Free AI visibility tool

AI Brand Check

AI search engines describe your brand whether you optimize for them or not. Use this tool to test what they say, score the answer, and spot the missing signals that keep your brand from being cited accurately.

Brand Accuracy

Find out whether AI systems name your company correctly, place it in the right category, and avoid hallucinated details.

Competitor Positioning

See which competitors appear beside you, what advantages they get credited for, and whether your differentiators are missing.

Buyer Readiness

Test whether an AI answer gives a buyer enough reasons to trust you, contact you, or keep researching elsewhere.

3. Copy this and run it in ChatGPT, Claude, or Perplexity

In 3-5 sentences, describe what [your brand] does, who they serve, and what makes them different from competitors. If you don't know, say so.

How to Read the Score

A single AI answer is not a complete strategy, but it is a useful diagnostic. The score tells you whether the model has enough public evidence to describe your brand without inventing, omitting, or confusing important details.

Score 0-2

Weak AI visibility

The model is guessing, omitting you, or describing the wrong business. Start with entity clarity, service pages, About content, schema, and one strong authority hub.

Score 3-4

Mixed AI visibility

The model knows something about you, but the answer is partial. The next fixes are usually deeper content, proof points, internal links, and better source pages.

Score 5-6

Strong AI visibility

The model has a usable picture of your brand. The work shifts to defending that position with fresh content, public proof, and recurring prompt audits.

What Usually Fixes Weak AI Visibility

When an AI system is vague or wrong, the fix is usually not one magic file. It is clearer source material, better structure, and repeatable measurement.

  • Create a clear page that states what the brand does, who it serves, and why it is different.
  • Add or improve Organization, WebSite, Service, Article, and FAQ schema where it matches the page content.
  • Publish content that answers buyer questions directly instead of only describing services at a high level.
  • Use descriptive internal links so crawlers understand which page is the source for each topic.
  • Repeat the same prompt set monthly so movement is measured instead of guessed.

Frequently Asked Questions

What is an AI brand check?
An AI brand check is a lightweight audit of how AI systems describe a company. Instead of only checking whether a site ranks in Google, it asks ChatGPT, Claude, Perplexity, or another answer engine to explain the brand, compare it with alternatives, or recommend it to a buyer. The result shows whether the model understands the business, whether it names the right category, and whether it has enough proof to describe the brand confidently.
Is this the same as an AI SEO audit?
No. This tool is the first screen, not the full audit. A full AI SEO audit uses a larger prompt set, checks multiple models, records citations, reviews schema and crawl access, compares competitor mentions, and maps each weakness to a page or content fix. The free brand check is useful because it shows the problem quickly before deeper work starts.
Which AI systems should I test?
Start with ChatGPT, Claude, Perplexity, and Google AI Overviews or AI Mode when available for your query. Each system has different retrieval behavior, so one good answer does not prove the brand is visible everywhere. The important part is consistency: use the same prompt set each month and record whether the answer improves.
What should I do if the answer is wrong?
Treat the wrong answer as a signal gap. Improve the pages AI systems can crawl: homepage positioning, service pages, About page, schema, author or company proof, FAQs, case studies, and internal links. Then retest the same prompts after the site is recrawled. If the model is wrong because there is no reliable public source, publish the source.
Can Raptor AI run a full audit?
Yes. Raptor AI runs AI visibility audits that test buyer prompts, competitor mentions, citations, crawl access, schema, and page-level content gaps. The output is a prioritized plan for improving how AI systems describe and cite the brand.