturers can come up naturally, even when individuals are simply asking for how-to recommendation.
Practically half of individuals belief AI suggestions
A research by the University of Melbourne has proven that almost half of individuals belief AI. That half could also be satisfied by how the professional and tailor-made AI suggestions really feel. Simply share your necessities in a immediate, and the AI can scan dozens of web sites to search out the most suitable choice.
AI mentions stick round
Not like social posts that fade rapidly from feeds, model mentions on the open net can have long-lasting results. Your previous content material can keep listed and searchable for years.
What’s totally different with AI is that these mentions don’t simply stay quietly on-line—they will form how AI instruments speak about your model. That’s as a result of fashions pull from each historic coaching knowledge and recent net searches. So a single point out in the present day may preserve resurfacing in solutions months and even years from now.
For instance, Perplexity has constantly highlighted Ahrefs as the highest web optimization software program for greater than two months straight, exhibiting how repeated mentions can reinforce a model’s place inside AI-generated responses.
For those who’re pondering, “nice, one other factor for our social media supervisor to trace,” cease proper there. AI model point out monitoring is essentially totally different from the social media monitoring you already know, and it might even belong on another person’s plate.
Social media mentions are fleeting and unpredictable—they will spike in a single day after which fade simply as rapidly. Against this, AI mentions are extra steady. If ChatGPT highlights a competitor as an alternative of you, it’s not a couple of passing pattern; it displays the deeper, long-term indicators AI has discovered from authoritative content material over time.
And in contrast to social media, this isn’t one thing you possibly can reply to instantly.
That’s why monitoring AI is extra about technique than “firefighting”. You’re monitoring visibility traits, recognizing positioning gaps, and deciding what content material to create subsequent.
And since AI programs replace on their very own schedules—in case of AI assistants in Ahrefs’ Brand Radar, on a monthly basis—your monitoring should follow those cycles, making AI mention tracking more like competitive research than customer service.
To sum up:
| Aspect | Traditional brand monitoring (social media/forums) | AI brand mention monitoring |
|---|---|---|
| Owner | Social media managers, community managers | Content marketing, brand marketing, or SEO teams |
| Frequency | 24/7 monitoring with real-time alerts | Weekly visibility checks, monthly strategic reviews |
| Purpose | Crisis prevention, customer service, engagement | Market positioning, content strategy, competitive intelligence |
| Response | Direct replies, immediate damage control | Strategic content creation, PR, influencer marketing |
| Mindset | Reactive firefighting | Proactive market research |
Since AI mentions are invisible to commonest monitoring instruments, you want specialised monitoring. Search for instruments like Ahrefs’ Brand Radar with a large index of prompts and answers from different AI indexes, giving you broad visibility into how AI assistants understand and discuss your brand.
In the case of Brand Radar, that’s over 150M prompts in six AI indexes: AI Overviews, AI mode, ChatGPT, Perplexity, Copilot, and Gemini. Here’s how you can navigate that data.
Track the growth of brand mentions
You can track how your brand’s presence in AI changes over time, which makes it easier to see whether your marketing efforts are paying off.
It’s like measuring brand awareness, but within the AI space. You’ll notice spikes after a big campaign or product launch, and you’ll also be able to catch sudden drops that could point to an issue that needs attention.
In Brand Radar, simply enter your brand name along with any common variations, and you’ll know the number of mentions and their change in time right away.
See what topics AI tools associate with your brand
You can see which problems or topics naturally prompt AI systems to mention your brand. For example, your company might come up often in conversations about “sustainable packaging,” but be missing from discussions about “budget-friendly alternatives” where you’d want to appear. Insights like these show you where to focus your content strategy.
To get this data, open the Topics report on the right-hand side.
See how closely AI connects your brand to a topic or product category
If your brand spans multiple product categories, it’s important to track how often AI mentions you in each one.
For example, the Subaru car brand wants to be top-of-mind when it comes to SUVs and crossovers. If we put these categories next to their brand name in Brand Radar and add some competitors, we’ll see that they are slightly more often mentioned as the crossover brand.
And right below the bar charts, we can see a graph showing how their AI visibility changed in time compared to competitors:
Find out what AI says about your brand (and step in when needed)
You can fact-check how AI describes your brand and catch mistakes before they spread.
Sometimes AI gets simple details wrong, like your founding date, main products, or even your prices, while still citing your pricing page. Here’s a fresh example of AI citing the wrong prices.
By spotting these errors, you get clear problems to work on, whether that means reaching out to the AI companies directly or creating content that sets the record straight.
