Concept · GEFUpdated Jul 19, 2026
Generative Engine Friendly (GEF) is the measurable degree to which a page or brand can be accessed, understood, trusted, and cited by generative engines — quantified 0–100 by the GEF Score.
Generative Engine Friendly (GEF) is the measurable degree to which a page or brand can be accessed, understood, trusted, and cited by generative engines — ChatGPT, Claude, Gemini, Perplexity — when composing their answers.
Where SEO produced search-engine-friendly pages to rank, GEO produces generative-engine-friendly pages to be cited. The GEF Score quantifies that property on a 0–100 scale, computed from the page itself — a predictor of AI Visibility (citation rate), not a record of it.
Composition
Four weighted dimensions, built from 16 pre-registered on-page signals. Accessibility acts as a gate — a page a bot cannot read caps the whole.
The engine can reach and parse the page: AI-bot access (GPTBot, ClaudeBot, Google-Extended, PerplexityBot), HTTPS, server-rendered or static HTML, valid JSON-LD, correct canonical, sane robots.
Content is structured for atomic extraction: a direct-answer paragraph early, a regular heading cadence, appropriate length and reading level — passages a model can lift whole.
E-E-A-T plus verifiable author and entity identity: byline markup, sameAs entity links, freshness, internal link importance — reasons for the engine to trust the source it is about to quote.
The page carries citable units — FAQ / HowTo structured data, definitions, statistics, named entities — ready to be lifted into an answer.
Illustrative breakdown — not a measurement of this page.
The score is computed from the page itself, never by querying an engine. Each of the 16 pre-registered on-page signals (OSF: 10.17605/OSF.IO/XCG7J) scores on the registered 0 / 0.5 / 1 rubric; each dimension is the registered-weighted average of its signals, and the four dimensions combine by weight — with Accessibility acting as a gate:
A hard floor is applied: if all four AI bots are blocked AND there is no SSR/static HTML, the score is capped at ("GEF-blocked").
A page AI bots cannot read caps the whole score — which is why Accessibility gates the rest.
Generative Engine Friendly (GEF) is the measurable degree to which a page or brand can be accessed, understood, trusted, and cited by generative engines — ChatGPT, Claude, Gemini, Perplexity — when composing their answers.
The GEF Score quantifies generative-engine-friendliness on a 0–100 scale across four dimensions — Accessibility, Extractability, Authority, and Citability — built from the 16 pre-registered on-page signals (OSF: 10.17605/OSF.IO/XCG7J). It is computed from the page itself, never by querying an engine, so it is a predictor of citation rate, not a record of it.
Most AI scores measure realized presence — how often you are actually cited. The GEF Score measures the property instead: whether a page can be, and deserves to be, cited, computed without querying any engine. AI Visibility (citation rate) — the proportion of LLM answers that cite your domain — is the separate outcome the Score is built to predict.
Raise the weakest dimension first — Accessibility acts as a gate, so a page a bot cannot read caps the whole. Ensure AI-bot access and server-rendered HTML, structure content into self-contained answer-first passages, strengthen author and entity authority, and add citable units like FAQ blocks, definitions, and statistics. Prime Sentia audits each of the 16 pre-registered signals and prioritizes the fixes that move the number most.
Run a free audit to score your pages across the four GEF dimensions and the 16 pre-registered signals — with the fixes that move the number most.
