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Machine legibility audit

How legible are you
to machines?

Models are how people find you now. Before an answer engine can cite you, recommend you, or quote you, it has to read you — cleanly, on your own terms. This grades whether it can: five checks, scored out of 100, run in the open.

Audit

Grade a site's legibility

We normalize to the origin, follow your own redirect, and read only public pages.

Advanced options

The rubric

What gets checked?

Five signals a language model relies on to understand a site — each weighted by how much it matters. The number is the points it's worth toward your score of 100.

Legibility isn't about blocking or allowing crawlers — it's about being intelligible. The audit reads the same public files any model would, and reports what it found.

  1. 25

    llms.txt

    A curated map at /llms.txt telling models what you publish and where it lives.

  2. 20

    robots.txt

    Whether AI crawlers get an explicit, intentional stance — a clear signal, allow or disallow.

  3. 15

    Sitemap

    A parseable sitemap.xml so nothing worth reading goes undiscovered.

  4. 25

    Metadata

    Title, description, canonical link, and OpenGraph on your homepage — the basics, done right.

  5. 15

    Structured data

    JSON-LD schema that names what your pages actually are, in a form machines parse directly.