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GEO Visibility Score

The headline result shows the observed mention rate with k/n and a 95% Wilson interval. K1–K12 are separate diagnostics, not components of the observed result.

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What the score shows 12 components and source status Observed AI Performance and GEO Readiness
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What the score shows

GEO Visibility Score shows how a brand performs across a defined set of questions, models, and markets. Its 0–100 scale makes changes easy to compare over time.

The score is not a rating of the company. It always comes with components, evidence, and measurement confidence.

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12

components and source status

K1–K12 do not make up the observed mention rate. They are a diagnostic layer in which some values come from model answers, some from technical audit, and others from proxies or declared data.

The workspace stores source status and an evidence reference. A proxy value must not be treated as a direct observation or a cause of the result.

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Observed AI Performance and GEO Readiness

The components fall into two groups with different natures. Observed AI Performance measures what models actually do today: whether they mention, cite, and recommend the brand. GEO Readiness assesses whether the brand is prepared for models to do so — content, sources, data, technical accessibility.

Separating the two shows whether the problem is missing foundations, or foundations that exist but have not yet translated into observed results.

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Measurement Confidence

AI model answers are variable, so every result carries Measurement Confidence — an explicit measure of how certain the measurement is, derived from factors such as repetition count, answer stability, and data completeness.

Low confidence is never hidden: it means the conclusion should be treated cautiously, and often that the measurement should be extended before decisions are made.

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Technical eligibility gate

If a brand's site is technically inaccessible to AI systems — for example, it blocks their crawlers or does not expose content in a readable form — no amount of content work will pay off.

That is why the methodology includes a technical eligibility gate: critical technical blockers are flagged explicitly and constrain how the remaining components are interpreted, instead of being diluted into an average.

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Industry weights and limitations

Component importance varies by industry — product recommendations, for instance, weigh differently in e-commerce than in B2B services. The methodology therefore applies industry weights when aggregating the score.

Their limitations are stated openly: weights are an approximation, and comparing scores across different industries has limited meaning and is not something we recommend.

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What the score does not mean

GEO Visibility Score is not a promise of ranking position or a revenue forecast. Nor does it guarantee that a specific AI model will name your brand in a specific conversation.

It is a measure of state and preparedness within a defined measurement scope — honestly described, uncertainty included. That honesty is exactly what makes it a useful decision tool.

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Related GeoFolks areas

Compare plans
Product Measure and improve visibility

GeoFolks brings stored model answers, cited sources, competitor mentions, and a recommendation plan into one workspace.
Product GEO assessment and monitoring

The process covers scope setup, answer collection, scoring, reporting, and recommendations. Data availability depends on configured measurement providers.
Product Visibility change over time

Repeated runs show changes in score, brand presence, recommendations, cited domains, and competitors. They do not automatically prove what caused a change.
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Trace the result to evidence

The headline result shows the observed mention rate with k/n and a 95% Wilson interval. K1–K12 are separate diagnostics, not components of the observed result.

View a sample score Discuss scope