GEO Score | Citera Docs
Docs GEO Score

GEO Score

The GEO score is a single 0–100 rating of a page's AI citation potential. It's a weighted average of 5 dimensions, each scored independently and explained with specific findings.

Overview

Each dimension is scored from 0 to 100, then combined using the weights below. A strong page scores 70–90, an average page 40–65, and a weak page below 40.

weighting
Answer Directness 25% Authority Signals 25% Structured Data 20% Semantic Coverage 20% Content Freshness 10%

Answer Directness 25%

Does the page answer specific questions directly? AI engines favour content with clear definitions, Q&A patterns, step-by-step instructions and answer-first formatting. Burying the answer under marketing copy hurts this dimension.

Authority Signals 25%

Signals that the content is trustworthy: outbound citations to credible sources, statistics with attribution, named authors with credentials and expert quotes. Pages that make claims without backing them up score low here.

Structured Data 20%

JSON-LD schema that helps engines parse your content — FAQPage, Article, HowTo, Organization and Product. More AI-friendly schema types, correctly implemented, raise this score. (This very page ships such schema.)

Semantic Coverage 20%

Depth and completeness of topic coverage: sufficient word count, a quality meta description, a clear heading hierarchy and a summary or conclusion. Thin pages that touch a topic without exploring it score low.

Content Freshness 10%

Visible publication or update dates, references to the current year, and "last updated" signals. Freshness is judged relative to today's date — recent, dated content scores higher because engines prefer to cite current sources.

Focus on the lowest-scoring dimensions first — because of the weighting, fixing a weak 25% dimension moves your headline score far more than polishing one that's already strong.