Individuals flip to ChatGPT for researching, constructing instruments, and—sure—even shopping for.
However many manufacturers do not know what’s taking place inside ChatGPT. They’re exhibiting up in hundreds of responses with out understanding which queries point out them, what’s being mentioned, or how they stack up in opposition to the competitors.
You possibly can construct fundamental vibe-coded instruments to watch your ChatGPT visibility, however monitoring a small variety of prompts is like making an attempt to foretell the climate by looking of your window each as soon as in a whereas.
The truth is AI prompts, responses, and citations shift consistently. You want hundreds of information factors to chop by the variance if you wish to see precise developments.
There’s a simple repair. You possibly can observe your ChatGPT visibility throughout 13.5 million current prompts inside Ahrefs Model Radar database, and even arrange your individual customized queries to watch what issues most.
Listed here are seven steps for utilizing Model Radar to measure, monitor, and enhance your AI visibility.
Model Radar enables you to observe as much as ten rivals alongside your model to see precisely the way you stack up in ChatGPT responses.
Simply enter your rivals manually or hit “Counsel extra” for AI suggestions.
It’s vital so as to add your rivals’ domains or URLs in setup, if you wish to observe their web page visibility and citations in ChatGPT later down the line.
To refine your evaluation, you can too embrace title variations—that is particularly helpful when a competitor’s model title can also be a generally used phrase.
When you’re totally arrange, you’ll see side-by-side metrics for each model, together with:
- Mentions: The overall occasions every model seems in AI responses
- Citations: The variety of responses that cite the model URL no less than as soon as
- Impressions: Weighted mentions based mostly on search demand
- AI Share of Voice: The proportion of complete impressions vs. the competitors
From there, you’ll be able to run a competitor evaluation throughout the complete Model Radar database, or alternatively slender your focus by market or area of interest.
For instance, for Ahrefs we’d zero-in on the subject of “Backlinks”, because it’s certainly one of our core subjects and is closely embedded in our product.
For those who’re questioning: “Who’s extra seen in ChatGPT: me, or my greatest competitor?” you’ll find the reply, and even see the way it adjustments over time, with a report known as “AI Share of Voice” (AI SoV).
Right here’s the way to verify it:
- Enter your model title into the Model Radar dashboard
- Drop in your rivals, or hit “Counsel extra” for AI strategies
- Verify your AI Share of Voice proportion
- For a fair deeper breakdown, hit the AI Share of Voice tab
This reveals your model’s share of voice throughout the prompts almost certainly to be seen by actual customers.
That’s as a result of Model Radar focuses on popularity-weighted visibility—not simply whether or not you seem, however whether or not you seem the place it counts.
Sidenote.
Each immediate in Model Radar is seeded from search demand knowledge, which means every one comes with related impressions to provide you a clearer concept of matter reputation. You can too consider these impressions as immediate “volumes”. We observe on this method that can assist you prioritize the prompts which are almost certainly to matter.
You possibly can observe AI Share of Voice over time to see in case your content material technique, PR efforts, or brand-building actions are literally bettering your AI visibility.
Rising AI SoV means ChatGPT is recommending you extra usually. Declining AI SoV means you’re dropping floor.
Use this benchmark as your place to begin, then dig into the precise methods in the remainder of this information to grasp why your AI SoV is what it’s and how to enhance it.
You’ve seen which rivals are beating you (and which you’re beating)—now it’s time to trace the precise content material that’s incomes you visibility in AI search.
The goal is to work out what ChatGPT already “is aware of” about your model, and believes you to be an professional in.
Model Radar breaks down precisely which subjects you’re really useful for, which queries point out you most frequently, and which domains are accountable for your model getting talked about and cited.
Right here’s the way to discover your prime subjects:
- Navigate to the Matters tab
- Filter the AI platform by:
ChatGPT - Focus in your model subjects with the filter:
your model: talked about - View an inventory of the subjects most intently related along with your model in ChatGPT
This report offers you a short overview of the core subjects ChatGPT surfaces your model for, however for extra element, head to the AI responses report.
That is the place you’ll discover the precise prompts and solutions your model is included in.
Hitting “Present extra” ³ will allow you to view the precise response, so you’ll be able to perceive the context of your mentions.
As an example, under, Ahrefs is talked about in reply to the question “Which software is finest for competitor evaluation?” because of a advice from the location One Little Net.
Responses present you precisely what ChatGPT says about your model, so you’ll be able to spot outdated info, incorrect claims, or lacking options that want publicizing. Use this information to write down new articles that fill in info gaps, or replace previous articles to right something outdated.
And eventually, you’ll be able to audit your cited pages: the URLs which are almost certainly accountable for your mentions in ChatGPT responses—in our case, that’s a Wiki about “Google Search Console”, a Tech Radar assessment, and a Forbes software record.
A few of these pages will explicitly point out your model, and others will simply be cited within the AI responses alongside your model point out.
Deal with pages that don’t advocate you as an outreach goal, to strengthen your visibility in ChatGPT.
On this report, you can too see which of your web site pages get cited probably the most by ChatGPT, by including a area filter.