In the AI responses report, enter your brand in the filters like so:
Measure and track your AI share of voice
Think of this as your slice of the AI conversation pie. You can see what percentage of AI mentions in your industry actually go to you versus your competitors. It’s especially useful for tracking progress over time—are you gaining ground or losing it?
Enter your brand and your competitors. Your overall AI share of voice is the number at the top.
Below, you’ll get your share of voice in each of the six AI indexes.
Compare your AI visibility against competitors in specific topics
This goes deeper than the overall share of voice. You might find that your brand dominates AI mentions for “enterprise solutions” but barely shows up for “small business tools”, while a competitor has the opposite pattern.
Knowing your topic-specific strengths and gaps helps you refine your content strategy. For topics where you need to double down, you can secure more mentions on third-party sites (like product reviews) or create more of your own content (like how-to guides), or revise your own product marketing materials.
For example, when Monday.com launched its CRM feature, it was stepping into a bigger market with new competitors. Until then, the brand was mostly recognized for project management. Tracking their AI visibility showed how well they were breaking into this new space.
- Enter your brand and competitors.
- Go to the Topics report.
- Enter the topic in the Filter window.
Identify brand mention gaps where competitors get mentioned, but you don’t
For example, AI might regularly recommend your competitors for “integration with Slack” or “GDPR compliance,” while your brand never appears, even though you offer those features too. These gaps are immediate opportunities to create new content, optimize existing pages, or adjust your messaging so your brand gets included in those AI conversations.
Here’s how to spot pages that talk about your competitors but don’t mention you—perfect opportunities to pitch your solution.
- Enter your brand and competitors.
- Hover on your brand in the mentions graph section and click on “Others only”.
- Go to the Cited pages report.
- Repeat for each AI index.
Tip
Brand Radar also tracks your search demand and web visibility.
It taps into one of the largest keyword databases in the industry (28.7B keywords) and uses a bot that crawls the web more frequently than any other marketing tool (learn more about Ahrefs’ data).
Search demand and web visibility tell you:
- How often people search for your brand.
- How many search queries include your brand—and whether that number is growing.
- How many pages mention your brand, and how much visibility those pages get.
By the way, your search performance and web mentions directly shape how AI systems understand and represent your brand. Strong search demand and brand mentions usually lead to better AI visibility as well. That means you can approach AI brand building from multiple angles—improving search rankings, earning credible mentions, and seeing both drive stronger AI representation of your brand.
Manual AI monitoring (free but limited)
If you’re not ready for professional tools, start with manual checks. Spend some time each month asking different AI assistants questions related to your industry:
- “What are the best [your product category] tools?”
- “How do I choose between [your brand] and [competitor]?”
- “What should I know about [your industry] solutions?”
It’s a good idea to ask the same question a few times and see if you’re featured each time (take the average number, if not).
As you can imagine, this process is time-consuming, and you’ll still miss most AI mentions happening across thousands of daily conversations. But it can give you a basic sense of how AI currently represents your brand.
Right here’s a timeless reality: the easiest way to get individuals speaking about you is to create one thing they will’t ignore. If you ship an excellent product, provide standout service, or create an expertise individuals love, phrase spreads naturally. That buzz exhibits up in opinions, social posts, and articles.
All that momentum influences search engines like google and yahoo, too. Google tends to reward manufacturers which can be talked about usually, trusted broadly, and seen as related. And by extension, giant language fashions like ChatGPT lean on those self same indicators.
The most well-liked LLMs use a course of referred to as retrieval-augmented technology (RAG), which pulls in data from the net by search engines like google and yahoo. If Google already considers your model reliable and value rating, there’s a a lot increased likelihood those self same pages shall be surfaced by AI programs.
And whereas constructing an excellent services or products is the inspiration, there are a number of additional steps you possibly can take to get your model seen even extra.
1. Create complete model data: vs pages, faq, and so on.
AI assistants want clear, detailed details about who you might be, what you do, and why you’re totally different. Guarantee your web site clearly explains your worth proposition, use circumstances, and aggressive benefits.
Right here’s how Frequent Room did it:
- Cleaned up outdated high-authority content material, e.g., eliminated or redirected previous pages that also affect LLMs.
- Aligned exterior indicators, e.g., made positive third-party websites and channels replicate their new positioning.
- Eliminated irrelevant G2/LinkedIn classes and reorganized YouTube movies.
A good suggestion is to reply questions on your model fairly actually. You’ll be able to create devoted FAQ pages in your information base, like Venmo:
And to have a say in product comparisons, you are able to do with the great previous “vs” touchdown pages.
2. Get featured on different websites
Every time I verify the highest sources of mentions for a model, most of them come from different web sites. LLMs scan throughout these websites, searching for patterns and constructing confidence. So if a number of websites—particularly extra common websites—agree {that a} model is an efficient answer, the AI is more likely to echo that very same stance in its solutions.
