How to Find Out What Claude Knows About Your Company

How to Find Out What Claude Knows About Your Company

By Stas Levitan · · 6 min read

Updated June 2026 · By Stas Levitan, CEO & Founder, LightSite AI

For years, companies tracked how they appeared in Google. Today, a new question matters just as much:

What does Claude know about your company?

As AI assistants become part of how people research products, compare vendors, and make purchasing decisions, your company's visibility is no longer limited to search engines. Potential customers are asking Claude questions like:

  • Which AI SEO tools are best for startups?
  • Who are the leading providers in the GEO category?
  • What does this company actually do, and who founded it?
  • How does this product compare to its competitors?

If Claude does not have a clear understanding of your business, you are quietly losing visibility in conversations that influence buying decisions. The good news: you can find out exactly what Claude knows about your company today, and you can fix the gaps.

Why Claude's Knowledge of Your Company Matters

Claude, like other large language models, builds an internal representation of your brand from publicly available information: your website, third-party reviews, news mentions, podcast appearances, comparison articles, social profiles, and structured data. When someone asks Claude about your category, the model draws on this representation to decide whether to mention you, what to say, and how to position you next to competitors.

Three things follow from this:

  • If Claude has weak or outdated information, it will recommend competitors with stronger signals.
  • If Claude has wrong information, it will repeat the same error to thousands of users.
  • If Claude has no information at all, you are invisible in a growing share of buyer research.

Step 1: Ask Claude Directly

The fastest way to start is to open Claude and ask the questions your customers would ask. Use a mix of brand-specific and category-level prompts:

  • "What do you know about [Your Company Name]?"
  • "Who founded [Your Company Name] and what does it do?"
  • "What are the top tools for [your category] in 2026?"
  • "Compare [Your Company] to [Top Competitor]."
  • "What problems does [Your Company] solve, and who is it for?"

Run each prompt a few times. Claude's answers vary slightly between sessions, and you want to see the range of responses rather than a single snapshot.

Pay attention to four things in every answer:

  • Accuracy. Are the facts about your product, founders, and category correct?
  • Completeness. Does Claude know what you actually do, or only a shallow version of it?
  • Positioning. Does Claude describe you the way you want to be described, or the way a casual reader might have summarized you years ago?
  • Competitive context. When Claude lists category leaders, are you on the list? If not, who is, and why?

Step 2: Look for the Source Signals Behind the Answer

Claude's answer is the symptom. The signals that produced it live across the open web. After your manual prompts, audit the most influential surfaces:

  • Your own website. Is your homepage and About page clear about what you do, who you serve, and what makes you different? Is there structured data describing your organization, founders, and products?
  • Third-party listings. Are you present and accurate on directories, review sites, and "best of" lists in your category?
  • Editorial coverage. Have credible publications mentioned you in the last 12-18 months?
  • Comparison content. Do you appear in "X vs Y" articles your buyers actually read?
  • Founder and team entities. Are your founders discoverable with consistent bios across LinkedIn, your site, and editorial sources?

If Claude's answer is thin, the source layer is almost always the reason. A free AI search visibility test can give you a structured snapshot of where your brand stands across ChatGPT, Claude, Perplexity, and Gemini before you start fixing anything.

Step 3: Map the Gaps to Fix

Turn your findings into a short list of concrete gaps. The common patterns we see:

  • Stale positioning. Claude describes a previous version of your company. Fix the homepage, About page, and the most-cited third-party profiles first.
  • Missing category presence. Claude knows you exist but does not associate you with your category. Invest in category-defining content and inclusion in "best of" coverage.
  • Weak entity signals. Claude is unsure about founders, products, or relationships. Add structured data and tighten the entity graph across your owned surfaces.
  • Wrong facts. Claude repeats incorrect information from an outdated article. Publish a clear, authoritative correction on your own site and seek updates from the source.

Step 4: Monitor and Improve Continuously

Manual audits provide useful insights, but they only capture a moment in time. As AI systems evolve, businesses need ongoing visibility into how platforms like Claude, ChatGPT, Perplexity, and Gemini understand their brand, products, and category.

LightSite helps companies identify AI visibility gaps, strengthen entity signals, and execute the technical and content improvements that improve discoverability across AI search. If you want to see what Claude and other assistants actually say about you today, start with our AI visibility research and free diagnostic tools.