Get found, cited and bought by AI assistants.
Legible scores how well AI assistants and agents can read your site, then hands you the fixes in priority order. Scoring your site is free.
Machines read first. They never browse.
Fetch it, score it, repair it in order.
[ How it works ]We read your site as an agent does
Legible fetches your pages along with robots.txt, llms.txt, ai-facts.json and your sitemap, then parses the machine-facing signals no human visitor ever sees.
One score, from 0 to 100
Eight weighted dimensions: structured data, entity consensus, citability, commerce readiness, machine access, languages, verification and freshness.
Structured data carries the most weight
It is the one mechanic with demonstrated lift in AI-answer citation, so it takes 20% of the score. llms.txt counts as a minor access signal at best.
You get the repair order, not just the number
The score arrives with a prioritised gap report: what is missing, what it costs you, and which repair to make first.
TLDR; agents read a different version of your site than your customers do. We score that one.
hello@dizaine.ch[ The eight dimensions ]
- Structured data coverage - 20%
- Entity & identity consensus - 15%
- Citability - 15%
- Commerce readiness - 15%
- Machine access & latency - 10%
- Multilingual coverage - 10%
- Verification integrity - 10%
- Freshness - 5%
[ Questions ]
What does it cost?
Nothing. The score and the prioritised gap report are free.
Is this SEO with a new name?
It scores what a machine can resolve, not how you rank. Structured data, entity consensus and commerce readiness decide whether an agent can cite you and buy from you.
Why does llms.txt barely count?
Because the weighting follows evidence. Structured data is the one mechanic with demonstrated lift in AI-answer citation; llms.txt is an access signal, and we score it as one.
What do we get back?
A score out of 100 across eight dimensions, and a gap report in repair order. You can hand it straight to whoever owns the fix.
Brief us your decade.
One conversation to map where AI pays first.