Does AI understand your website? A free check gives the answer

More and more people no longer search, they ask. “Who does XY in Berlin?”, “Which agency is good for Z?” The answer comes from ChatGPT, Gemini or Perplexity, and it is built from what the AI finds and understands about you. If your website is unclear to AI, you get misrepresented, or you don’t appear at all.

That is exactly why I built klarava: a free check that shows how well an AI understands your website and tells you concretely what is missing.

The problem: AI reads differently than a human

A person skims a nicely designed homepage and grasps the point in seconds. An AI instead looks for clear statements: Who are you? What do you offer? For whom? Why you and not a competitor? If that isn’t stated unambiguously, the model guesses, and guessing often goes wrong.

This isn’t a design problem but one of clarity and structure. A site can look great and still be hard for AI to read.

What klarava checks

klarava fetches the key pages of your website and scores six dimensions: identity, offering, audience, differentiation, proof and structure (machine-readability such as Schema.org, hreflang or an llms.txt). On top of that it checks verifiable technical signals, not just the impression.

The most revealing part is often a paragraph titled “How AI currently sees you”. That tends to be the moment it clicks, because you read in black and white how incomplete the picture is that an AI currently holds of you.

From diagnosis to solution

A diagnosis alone changes nothing. So on request klarava generates a full report with ready-to-use building blocks: a clear AI profile, FAQ copy, a ready-made llms.txt and a prioritised action briefing. Things your developer can drop in within minutes.

The check and the report are free. You only give your email, then the report arrives automatically.

How this relates to llms.txt and OKF

The technical core is related to an idea I’ve written about before: making content agent-readable. If you store your key statements cleanly and structured, AI picks them up correctly instead of guessing. More on that in Open Knowledge Format explained.

My take

AI systems are increasingly the first place people ask. Whether you show up correctly there depends on whether the AI understands you, and that can be measured and improved. As so often: starting small and early beats the big project later.

Try the check on your own site: klarava.app. If you’d like to make sense of the result together, get in touch.