These are the 22 signals a GEO-Score report measures. Each one has its own guide, so the entries here are one-line pointers.
E-E-A-T
Google's framework for Experience, Expertise, Authoritativeness, and Trust, which AI search engines use as a signal for whether your content is safe to cite.
Topical Authority
How completely your whole domain covers a subject area, not just one page — AI engines favour sites that show expertise across a topic.
Citability
How easily a specific passage of your content can be lifted and quoted word-for-word in an AI-generated answer.
Factual Density
How many verifiable facts, numbers, and data points sit in each paragraph — dense content is easier for a model to cite than to paraphrase.
Semantic Clarity
How clearly a language model can read your page's meaning: named entities, plain relationships, and as little ambiguity as possible.
Content Type Matching
Whether your page's format — list, table, definition, how-to — matches the format AI engines prefer to extract for that kind of question.
Platform Specificity
How well your content fits the different behaviours of individual AI platforms such as ChatGPT, Claude, Perplexity, and Gemini.
Schema Validator (Structured Data)
Whether your page's schema.org JSON-LD markup is present, valid, and complete — one of the strongest technical signals AI engines use to understand a page.
Sitemap & Discoverability
Whether AI and search crawlers can find your page at all, through your sitemap.xml and your internal links.
Page Speed
How fast your page responds — slow pages and timeouts get skipped by AI crawlers before the content is ever read.
Answer Completeness
Whether a section answers a likely question on its own, so it can be extracted without the reader needing the rest of the page.
Comprehensiveness
How thoroughly your page covers a topic's subtopics and follow-up questions, so it can satisfy several angles of the same query.
Content Freshness
How recently your content was published or meaningfully updated — a recency signal that several AI engines weigh, Perplexity and ChatGPT in particular.
Content Structure
How clearly your page is organised with headings, lists, and hierarchy, so an AI crawler can find the right section quickly.
Image Alt Text
Descriptive text alternatives for your images, which let AI systems understand visual content they cannot see.
Semantic Keywords (LSI Keywords)
Related terms and concepts that naturally appear alongside your topic, signalling depth to both search and AI engines. Note: "LSI" (Latent Semantic Indexing) is a legacy SEO label — modern systems use embeddings-based semantic understanding, not the original 1990s LSI algorithm.
Readability
How easy your page is to parse, for models and for people, usually measured with a score such as Flesch Reading Ease.
Content Cohesion (Transition Words)
The words and phrases that link your ideas across sentences and paragraphs, helping a language model follow your logic.
AI Bot Access
Whether AI crawlers such as GPTBot, ClaudeBot, and PerplexityBot are actually allowed to reach your page, based on your robots.txt and your server responses.
AI Optimization
The composite score that combines your schema, structure, statistics, and freshness signals into one overall measure of AI-readiness.
Citations & Sources
Whether your page cites external, authoritative sources for its claims — a trust signal AI engines use when deciding what to cite themselves.
Knowledge Graph
A structured database of entities and how they relate to each other, such as Google's Knowledge Graph, which AI systems use to check facts and tell similar topics apart.