What is the GEF Score?

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.

How is the GEF Score different from an AI Visibility score?

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.

How do I improve my GEF Score?

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.

Prime Sentia / Generative Engine Friendly

Vol. 01 · Jun 2026№ 04 dimensions

00 · Concept · GEFUpdated Jun 6, 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 when composing their answers — quantified 0–100 by the GEF Score.

Read the methodology See GEO →

Twenty years ago, “Search Engine Friendly” was the line separating the websites Google could read from the ones it ignored. The engine has changed — now it's generative. The new dividing line is whether your content is Generative Engine Friendly: whether it can be accessed, understood, trusted, and cited when an AI composes its answer. Until now, nobody measured it. The GEF Score does.

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, Generative Engine Optimization (GEO) produces generative-engine-friendly pages to be cited. GEF quantifies that state on a 0–100 scale — the GEF Score — across four dimensions: Accessibility, Extractability, Authority, and Citability. GEF is the most direct on-page lever on AI Visibility (citation rate).

The four dimensions of GEF

The first two ask can the engine use you; the last two ask will it choose and trust you. Each dimension is scored from the 16 pre-registered on-page signals.

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Accessibility

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.

S1 — JSON-LD @graph completeness
S2 — llms.txt presence & validity
S6 — Canonical URL correctness
S7 — AI user-agent crawlability (gate)
S9 — BreadcrumbList presence
S15 — Image alt-text coverage
S16 — HTTPS & Core Web Vitals

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Extractability

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.

S3 — Direct answer within first 120 words
S4 — Heading every ≤ 300 words
S13 — Length 300–2,500 words
S14 — Reading-level accessibility

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Authority

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.

S8 — sameAs entity links
S10 — Author / byline structured data
S11 — Freshness (dateModified, lastmod)
S12 — Internal linking density

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Citability

The page carries citable units — FAQ / HowTo structured data, definitions, statistics, named entities — ready to be lifted into an answer.

S5 — FAQPage / HowTo structured data

The 16 registered signals populate the dimensions unevenly — Citability currently rests on a single registered signal (S5). This is by design: the v1 instrument is technical and structural, and richer citability signals (statistic density, definition blocks, named-entity coverage) are candidates for the v2 instrument. Off-page Academic Repository Presence is exploratory and is not part of the core GEF Score.

Example GEF ScoreIllustrative

82/ 100

Accessibility95

Extractability88

Authority70

Citability75

How the GEF Score works

Each dimension is scored from the page alone, using the 16 pre-registered on-page signals (OSF: 10.17605/OSF.IO/XCG7J). Each signal scores on the registered 0 / 0.5 / 1 rubric; the dimension is their registered-weighted average, and the four combine by weight:

base_d = 100 × Σ(ωᵢ · gᵢ) / Σ(ωᵢ)     # gᵢ ∈ {0, 0.5, 1}; ωᵢ = registered weight
Sub_d  = clamp(base_d, 0, 100)

GEF    = (20·Sub_Acc + 30·Sub_Ext + 25·Sub_Auth + 25·Sub_Cit) / 100
         × gate(Sub_Acc)

gate(Sub_Acc) = 1                if Sub_Acc ≥ 60
gate(Sub_Acc) = Sub_Acc / 60     if Sub_Acc < 60     # linear haircut

# hard floor: all four AI bots blocked AND no SSR/static HTML
#   → GEF ≤ 25, status "GEF-blocked"

See the methodology or the deliverables you receive.

Frequently asked

What is Generative Engine Friendly (GEF)?: 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.
What is the GEF Score?: 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.
How is the GEF Score different from an AI Visibility score?: 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.
How do I improve my GEF Score?: 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.

Related concepts

Generative Engine Optimization (GEO) — the discipline that produces GEF.
Answer Engine Optimization (AEO) — the answer-focused slice.
AI Visibility (citation rate) — the outcome a high GEF Score drives.
GEO Glossary — every defined term in one place.

Get your GEF Score

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