Because you management these pages, and also you already know they’re most well-liked sources, updating and optimizing them is the quickest option to fill gaps in what ChatGPT is aware of about your model.
Which brings me neatly on to the following step…
Essentially the most actionable factor you are able to do when monitoring your ChatGPT visibility is use subjects the place rivals get talked about however you don’t, then goal these gaps.
There’s a fast and simple method to do that in Model Radar straight from the dashboard.
Simply head to the ChatGPT “Mentions” bar chart and hover over your model, then click on “Others solely”.
This may immediately generate a number of filters within the AI responses report, exhibiting you the prompts, responses, and fan-out queries that exclude your model, however embrace your rivals.
Use this matter course to create new content material, optimize current posts, and reclaim a few of that market share out of your rivals.
Right here’s an instance of what I imply.
Just lately, I ran a spot evaluation for Ahrefs throughout a small variety of bottom-funnel customized prompts that we actually care about proper now.
I found we have been getting talked about in 42 ChatGPT responses whereas a competitor appeared in 66.
From that small point out hole, I used to be capable of finding out precisely the place we have been dropping floor and which subjects we would have liked to focus on to have a greater probability of closing that visibility hole.
By analyzing prompts and fan-outs within the AI responses report, I realized that our subjects gaps vary from professional endorsements (highlighted in yellow under) to ROI justification (inexperienced), and platform protection (orange).
In different phrases, we have to create extra decision-stage content material in clear codecs.
For instance:
- Skilled case research on how groups use Model Radar to behave on AI visibility (“How Hostinger good points visibility in AI and automates repetitive duties”).
- ROI and finances analysis guides (“What ROI really appears like for AI visibility monitoring”).
- And sensible, platform-specific blogs (“Monitoring model visibility throughout AI Mode: Our method”).
This may assist us present up extra usually in high-purchase-intent queries in ChatGPT.
And it’s not nearly “Point out” gaps. You can too observe the place your rivals are getting cited, however you aren’t.
Simply hit the Citations tab on the dashboard, hover, and click on “Others solely”.
From there you’ll see ChatGPT responses the place rival domains are cited, however you aren’t.
To get a whole image of your missed visibility, add an additional filter so that you’re conversations the place you’re neither cited nor talked about.
Then seize concepts from rivals’ pages to complement your individual content material—whether or not that’s including in authentic knowledge and statistics, bettering formatting and construction, decreasing time-to-insight, optimizing meta knowledge and snippets, or constructing out your protection throughout the subject on the entire.
Your AI visibility doesn’t exist in a vacuum. ChatGPT pulls from content material that’s already performing throughout the online, YouTube, Reddit, and different platforms.
Model Radar enables you to observe your model throughout all these channels in a single place, so you’ll be able to see how your broader visibility feeds into AI mentions.
Right here’s the way to analyze every channel:
Observe your YouTube visibility
YouTube is the second-largest search engine and the third most-cited supply by ChatGPT for model suggestions.
YouTube mentions additionally correlates most intently with model mentions in ChatGPT, in keeping with our personal analysis of 11 totally different AI brand visibility factors.
Meaning that when creators make videos about your product, ChatGPT may use that content as source material for recommendations.
Click into Video visibility > YouTube to see videos mentioning your brand.
You can cross-reference this data against the Cited pages report to see which videos containing mentions of your brand are also informing ChatGPT answers.
Look for patterns in what topics are covered and which creators mention you—then it’s just a case of producing and sponsoring more of that content.
Check your web visibility
According to our own research of 75,000 brands, branded web mentions have one of the strongest correlations with visibility in ChatGPT.
So, being able to see trends in both your web mentions and AI visibility can help you work out how your off-site efforts are impacting your ChatGPT performance.
Navigate to the Web visibility tab to view those trends, and see which exact pages mention your brand across the web.
There’s another easy way to spot when you’ve been mentioned by a page that’s cited in ChatGPT.
Just head to the Cited pages report and check out the “Mentions” column.
Whenever you spot your brand’s initials in green, it means that the URL in question has mentioned your brand name within the content of the page.
Tracking metrics like brand mentions can help prove how impactful your PR and brand awareness efforts are in driving ChatGPT visibility.
Track your search demand
Rising search volume for your brand is often a leading indicator of ChatGPT growth.
For example, here’s Canva’s ChatGPT visibility and branded search volume side-by-side.
While search volume is not as strongly correlated as brand mentions, there is still a clear positive relationship.
If your brand is searched for more often, it’s more likely to appear in search results—and that visibility can increase the chances of it being grounded in ChatGPT answers.
You can track your branded search demand trends and queries within Brand Radar in the Search demand tab.
Scan Reddit conversations
Reddit discussions are a goldmine for ChatGPT because they contain real user opinions and recommendations.
In fact, Reddit is ChatGPT’s #1 cited domain across 13.5M prompts, according to Brand Radar.
When someone asks “What’s the best SEO tool?” on Reddit and 15 people recommend Ahrefs, ChatGPT absorbs that consensus.
Navigate to SERP visibility > Reddit to see Reddit threads mentioning your brand.
