AI Visibility Check

What the AI Visibility Check does

The tool asks ChatGPT, Google Gemini, and Anthropic Claude about your industry or topic in real time — the same way a user would — and tells you whether your brand or website is among the sources those models cite or mention. It returns the raw answer from each model so you can see the exact wording, which competitors were named instead, and which sources each AI pulled from.

Why AI visibility matters

Generative AI search is now part of the buyer journey. Google's AI Overviews, ChatGPT search, and Perplexity all synthesise answers from a shortlist of sources rather than returning ten blue links. When a prospect asks an AI about your category, one of two things happens: your brand gets named and you win trust, or a competitor gets named and you lose a comparison you didn't know was happening. Traditional SEO tools don't measure this — AI visibility is a separate surface and needs a separate check.

How it works

1. You enter a prompt — typically a question a real prospect might ask, like “best project management software for small teams” or “how do I find competitor backlinks”.
2. We send that prompt to ChatGPT, Gemini, and Claude in parallel.
3. Each model returns its answer. We display them side-by-side and highlight any mentions of your domain or brand name.
4. You see exactly which sources and competitors each AI cited, so you can pattern-match on who's winning the zero-click surface.

Who this tool is for

• Founders checking whether their brand is breaking through in AI search.
• SEO and GEO specialists benchmarking AI presence against traditional SERP rankings.
• Content marketers testing which prompts already surface their brand and which need more authority-building work.
• PR teams validating whether recent press coverage has fed into AI training data.

Frequently asked questions

How is AI visibility different from SEO rankings?

SEO rankings measure your position in Google's ten blue links. AI visibility measures whether LLMs name you when a user asks about your category. The two overlap but aren't identical — a site can rank #1 organically and be invisible in AI answers, or vice versa. AI models weight authority signals, citation density, clean structured data, and presence across Reddit, Wikipedia, and industry publications differently from Google's algorithm.

Why do the three models return different answers?

Different training cutoffs, different retrieval-augmented generation (RAG) pipelines, and different guardrails. ChatGPT uses Bing-backed search augmentation; Gemini uses Google's index; Claude uses a mix of direct knowledge and web retrieval. A brand that's strong on SEO often shows up in Gemini first; a brand with strong Reddit or Hacker News presence often shows up in ChatGPT first.

Will my brand appear if I just ask for it by name?

Usually yes — that's a trivial recall test. The real signal is whether you appear for category-level prompts where a user doesn't know your brand yet: “best [your category] tools”, “how to [job your product does]”, “alternatives to [competitor]”. Those are the prompts where winning AI visibility translates to new customers.

How do I improve my AI visibility?

Four levers that move the needle: publish an llms.txt file, add clean JSON-LD structured data for your organisation and products, pursue mentions on high-authority aggregator pages (comparison articles, industry round-ups, Wikipedia if you qualify), and ensure your content answers comparison and how-to queries directly in the first paragraph. MeasureBoard's GEO Optimization feature scores your readiness across all four.

Can I track AI visibility over time?

Free one-off checks tell you today's state. MeasureBoard's AI Rank Tracker runs your prompts weekly and charts mention frequency over time, so you can see whether changes to your content and structured data are moving AI visibility in the right direction. Sign up free to enable tracking.