// The metric · Programmatic GEO

The Retrieval Readiness Score

One number, 0–100, for a question every tracker skips: before AI decides whether to cite you, can it even find, read and understand you? RRS scores the supply side of AI visibility across four dimensions — and rolls them into a single figure you can move.

// Why this exists

Everyone measures what AI says. Almost nobody measures whether AI can reach you.

A dozen platforms will now tell you how often ChatGPT mentions your brand. None of that is actionable if the real problem is upstream — a blocked crawler, a page that won't chunk, an entity the model can't resolve. Retrieval readiness is the cause; citation is the effect. The Retrieval Readiness Score measures the cause, so you can fix it.

// What it measures

Four dimensions, one score.

01

Access

Can AI crawlers even reach you?

The gate. If GPTBot, ClaudeBot, Google-Extended, PerplexityBot and the rest are blocked in robots.txt or by a managed firewall rule, nothing downstream matters — you cannot be retrieved, so you cannot be cited.

Assessed by AI Crawler Audit →
02

Extraction

Can a clean answer be lifted from your page?

Retrieval works at the passage level, not the page level. If your content only makes sense read top-to-bottom, a model can't lift a self-contained chunk into an answer. We score how cleanly your page fragments into retrievable pieces.

Assessed by Chunk Previewer →
03

Answerability

Does the content actually answer the question?

Generative engines favor passages that state the answer plainly and early, backed by quotable specifics — statistics, named sources, direct claims. We score how directly your page answers the questions your market asks.

Assessed by Answerability Score →
04

Entity Resolution

Does the model know who you are?

Models synthesize from entities, not strings. If your brand, product and category aren't defined clearly and consistently, the model can't confidently attribute a claim to you — and hands the citation to someone it does understand.

Assessed by Entity Check →

// Entity resolution, visualized

A brand the model recognizes as a thing.

Models synthesize from entities, not strings. The more your brand resolves — in Wikidata, the Knowledge Graph, your own schema, and corroborating mentions — the more confidently AI can attribute a claim to you, and cite you.

Wikidata KnowledgeGraph Schema Mentions YOUR BRAND

// How it's scored

Transparent by design.

  • Each dimension is scored 0–100 from the same checks that power our free tools — no black box.
  • Access is a gate, not a quarter. If AI crawlers can't reach you, being answerable is moot — so a failing Access score caps your overall RRS rather than averaging out.
  • Extraction, Answerability and Entity Resolution combine into the readiness composite once you clear the gate.
  • Citation is measured separately. Whether you actually get cited is the outcome — we track that with Citation Gap and Answer Monitor. RRS measures readiness; those measure results.
80–100 Retrieval-ready AI engines can find, extract, understand and cite you. Now it's a coverage game.
60–79 Retrievable, with gaps You're in the running, but specific dimensions are leaking citations to competitors.
40–59 At risk Real structural problems. AI answers about your market are mostly being built without you.
0–39 Largely invisible Usually a blocked crawler or a broken entity. You are effectively absent from AI answers.

See where you stand.

We benchmark Retrieval Readiness for crypto and fintech brands first — but the score works for any site. Book a free audit and we'll run all four dimensions on your domain and hand you the number.

Get your Retrieval Readiness Score →