Ask ChatGPT “What’s the perfect (your product class)?” proper now. Does your model come up?
In the event you don’t know, that’s an issue. ChatGPT influences thousands and thousands of product selections each day—and in contrast to Google, it offers you zero impressions information, no Search Console, and no built-in analytics.
On this information, I’ll present you the way to monitor your model mentions in ChatGPT: from a free guide strategy you are able to do at present, to the devoted instruments that automate it, to what to really do with what you discover.
Engines like google offer you rating information. Social platforms present attain. Evaluation websites present scores.
ChatGPT offers you nothing.
And but, lots of of thousands and thousands of individuals use it for analysis, comparisons, and shopping for selections.
This isn’t conventional search, the place you possibly can monitor rankings and battle your technique to place one. There’s no outcomes web page to climb.
It’s additionally totally different from social listening. Social conversations play out in public, the place you possibly can monitor what’s being stated and leap in if it’s worthwhile to. ChatGPT conversations occur out of view, and also you’re not a part of the trade.
ChatGPT pulls from a mixture of coaching information and reside sources, then synthesizes a solution on the fly.
Whether or not your model will get talked about comes down as to if you’re meaningfully current within the sources it depends on.
That’s why monitoring ChatGPT mentions requires its personal technique.
Model mentions are when your model identify seems immediately in ChatGPT’s generated reply.
If somebody asks “Which software is greatest for Venture Administration?” and ChatGPT says “ClickUp and Asana are generally used for this,” these depend as inline model mentions.
They both come from ChatGPT’s coaching information—the massive physique of textual content it was educated on—or exterior sources like Google through a course of referred to as “Retrieval Augmented Era” or “RAG”. That is the place AI fashions actively search Google, Bing, and different engines like google to search out present info.
In case your model is well-represented in authoritative sources, business comparisons, and assessment content material, it’s extra prone to seem in ChatGPT solutions.
Model mentions should not the identical as citations
When ChatGPT solutions, it usually retrieves search sources and cites them in its response—linking to pages that again up its reply.
Citations should not model mentions. This distinction issues so much for technique.
The repair for lacking inline mentions is usually about increasing your model’s footprint in authoritative third-party content material: business roundups, comparability items, publications that feed LLM coaching information.
Fixing lacking citations appears to be like extra like conventional website positioning: hold content material up to date and crawlable, and publish clear, authoritative assets that front-load key insights so ChatGPT can floor your pages.
The quickest and most simple technique to assess your ChatGPT model presence prices nothing: simply open ChatGPT and ask questions.
The 2 issues it’s worthwhile to bear in mind: sign off and immediate in incognito mode.
In any other case, ChatGPT could personalize responses based mostly in your earlier chats, saved reminiscence, or customized directions.
You additionally have to ask the proper questions. Listed here are some concepts for immediate construction…
| Model-related prompts | Class prompts |
|---|---|
| What’s [Your brand] and what’s it used for? | What are the perfect instruments for [your category]? |
| What do folks take into consideration [Your brand]? | What ought to I search for in a [product/service type]? |
| How does [Your brand] examine to [Competitor A] and [Competitor B]? | Give me a shortlist of choices for [solving X problem]. |
You may also take inspiration from the DEJAN methodology, created by Dan Petrovic, the place you repeat the next two queries:
- Model-to-Entity prompts (B→E): “Listing ten issues that you simply affiliate with a model referred to as [Your brand].” This reveals the ideas and entities most strongly linked to the model.
- Entity-to-Model prompts (E→B): “Listing ten manufacturers that you simply affiliate with [Entity/Keyword].” This identifies rivals and divulges the manufacturers most strongly related to a particular idea.
When you’ve collected your responses, doc them systematically: Does your model seem in any respect? If it does, is the outline correct—proper options, proper pricing tier, proper positioning? Is the tone constructive, impartial, or barely unfavourable? And which rivals are talked about in conditions the place you’re not?
One tip: run these prompts with net search each on and off.
With it off, ChatGPT attracts from coaching information. With it on, real-time sources affect the output.
