Lagotto Meter

Lagotto Meter is a free auditing tool that measures the gap between what a website claims and what AI agents actually find when they crawl it. If you've built a company site full of capability statements but haven't backed them up with published articles, case studies, or structured data, this tool will surface that mismatch before an AI search engine does.

The problem it addresses is increasingly relevant. Large language models and AI assistants are scraping the web to answer user questions, and they don't give much weight to self-referential marketing copy. They look for evidence, and evidence means documentation, structured markup, and machine-readable files that signal transparency. A site that passes the traditional SEO checklist might still look thin to an agent looking for substance.

The tool works by checking three things. First, it looks for llms.txt and llms-full.txt files, a newer convention for declaring structured information that AI crawlers can parse directly. Second, it evaluates JSON-LD structured data, the schema.org markup that tells search engines and language models what a page actually represents. Third, it compares what the site says about itself against what's actually documented and findable. The output is a semantic coherence score that rewards transparency and penalizes unsupported claims.

It's aimed at businesses that want to appear credible to AI systems, not just human visitors. If you're running a services company and you claim industry expertise but your site is light on published work, Lagotto Meter will flag that. If you've got a blog full of case studies but no structured data to surface them, that's another signal. The goal is to help you see your site the way an AI agent does.

What sets it apart is the focus on semantic truth rather than keyword density or backlink counts. It's not trying to optimize for Google's traditional ranking factors. It's asking whether a language model would trust your site if it read everything on it. That's a different question, and it's getting more important as AI search takes a larger share of how people find information.

The tool is free to use, with a transparent methodology built on publicly verifiable tools. The team behind it, Lake8, also offers a paid audit service for companies that want a written report with specific recommendations on llms.txt implementation, JSON-LD improvements, and content gaps. That runs a fixed fee of 1,500 euros. But the core meter itself costs nothing, which makes it a low-friction way to check your baseline before investing in deeper work.