AI Brand Tracker

ChatGPT Visibility Tracker

Track your brand visibility in ChatGPT

ChatGPT is used by 200M+ users weekly. Know exactly how often it recommends your brand, and what you can do to appear more.

OpenAI

ChatGPT handles over 1 billion queries per day. Brands not tracked here are flying blind.

Estimated market share: ~55% of AI searches

A ChatGPT visibility tracker measures how often — and in what context — your brand appears in ChatGPT's answers. ChatGPT processes over a billion messages a day across 200M+ weekly users, and a growing share of those are buying-intent questions: "best CRM for startups", "alternatives to X", "which tool should I use for Y". When ChatGPT answers, it names a handful of brands. If yours is not in that shortlist, you are invisible to the fastest-growing discovery channel on the web — and unlike Google, there is no SERP to audit. Mentova gives you that missing SERP for ChatGPT.

Mentova works by sending your real category prompts to ChatGPT (GPT-4o and GPT-4o mini) on a schedule, capturing every brand named in each response, and computing your mention rate and share of voice against the competitors ChatGPT cites alongside you. You see exactly which prompts surface your brand, which surface competitors instead, and how that mix moves week over week. Because GPT-4o and GPT-4o mini draw on different training and retrieval, Mentova tracks each model separately — your visibility can differ sharply between them.

Tracking is only step one. For every prompt where ChatGPT recommends a competitor but not you, Mentova identifies the sources behind that recommendation — the review sites, forums, directories and articles ChatGPT leans on — and turns each gap into a prioritized opportunity with the content needed to close it. That is the loop: measure your ChatGPT visibility, find the gaps, publish where ChatGPT looks, and watch your mention rate climb.

Why track your brand in ChatGPT?

  • ChatGPT is the most used AI assistant in the world — missing from it means missing from most AI conversations

  • GPT-4o has different training data than GPT-3.5 — your visibility may vary significantly between versions

  • ChatGPT users have high purchase intent — they ask for product recommendations, comparisons, and reviews

  • Competitors are already optimizing for ChatGPT — tracking lets you see exactly where you stand

How Mentova tracks your brand in ChatGPT

Send prompts

Mentova sends topic-specific prompts to ChatGPT on your behalf.

Extract mentions

We capture every brand mention in each response and compute your mention rate.

Track over time

Monitor your AI share of voice trend and get alerts when it changes significantly.

Use cases

Brand monitoringCompetitive intelligenceContent strategyProduct positioning

ChatGPT visibility tracking — FAQ

How do I track my brand's visibility in ChatGPT?

Add your brand and the topics your customers ask about, then Mentova sends those prompts to ChatGPT (GPT-4o and GPT-4o mini) and records every brand mentioned in each answer. You get a mention rate, a share-of-voice score versus competitors, and a trend over time — refreshed automatically on the schedule you choose. No prompting or copy-pasting by hand.

Why is my brand not mentioned in ChatGPT?

ChatGPT recommends brands it has seen described consistently across the sources it trusts — review sites, forums like Reddit, comparison articles, directories and authoritative coverage. If competitors appear and you don't, it usually means they have stronger presence on those sources. Mentova pinpoints which sources drive each recommendation so you know exactly where to build presence.

Does Mentova track both GPT-4o and GPT-4o mini?

Yes. Each model is tracked as a separate channel because they can recommend different brands for the same question. You see your mention rate per model, so you can tell whether a visibility gap is specific to one version of ChatGPT or consistent across both.

How often is ChatGPT visibility updated?

As often as your plan allows — daily, weekly, bi-weekly or monthly. ChatGPT's answers shift as the model and its sources update, so regular tracking is what turns a one-time snapshot into a trend you can act on and alert against.

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