Does AI mention your brand?

How to check your AI visibility for free

There are two free ways, and they answer different questions. Asking an assistant yourself shows you one answer to one prompt. A checker like this one counts mentions across a large set of real AI answers, which is the closer measure of how often buyers actually hear your name.

Do both. The manual check shows you how AI describes you; the count shows you how often it happens.

1. 1Write down four or five questions a buyer asks before choosing a product like yours, e.g. “best CRM for a small team”
2. 2Open a fresh ChatGPT chat with memory off, and ask each one in its own conversation
3. 3Note who gets named, in what order, and which sources the answer links to
4. 4Repeat in Gemini, Perplexity and Google’s AI Mode, since each engine answers differently
5. 5Type your brand into the checker above for the mention count, the engine split and the cited domains
6. 6Run the same brand names for two or three competitors to see where you stand

Every number in your result, explained

The result reads one brand name against a database of ChatGPT and Google AI answers, for the United States in English.

AI mentions

How many AI answers in the data name the brand. It is the total of the two engine rows below it.

ChatGPT and Google AI

The same count split by engine. A big gap between them is worth acting on: each engine draws on different sources, so being strong in one says little about the other.

Sources AI cites

Up to six of the domains cited in the answers that mention the brand, each with its own count. Your own domain belongs on this list; if it is missing, AI is learning about you from other people’s pages.

Named alongside you

Up to six other brands that appear in the same answers. These are usually your competitors as AI sees them, and sometimes partners or the platforms you integrate with.

Cached result

Someone checked this brand in the last 3 days, so you are seeing that check rather than a new one.

Mentions, citations and share of voice

Three terms come up in every conversation about AI search, and they measure different things.

Mention

The answer names your brand in its text. This is what a buyer reads, and what this checker counts.

Citation

The answer links to a page as a source. A citation to your own site sends traffic; a citation to a review site that praises you shapes the answer without a click.

Share of voice

Your mentions as a share of all the brand mentions in your category’s answers. It needs a fixed set of prompts and competitors tracked over time, which is what a prompt tracker does and a one-off check can’t.

Why AI visibility matters now

More and more buyers open ChatGPT or Gemini before they ever open Google. They ask a plain question, “best CRM for a small team?”, and act on the two or three brands the assistant names. If you’re not one of them, you never enter the conversation, no matter where you rank on Google.

That makes AI visibility its own channel. You can be page-one on Google and still be invisible in the answer a buyer actually reads.

What actually drives it

AI assistants tend to recommend brands that do three things well. First, they answer the question clearly and directly, so the model can lift a confident sentence. Second, they’re mentioned and cited across sources the model trusts: comparison posts, reviews, Reddit threads, YouTube. Third, they cover the whole topic, not a single keyword, so they come up across many related questions.

How to improve it

Improving AI visibility looks a lot like earning a great reputation. Publish content that answers the real buying questions in your category, in language that’s easy to quote. Make sure the sources AI leans on (roundups, review sites, communities) actually mention you. Then track the specific prompts you want to win, and close the gaps wherever a competitor gets named instead of you.

1. 1Publish answer-first content for the questions buyers actually ask
2. 2Structure it to be quotable: clear headings, tight definitions, an FAQ
3. 3Earn mentions on the roundups, reviews and communities AI cites
4. 4Cover the full topic cluster, not one keyword
5. 5Track the prompts you want to win and fix the ones you’re losing

Why AI isn’t mentioning your brand

When a brand gets few or no mentions, the cause is almost always one of these. Work down the list, because the first ones are the quickest to fix.

AI crawlers are blocked

Check your robots.txt and any firewall bot rules. OAI-SearchBot and GPTBot (OpenAI), ClaudeBot (Anthropic) and PerplexityBot need access to read and cite your pages. Google AI Overviews and AI Mode use the regular Googlebot, while Google-Extended controls whether Gemini may use your content.

Your site never says plainly what you are

If the homepage and About page don’t state your category and who you serve in one clear sentence, a model has nothing confident to repeat. Organization schema and consistent descriptions on your social and review profiles help it connect the dots.

No pages answer the questions buyers ask

AI quotes passages, not whole sites. Comparison pages, “best X for Y” guides and clear pricing and feature pages give it something to lift. A product page that only says “the all-in-one platform” gives it nothing.

Few third-party sources mention you

Assistants lean on what others say: roundups, review sites, forums and news. The sources list in your result shows which of those sites already shape answers in your space.

You don’t rank in regular search

Engines that search the web at answer time pick from pages that already rank. Weak organic rankings usually mean weak AI visibility too, which is why AEO starts with SEO.

A checker versus a tracker

A free checker gives you a snapshot: one reading of how often AI mentions a brand right now. That is enough to know whether you have a problem, and how big it is next to your competitors.

A tracker runs a fixed set of prompts against each engine on a schedule and records the answers, so you can see the trend, your share of voice and the exact questions you are losing. Use the checker to decide whether it is worth tracking; use a tracker once you are actively working on it, because AI answers move with every model update.