AI Visibility Checker
When someone asks an AI assistant about your industry, does it know you? This asks a model what it knows about your brand, checks whether that’s accurate and current against your site, and gives you the GEO (Generative Engine Optimization) steps to get recognised and cited.
“Can’t I just ask ChatGPT myself?”
You can — and you should, for a gut check. But judging your AI visibility from one manual chat is like judging your Google rankings by searching your own name once, logged in. It tells you almost nothing. Here’s what a real check adds:
- One chat is one sample. Ask the same question twice and the answer changes — models are non-deterministic. Visibility is a rate(“named in 3 of 10 runs”), so a real check runs each prompt many times and reports the share, not a lucky single result.
- Your own account lies to you. When youask, the model may already know you from your history, login and location — so of course it’s flattering. A real check asks from clean, neutral sessions: the way an actual prospect sees you.
- Your buyers ask dozens of questions, on several engines.Not one prompt — the real buying questions across ChatGPT, Claude, Perplexity and Google’s AI Overviews, in your market. Nobody does that by hand every week.
- The value is the trend, not the snapshot.GEO work takes weeks to land. The point is watching “share of voice: 12% → 34%” after you fix things — which needs logged history you can’t reconstruct from memory.
- Who else got named — and what they cited.Every answer reveals your competitors and the sources the AI trusted. That’s your to-do list of where to get featured. Skimming a chat won’t capture it.
- You’ll know the moment you drop out — with an alert — instead of finding out when a deal is already lost.
The check above is your baseline — one honest snapshot. Turning it into weekly tracking across engines, with competitors and alerts, is where it becomes a real signal. Every week you’re not watching, a competitor is getting cited in your place.
Why AI visibility matters
Buyers increasingly ask ChatGPT, Claude, Perplexity and Google’s AI Overviews for recommendations instead of scrolling search results. If the models don’t know you — or know an outdated version of you — you’re left out of the answer entirely. GEO is the new SEO for this AI-mediated discovery.
How to improve it
Publish clear entity information (an Organization JSON-LD), a llms.txt, and make sure AI crawlers can read you — check that with the AI Readiness Checker. Third-party mentions (Wikipedia, reputable press, directories) are what build recognition over time.
Frequently asked questions
▸ ▾ How do you check if AI knows my brand?
We ask a language model what it knows about your domain from its training, then compare that to your live site to judge accuracy — and return a score plus GEO recommendations.
▸ ▾ Does being unknown to AI mean something is wrong?
Not necessarily. Newer or smaller brands are often absent from training data. That's exactly what Generative Engine Optimization (GEO) improves over time.
▸ ▾ Which AI does this reflect?
It reflects one model's training knowledge, clearly labelled — not a live crawl of every engine. Treat it as a directional signal, not an absolute across all AIs.