SEO & GEO Readiness Scorer — Is Your Site Citable by AI?

When to use it

Run it before publishing a new pillar page, before a major content sprint, and once per quarter as a regression check. AI-search visibility is increasingly the gating factor on inbound for B2B.

What you'll need

• A public URL
• Optional: a list of key queries you want to win

How the scoring works

The scorer runs a 100-point rubric structured as a three-stage funnel: Reach (39 points — can an AI agent fetch the page at all), Read (25 points — does the fetched response actually contain the page), and Understand (36 points — can the content be parsed, grounded to an entity, and quoted). Measured signals score; judgement signals are reported but never scored. A failing Reach or Read stage caps the total. The full weight table and versioned changelog live on the scoring standard page.

How to read the output

Anything under 60 means LLMs will struggle to cite the page reliably. 60–80 is competitive. 80+ is best-in-class. The scorer returns a prioritised fix list ordered by funnel stage — a Reach failure is always fixed before a Read or Understand one, because a page an agent cannot fetch cannot be improved by better schema.

Related tools & playbooks

Pair this with the GEO/AEO Playbook for the underlying strategy, the Website Grader for classic SEO, and the Content Creation Playbook for what to publish.

FAQ

What's the difference between SEO, AEO, and GEO?

SEO = ranking in classic search. AEO (Answer Engine Optimisation) = being the answer in featured snippets and PAA. GEO (Generative Engine Optimisation) = being cited inside an LLM answer. The scorer measures all three.

Do I really need an llms.txt file?

It's increasingly used by AI crawlers as a fast-track to canonical content. The scorer gives you partial credit without one but flags it as a recommended fix.

Will GEO replace SEO?

No — it sits on top of it. Sites that aren't crawlable and structured for classic search aren't usually cited by LLMs either.