This can provide you meaningfully totally different outcomes—and realizing the distinction helps you perceive whether or not you’ve gotten a broader branding drawback (i.e. gaps or inaccuracies in coaching information), a content material drawback (i.e. gaps or inaccuracies in RAG information), or each.
For example, with search off, Ahrefs isn’t but acknowledged as an AI visibility software. However with search on, we are…
So we all know we’ve got some work to do on higher associating our model with “AI” matters and entities, earlier than ChatGPT’s core LLM definitively acknowledges Ahrefs as an AI visibility software.
This type of evaluation reveals you the way your model is represented, its strongest subject ties, and what the mannequin’s coaching information inherently “is aware of” about you, past what search outcomes add.
The drawbacks
The plain limitation right here is scale. You must intention to trace as many instances as doable throughout your chosen time interval.
ChatGPT responses aren’t deterministic—run the identical immediate twice and also you’ll get completely totally different solutions; wording, mentions, and citations are all in near-constant flux.
Which means the extra responses you accumulate, the extra dependable your common point out visibility will be.
However you possibly can’t simply run a quantity of prompts each week manually.
And with out scale, you don’t have sufficient information to identify patterns or measure progress over time.
Guide audits work greatest for setting an preliminary benchmark. Run them as soon as to know the place you stand, then use automated instruments for scaled, ongoing monitoring.
Right here’s the way to monitor when your model is talked about in ChatGPT—and see what’s influencing these mentions.
Monitor your model’s total visibility
Begin off by assessing your total efficiency towards all the Model Radar database.
Simply open Model Radar, enter your model identify and any rivals you need to benchmark towards, then save the report so you possibly can return to it later with out rebuilding filters.
Saving your report means you possibly can examine again periodically to measure your point out development.
Simply be sure to’re viewing mentions on the AI visibility chart, then choose the ChatGPT index.
This fashion, you possibly can see how your efficiency tendencies over time versus the competitors.
For example, within the chart above Similarweb (inexperienced) are sizzling on our (blue) heels.
They’ve grown their point out depend sharply because the begin of the yr.
To know whether or not this development was value replicating, I hovered over Similarweb’s ChatGPT mentions, and hit “Solely model”…
This let me zero-in on Similarweb’s efficiency within the AI Responses report; their efficiency had picked up within the final month.
I exported the prompts, responses, fan-out queries, and citations tied to their ChatGPT mentions on the day previous the point out spike, versus now.
Then, I fed this information to ChatGPT and requested “What sorts of prompts has Similarweb gained visibility for?”
Similarweb has began exhibiting up extra usually for market share and ecommerce matters.
These aren’t the form of queries we’re centered on proper now, so we wouldn’t look to reverse-engineer this technique.
When you’ve analyzed your visibility in context of all the Model Radar database, it’s time to dwelling in on the ChatGPT mentions which might be most vital to you.
Monitor particular ChatGPT mentions with customized prompts
Some mentions matter greater than others. Broad evaluation is vital, but it surely’s essential to watch the conversations that affect actual selections.
With customized prompts, you possibly can monitor the precise ChatGPT questions and mentions that tie on to your income, positioning, product notion, or campaigns.
Begin with a broad class, like “Backside of funnel” prompts and, inside that, outline distinct intent angles:
- Comparability question (e.g. “Ahrefs vs Semrush: which is healthier for key phrase analysis?”)
- Greatest-of question (e.g. “What’s the perfect website positioning software for small businesses?”)
- Value/worth question (e.g. “Is Ahrefs well worth the value in 2026?”)
- Use case question (e.g. “How can I take advantage of Ahrefs to search out low-competition key phrases?”)
- Persona-specific query (e.g. “What’s the perfect website positioning software for an in-house ecommerce staff?”)
- Objection (e.g. “Is Ahrefs too costly for a small enterprise?”)
Then write 3–5 phrasing variations for every of those angles. A single immediate per angle is just too depending on wording. Three begins to steadiness out phrasing variations. 5 normally signifies robust protection with out overdoing it. This helps to scale back wording bias and account for mannequin randomness.
In Model Radar, establishing customized prompts is straightforward. Simply select a venture, outline your cadence (each day, weekly, month-to-month), and choose the platforms, places, tags, and rivals you need included.
