how do AI models see your brand?
Run a free AI visibility check.

What is an AI visibility check?

An AI visibility check measures how often — and how accurately — AI assistants like ChatGPT and Google's AI Overviews name your brand when people ask questions in your category. Instead of reading a page of blue links, a buyer now asks an AI assistant "what's the best tool for this?" and acts on the answer. An AI visibility check reads that answer back to you: whether the model knows you exist, describes you correctly, recommends you, and cites your site.

It is the AI-search equivalent of a rank check. A rank check tells you where you sit on the results page. An AI visibility check tells you what the model says when your page never gets shown — because increasingly, the answer is the destination.

Why your AI visibility matters now

Search is splitting in two. One half still scrolls a results page. The other half reads a single AI-generated answer and stops — no page two, no ten blue links, just one answer, a short list of named brands and a handful of citations. If your brand is not in that answer, you are not in the consideration set, and you never find out why: there is no impression, no click, no line in your analytics. The gap stays invisible until you look for it. That is what a scan is for.

How the free AI visibility scan works

1. Tell us your brand and website. No account, no card, no access to your site required.
2. Confirm your email with one click — this is how your report reaches you.
3. We run the scan: 15 search-backed prompts — real questions from your category, not synthetic filler — put to ChatGPT and Google AI Overviews.
4. Your report lands in your inbox in about 10–15 minutes: a shareable page plus a PDF.

What's in your AI visibility report

Every scan is scored against the four layers BotScope uses to map AI visibility — the same framework behind the full product. Each layer fails differently, so each is measured on its own:

• Overall AI visibility score (0–100). One headline number for how present your brand is across the prompts we run.
• L1 — Entity Establishment. Does the model know you exist at all, or confuse you with another company?
• L2 — Entity Depth. When it names you, does it describe your category, product and positioning accurately — or work from a thin, outdated picture?
• L3 — Recommendation Visibility. When someone asks for the best option in your category, are you on the shortlist, or is it all competitors?
• L4 — Informational Citation. When the answer cites a source about you, is it your own site — or a competitor's blog treated as the authority?
• Competitor comparison. How your visibility stacks up against the rivals the models name alongside — or instead of — you.

How to read your AI visibility score

The 0–100 score is a starting reading, not a verdict — read the layers underneath it. A low score driven by L1 means the models barely register you: a presence problem. A healthy L1 but weak L3 means they know you but recommend others: a positioning problem. Weak L4 with strong L1–L3 means the models describe you using someone else's pages: a sourcing problem. Same score, three different fixes — the layer breakdown tells you which one you have.

How to improve your AI visibility

• Fix the foundation first. There is no point optimising recommendations (L3) if the model cannot reliably identify you (L1). Work the layers bottom-up.
• Be the primary source about yourself. Clear, current, factual pages about your own product give models something accurate to retrieve — and to cite (L4).
• Earn third-party corroboration. Models weight what independent sources say; reviews, listings and mentions shape L2 and L3.
• Re-scan and watch the layers move. AI answers shift as models and their sources update — one reading is a snapshot, not a trend.

For the longer version, our guide to GEO vs SEO covers what carries over from search optimisation and what does not, and our rundown of the best AI visibility tools shows where a one-off check sits next to continuous tracking.

A rank check tells you where you sit on the page. An AI visibility check tells you what the model says when there is no page.

Want more than a snapshot? The free scan reads ChatGPT and Google AI Overviews once. The full BotScope observatory tracks Claude, ChatGPT, Gemini and Perplexity continuously, so you watch the layers move week to week instead of guessing.

Frequently asked questions

Is the AI visibility checker really free?

Yes — one scan, one report, no account and no card. You give us a brand name, a website and an email; we send the report and the occasional product email, which you can unsubscribe from at any time.

Which AI platforms does the free scan check?

The free scan reads ChatGPT and Google AI Overviews — the two surfaces most buyers hit first. The full BotScope product extends this to Claude, Gemini and Perplexity, tracked continuously rather than as a one-off.

How is this different from checking my Google rankings?

A rank check measures your position on a results page. An AI visibility check measures whether the AI answer — shown above, or instead of, those results — names, recommends and cites you. A brand can rank well in classic search and still be absent from the AI answer for the same query.

Why might the scan differ from what I see asking ChatGPT myself?

AI models are non-deterministic: ask the same question twice and the wording shifts. A single manual prompt is one roll of the dice. The scan runs 15 structured, category-relevant prompts so your score reflects a pattern rather than a single lucky — or unlucky — answer.

Do I need to install anything or give access to my site?

No. The scan reads public AI answers about your brand from the outside. It needs nothing more than your brand name and domain — no tags, no plugins, no analytics access.

What's the difference between the free scan and ongoing tracking?

The scan is a one-off snapshot of where you stand today, across two surfaces. Ongoing tracking follows all four layers across every model over time, alerts you when your visibility moves, and benchmarks you against competitors continuously. Start with the scan; upgrade when you want the trend line.