How to Track Brand Mentions in ChatGPT, Gemini and Claude

5 days ago
6 min read

This guide was produced by AI, TELL ME!, a Berlin-based AEO and GEO agency with its own AI search monitoring platform.

Summary

Ask ChatGPT, Gemini and Claude the same question about your category and there is a good chance you get three different answers, because each system sources what it knows in a different way, which is exactly what makes a single-platform check unreliable for anyone serious about AEO monitoring. This one walks through how each of the three pulls in information about brands, from ChatGPT's reliance on Bing and Wikipedia through to Claude's habit of answering from memory rather than browsing at all, and lays out what a working process for tracking mentions across all three looks like in practice. It covers the difference between being mentioned and being cited, why that distinction shifts depending on which model is doing the answering, and where manual spot-checks stop being enough.

Most teams that start tracking their AI presence begin with one tool: type a question into ChatGPT, see what comes back, repeat occasionally. It tells you almost nothing about Gemini or Claude, both of which draw on different source pools and behave nothing like ChatGPT when asked about a brand. Building a proper habit of AEO monitoring, the discipline of LLM brand monitoring at its core, means treating the three as separate systems that happen to answer similar questions, not as one interchangeable AI search channel.

Why ChatGPT, Gemini and Claude Can't Be Tracked the Same Way

The audiences alone are not equivalent. Pew Research Center's June 2026 survey of American adults found that 49% now use an AI chatbot, up sharply over two years, but usage splits unevenly: 44% use ChatGPT, 24% use Gemini and only 6% use Claude. Tracking only one of these systems means missing most of the picture for the other two, and the gap widens once each model's own sourcing habits enter the picture. A brand can be well represented on one platform and functionally invisible on another, for reasons that have nothing to do with how good it is.

How Each Platform Sources Brand Mentions

Tracking brand mentions in AI starts with knowing what each system draws on when it answers. A 2026 synthesis by 5W, an independent research agency, based on more than 680 million tracked citations, sets out how differently the three major LLMs (large language models) behave.

ChatGPT

When browsing is switched on, ChatGPT queries the Bing index and pulls in three to ten sources per answer. Wikipedia dominates that pool: the 5W analysis found it accounts for close to 48% of ChatGPT's top ten source share. For anyone doing ChatGPT brand tracking, the same research found ChatGPT mentions a brand by name roughly 3.2 times more often than it links to it, so a brand can appear constantly in ChatGPT's answers without a single appearance counting as a citation.

Gemini

Gemini's sourcing tracks closely with Google's own AI Overviews rather than running an independent index, leaning on LinkedIn, Medium, Quora, Reddit and Wikipedia. For Gemini brand tracking, that means visibility often correlates with how a brand performs on those specific platforms rather than its own website, which makes off-site presence a bigger lever than on-site content alone.

Claude

Claude is the most conservative of the three. By default it answers from parametric knowledge, meaning whatever it learned during training, and does not browse the live web unless a tool is explicitly enabled. Anthropic's Citations API, introduced to cut down on invented references, reduced source hallucination from around 10% to close to zero in early testing and increased references per response by roughly 20%. Claude brand tracking rewards a strong, well-documented public record over freshly published content, since there is often no live retrieval step for Claude to draw new material from.

Platform	Default retrieval	Typical top sources	Mention vs citation pattern
ChatGPT	Browses the Bing index when enabled	Wikipedia, Reddit, PR Newswire, Forbes	Names a brand far more often than it links to it
Gemini	Mirrors Google's AI Overviews	LinkedIn, Medium, Quora, Reddit, Wikipedia	Broadly follows Google's own citation pattern
Claude	Answers from training data unless a tool is enabled	Whatever was well documented at training cutoff	Rarely cites unless the Citations API or a browsing tool is active

Building a Process to Track Brand Mentions in AI

A workable process does not need to be complicated, but it does need to run the same way every time.

Build one prompt set based on how buyers ask about the category, covering category, comparison and problem-first questions rather than branded searches alone.
Run every prompt across all three platforms on the same day, since checking only ChatGPT or only Gemini gives a partial and potentially misleading picture.
Record whether the brand is mentioned, cited with a link, or absent entirely, treating these as three distinct outcomes rather than one pass or fail result.
Note which third-party sources appear alongside the brand on each platform, because that list points directly at where earned coverage is thin.
Repeat on a fixed schedule and compare against the previous run rather than treating any single check as a verdict.

Teams wanting more detail on prompt design can look at how to check if ChatGPT recommends your brand, which covers this for a single platform in more depth than is needed here.

Turning Manual Checks Into Ongoing AEO Monitoring

A spreadsheet-based version of the process above works for a first pass, but it breaks down at scale. LLM outputs are probabilistic rather than fixed, so a single run on a single day tells you what happened that day, not what typically happens. Multiply that by three platforms with three different sourcing behaviours and the manual version becomes a standing weekly task most marketing teams do not have the bandwidth to sustain.

This is where AEO monitoring as a structured practice takes over from ad hoc checking. What does AEO monitoring measure covers the metrics worth tracking once a process is running, and what is AEO monitoring and how does it work sets out the two-stage model behind it: what LLMs currently say about a brand, then why. AI, TELL ME!'s own platform runs configured prompt sets across ChatGPT, Claude and Gemini on a set cadence, effectively the structured version of the process above, minus the part where someone has to remember to do it.

FAQ

Can I track brand mentions in ChatGPT, Gemini and Claude for free?

Yes, by running prompts on each platform manually and logging the results. The limit is consistency: LLM answers vary between runs, so a handful of manual checks give a rough read rather than a reliable trend.

Do I need a different prompt set for each platform?

The core prompts can stay the same across all three. What changes is interpretation: a weak result on Gemini often points to thin coverage on community platforms, while a weak result on Claude may mean the brand was not well documented at training cutoff.

What's the difference between a brand mention and a citation?

A mention is the brand being named in the answer. A citation is the brand being named with a source link attached. ChatGPT's pattern of naming brands roughly 3.2 times more often than it links to them shows why the two should be tracked separately.

Does Claude browse the web when I ask about a brand?

Not by default. Claude answers from its training data unless a browsing tool or the Citations API is explicitly enabled, which is why its answers tend to lag behind recent changes to a brand's public presence.

How often should this run?

Weekly is a reasonable baseline for competitive categories, since AI systems update their outputs continuously. Less competitive categories can start monthly and tighten the cadence once a baseline exists.

Start Tracking Your Brand Across ChatGPT, Gemini and Claude

Manual checks are a reasonable place to start, but brands with a firm handle on their AI presence treat AI visibility tracking as a standing process rather than an occasional glance. Run a free AEO Monitoring check at aipleasetellme.com to see how your brand appears across the LLMs your audience uses.

If you want to see how AI currently describes your financial products and where the gaps sit, run a free AEO Monitoring check at aipleasetellme.com.