Then permit ~24 hours to populate responses and model point out information to your tracked ChatGPT prompts.
As soon as populated, your customized immediate outcomes present up within the native database dashboard.
From there, you possibly can examine your ChatGPT visibility over time and assess the pattern route; on the lookout for rising, flat, or declining mentions.
What you discover in monitoring ought to translate immediately into motion. The fitting transfer is dependent upon your state of affairs.
You probably have zero mentions
In case your model isn’t exhibiting up in AI responses, it probably isn’t well-represented within the content material sources ChatGPT trusts.
Right here’s the way to repair that:
- Construct content material clusters across the questions your viewers asks: ChatGPT makes use of a course of referred to as Reciprocal Rank Fusion (RRF) to prioritize the pages that present up repeatedly in search outcomes. Even when these pages are technically decrease rating, in the event that they present up extra usually, they’ll win visibility. Clusters make it easier to present up throughout a number of associated queries, which compounds that visibility and strengthens your odds of being cited.
- Outreach to the publications ChatGPT cites: Use Model Radar’s Cited Domains report to search out probably the most seen publications in your business, then develop content material partnerships with these websites, to construct your AI mentions.
- Actively generate critiques: Opinions don’t simply affect patrons; they grow to be a part of the coaching and quotation layer that informs ChatGPT responses.
- Make your model info clear: In your model or about web page, spell out what you do, who you’re for, and your core use circumstances in direct language. LLMs favor content material that makes direct, particular claims.
You probably have inaccurate mentions
Model inaccuracies in AI responses imply ChatGPT might be pulling from outdated content material—outdated pricing pages, discontinued options, or articles written about an earlier model of your product.
Right here’s what to do about that:
- Publish up to date content material that explicitly states the right info: Be particular: as an alternative of “our pricing has modified,” say “our Starter plan is now $49/month and consists of X, Y, Z.”
- Replace third-party sources the place doable: YouTube, Reddit, Wikipedia (if relevant), business directories—these are high-signal sources for LLMs and value preserving present.
- Account for mannequin replace cycles: As a result of ChatGPT has a data cutoff, some inaccuracies will section out as newer information will get integrated. As a substitute of pouring effort into one massive correction marketing campaign, prioritize regular content material updates that enhance accuracy over time.
If rivals are outranking you
To know why ChatGPT favors a competitor, examine the content material and context of their mentions in AI responses.
Simply head to the ChatGPT “Mentions” bar chart and hover over your model, then click on “Others solely”.
This may immediately generate a choice of filters within the AI responses report, exhibiting you the prompts, responses, and fan-out queries that exclude your model, however embody your rivals.
This offers you an understanding of which sorts of content material to create, and who to contact to spice up your personal mentions.
Normal ChatGPT visibility enhancements
Right here are some things that may assist no matter which state of affairs you’re in:
- Construction content material for extractability: Write in clear, direct prose with express definitions, use-case statements, and comparisons. LLMs favor content material the place claims are straightforward to isolate.
- Construct model mentions throughout numerous sources: A model talked about in 50 totally different publications is extra reliably surfaced by ChatGPT than one talked about 500 instances in its personal weblog.
- Arrange alerts to your model identify: In the event you configure an Ahrefs Alert you’ll get notified each time a brand new web page mentions you on-line—and that’s a link-building alternative. Incomes correct backlinks to these unlinked mentions strengthens your content material authority, which compounds throughout each search and AI citations over time.
- Observe visibility correlations: Notice if you publish content material, earn press, or push to assessment websites, then search for corresponding adjustments in monitoring information 4-8 weeks later. Over time, you’ll develop a way of which actions truly transfer the needle.
Closing ideas
Begin easy: run the guide immediate audit from the guide technique part this week, and doc what you discover.
That baseline tells you whether or not your fast drawback is consciousness (you’re invisible), accuracy (ChatGPT is describing you fallacious), or aggressive positioning (you’re current however getting outrun).
The instruments and motion plans solely grow to be significant as soon as which drawback you’re truly fixing.
Then you possibly can dive deeper, and monitor your ChatGPT mentions in a devoted AI monitoring software.
Received questions? Ping me on LinkedIn.