As an example, none of our personal pages appeared within the prime 10 sources cited for our model.
Trade rankings, “better of” lists, opinions, PR protection, buyer suggestions, case research, and influencer partnerships can all improve the probabilities of AI mentioning your model. Listed below are two methods to prioritize the alternatives with the best impression:
- Run a point out hole evaluation in Model Radar, as I described above.
- Use Ahrefs’ Site Explorer to evaluate a site before pitching. Check its number of AI citations and review its Domain Rating (a measure of site authority).
3. Offer solutions via free tools and how-to guides
While analyzing Ahrefs’ AI visibility, I noticed a pattern: most mentions of our brand coming from our own content were tied to free tools and how-to guides. If you’re a tech company, especially SaaS, this approach could work for you too. It’s like in that earlier ChatGPT screenshot—when a tool is directly part of the solution to a problem, AI is likely to mention it.
Here are some of our free tools mentioned in AI Overviews:
As for the how-to content, like how to do keyword research or check your competitor traffic, these appeared on 20 to 28 of the top 50 pages in AI Mode, AI Overviews, and Copilot in our case.
So, how do you find proven ideas for free tools and how-tos?
- Use a tool like Ahrefs’ Keywords Explorer to find relevant topics with strong search demand (here’s how).
- Analyze your competitors’ content in Site Explorer to see which topics bring both traffic and AI visibility.
Tip
Don’t feel like you need to chase only the biggest topics with massive search demand. Not every niche has thousands of buyers waiting. If you see clear signs that your audience would truly benefit from a specific topic, it’s worth covering.
One unique thing about AI search is that people often use long, detailed prompts. These prompts are broken into numerous long-tail queries in a process called query fan-out. Which means you possibly can present up in entrance of the precise individuals with very particular, focused content material.
4. Improve presence on YouTube, Reddit and Quora
This can be a snapshot from Model Radar exhibiting the top-cited domains in all the six AI indexes it tracks. YouTube, Reddit and Quora are within the prime 5. It’s clear that AI strongly favors platforms constructed round user-generated content material.
Once we zoom in, we are able to discover that these numbers differ based mostly on the AI system. You’ll get excessive numbers throughout the board for YouTube and Reddit, whereas Quora can have a robust presence in Google’s AI Overviews, and much much less in different platforms (in comparison with different AI assistants).
To avoid wasting you hours of manually searching these platforms for subjects and threads, you should utilize a point out hole evaluation to search out locations to extend your presence in a single go.
- Enter your model and rivals.
- Hover in your model within the mentions graph part and click on on “Others solely”.
- Go to the Cited pages report.
- Set further filters for every platform, like within the screenshot under.
- Repeat for every AI index.
Moreover, for all three platforms, you possibly can search for subjects the place they already rank in AI Overviews and make higher content material, or be a part of the dialog; they don’t essentially want to say your rivals so long as they’re related to your corporation.
- Go to Website Explorer and enter youtube.com, reddit.com, or quora.com because the goal.
- Set SERP options filter to “Present embody goal in AI Overviews”.
- Set the key phrase filter to “Include [your topics]”.
Earlier than we wrap this up, I wish to ensure that one factor is obvious: “conventional” model point out monitoring continues to be vital. On the very least, arrange Google Alerts in your model title and commonly verify your social media platforms for point out notifications.
And in case your viewers is powerful on social media, you most likely received’t remorse investing in a device like Point out or Brand24. The premium options can actually are available in useful:
- Actual-time social media monitoring. Routinely scans all main platforms 24/7 as an alternative of handbook every day checks.
- Sentiment evaluation throughout platforms. AI routinely types mentions as optimistic, damaging, or impartial, so you possibly can rapidly prioritize pressing responses over celebratory posts.
- Influencer identification. Spots customers with excessive follower counts and engagement after they point out your model. Helps you prioritize responses.
- Disaster detection. Sends quick notifications when point out quantity spikes or damaging sentiment crosses thresholds.
- Reporting options. Makes it simpler to indicate what’s taking place to your boss, consumer or your staff.
By the way in which, when you’re an Ahrefs person, you possibly can arrange superior point out monitoring with the Alerts tool. For example, an alert for web mentions that include your competitors but not you, and at the same time come from a site with authority and considerable organic traffic.
Final thoughts
What I’ve covered here is one piece of the broader AI visibility puzzle. If you want to go further, these two guides make a great next step. They show you how to move beyond brand mentions to actual content citations, boost your chances of being referenced by LLMs, and connect it all back to traditional SEO strategies.
Got questions or comments? Let me know on LinkedIn.
