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Authority Score

The Authority Score is a single 0–100 number that summarises how well a brand is positioned across all the signals the platform measures. A higher score means the brand appears more often, more consistently, and in more authoritative contexts in AI-generated answers and web search.

Important: This is GEO.actor's own proprietary composite metric. It is NOT an industry-standard "domain authority", "page authority", or any score produced by a third-party tool (Moz, Ahrefs, Semrush, etc.). Do not compare it directly to those metrics.

Formula

The score is a weighted average of component scores, each normalised to 0–100:

Authority Score = Σ (component_value_i × scaled_weight_i) / 100

When a component cannot be computed (no data yet), it is excluded and the remaining weights are scaled proportionally. This guarantees the score always uses the full 0–100 range even during early data collection.

Components

Component Weight Description
Share of Model 35% Fraction of unbranded prompt answers where the brand is mentioned
AI citation share 15% Fraction of all AI answers where the brand is cited as a source
Referring domain quality 15% Average quality of active referring domains
Entity consistency 10% Consistency of brand entity signals across the web (0–100 audit score)
Technical health 10% 100 minus penalties for open technical issues
AI Overview citation share 10% Fraction of Google AI Overview answers citing the brand
Co-occurrence share 5% How often the brand co-occurs with key topics in AI answers

Weights sum to 100 when all components are available.

Versioning

Each score row stores a config_version field. When the formula or weights change, the version is bumped. Historical rows retain their original version so trends can be re-interpreted correctly.

How to improve your score

The highest-weight component is Share of Model (35%). Focus here first:

1. Topical authority — Create comprehensive, accurate content covering your subject area

2. Entity clarity — Ensure your brand, products, and key people are unambiguous across the web

3. Technical health — Fix JSON-LD errors, llms.txt gaps, and AI crawler blocks

4. Link quality — Earn citations from trusted, topically relevant sources

5. Co-occurrence — Appear alongside your key topics in credible third-party sources

Reading the trend chart

  • Week-over-week score changes reflect changes in underlying components
  • A score drop without a content change may indicate a competitor improved
  • Hover over any data point to see the component breakdown for that week

Something missing? Let us know.