Review high-traffic subreddits that mention your brand, gauge the sentiment of those discussions, and create a plan to address questions and guide the narrative without coming across as overly promotional.
Track TikTok mentions
TikTok might seem unrelated to AI search, but it’s increasingly influential.
Videos explaining how to use your product or comparing you to competitors help establish your category positioning—which ChatGPT then reflects.
Go to Video visibility > TikTok to see TikTok videos featuring your brand.
Model Radar offers you instantaneous visibility into hundreds of thousands of prompts throughout ChatGPT, however you’ll most likely wish to additionally monitor the queries that matter most to your online business by yourself schedule and throughout the platforms you care about.
Fortunately, customized immediate monitoring in Model Radar enables you to do precisely that. You possibly can observe the precise questions your prospects are asking, whether or not that’s “finest CRM for development firms” or “is [your product] price it in 2026.”
The secret is grouping associated queries collectively and analyzing mixture patterns. This offers you a dependable directional view of your model’s efficiency.
For instance, you’ll be able to cluster your customized prompts by intent, funnel stage, or product class.
Listed here are some extra concepts:
- Branded queries: To reality verify and spot misinformation patterns. (e.g. “Is Ahrefs knowledge correct?”)
- Backside of funnel queries: To know how the AI recommends your model throughout buy selections. (e.g. “Greatest search engine marketing software for a small company?”)
- Mid funnel queries: To know your skill to teach AI audiences. (e.g. “What’s key phrase problem and the way is it calculated?”)
- Function based mostly queries: To zero-in on conversations surrounding your focus merchandise, and perceive how higher to place and promote them. (e.g. “What are you able to do with Ahrefs Content material Hole software?”)
- Marketing campaign associated queries: To evaluate the affect of your PR and advertising and marketing efforts on ChatGPT visibility (“What’s Ahrefs’ AI model visibility correlation research about?”).
As one other instance, I’ve arrange a gaggle of 100+ BOFU customized prompts pertaining to the subject of “AI visibility instruments”, since that’s actively the place we’re making an attempt to develop our model consciousness proper now.
I did this by increasing a whole bunch of trending AI visibility key phrases (found in Ahrefs Key phrases Explorer) into fuller “prompt-like” queries.
To observe your individual customized ChatGPT prompts, simply choose a Venture and select your monitoring schedule—day by day for high-priority phrases, weekly for mid-priority queries, or month-to-month for model sentiment.
Then you’ll be able to choose which platforms, places, and rivals to watch.
And eventually, observe your progress.
Assume: which manufacturers are talked about most steadily on common, which of your individual pages are constantly cited, and the way does your visibility development over time?
This offers you actionable insights with out getting misplaced in response volatility.
When ChatGPT can’t confidently reply a query utilizing its coaching knowledge alone, it retrieves info from exterior sources corresponding to Google, in a course of often known as retrieval-augmented technology (RAG).
As a part of this course of, it generates “fan-out queries,” breaking a single query into a number of associated sub-queries to discover totally different angles and supply up a extra full reply.
For instance, if a person searches “What’s the finest web site internet hosting firm?” ChatGPT generates fan-out queries to higher discover two angles: current product evaluations, and have comparisons.
Many SEOs consider that constructing and optimizing content material clusters round fan-out queries is vital to AI visibility.
The difficulty is, fan-out queries are simply as changeable as prompts.
That’s why you could research numerous them in mixture, if you wish to establish recurring themes/subjects/angles to construct into your matter clusters.
Fortunately you’ll be able to observe hundreds of thousands of ChatGPT fan-out queries in Model Radar.
Simply head to the AI responses report, and look out for the Fan-out queries column.
Professional tip:
Replicate top-cited content material—then improve it with fan-out optimization
Head to the Cited pages report, and discover the most-cited URL in your class.
Copy it.
Then head again to the AI responses report and paste that URL into the filter field.
You’ll discover the entire prompts, responses, and fan-out queries wanted to both create or replace your individual model of that content material—and you’ll even spin out a number of cluster items from the fan-out subtopics you uncover.
This may stand you in higher stead to be cited by ChatGPT.
Right here’s your motion plan:
- Begin along with your benchmark. Verify your AI Share of Voice versus rivals throughout all queries in Model Radar—that is your baseline for measuring your general visibility in ChatGPT.
- Arrange complete monitoring. Create customized immediate monitoring in your most vital queries (branded searches, bottom-funnel phrases, and new product options) and schedule them to run day by day, weekly, or month-to-month.
- Observe in context of different channels: Periodically monitor the channels that feed into AI visibility: YouTube mentions, Reddit conversations, net citations, and branded search demand.
- Evaluate and act on gaps. Each month, run a aggressive hole evaluation to search out subjects the place rivals seem however you don’t. Examine the fan-out queries and cited pages in these responses, then create or replace content material clusters that deal with each the principle prompts and their associated subtopics.
- Observe the affect. Watch how your AI SoV developments upward—each on the class and database degree—as you publish optimized content material, earn citations throughout high-authority pages, and construct presence elsewhere on-line—proving that your cross-channel efforts are translating into ChatGPT visibility.
For those who’re curious the place you stand, get began with Model Radar.
