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Your startup barely exists in ChatGPT’s answers. That’s why I built LLM Scan

A few weeks ago I asked ChatGPT to describe a SaaS tool I know well. It got the positioning half-right, listed a feature the product dropped a year ago, and completely missed the main use case.

That product has a nice website. Good design, clear copy, decent SEO. But the information was structured in a way that made it hard for an AI to pull out the key facts cleanly.

This is increasingly a real problem.

When someone asks Perplexity "what's the best tool for X" or asks Claude to compare options before buying, your website isn't just being read by humans and Google anymore. It's being interpreted by systems that need to extract what you do, who you serve, and whether you're worth mentioning, from whatever public information they can find.

If that information is vague, inconsistent, or buried, the summary they produce reflects that.

For a human visitor, vague copy is annoying. For an AI assistant, it often means a weak description, a wrong detail, or no mention at all.

I've been building LLM Scan around this. You paste in a URL and get a plain-English report on how readable your site is for AI systems. Not "here's how to rank in ChatGPT" (nobody can promise that honestly). More like: here's what's unclear, here's what's missing, here's what a machine would struggle to understand about your business.

The fixes are usually not complicated. Explicit use cases on the homepage. Consistent product naming. Pricing and docs that are actually findable. Clear headings instead of clever-but-vague marketing copy.

Basic stuff. But easy to skip when you're moving fast.

Most founders haven't tried asking ChatGPT or Perplexity to describe their own product yet. Worth doing before someone else's inaccurate summary becomes the default answer.

Scan your site here: https://www.llmscan.dev
Curious to hear your feedback and what results you get.

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LLM Scan