Entity & Topical Authority Mapper for Crypto & Web3 — AI Citation Score
Extract entities, score topical authority across 6 GEO factors, and find the gaps holding you back from AI citations.
How to use this tool
- 1Enter your main topic
Type the keyword or topic your content is targeting - e.g. "content marketing" or "technical SEO auditing". This calibrates the topic density scoring.
- 2Paste your content
Paste the full text of your article, landing page, or blog post. Include headings, body paragraphs, FAQ sections, and any statistical claims for the most accurate score.
- 3View entities and score
The tool extracts and classifies all entities, displays a topical authority score across 6 GEO factors, and shows you which to fix first for the biggest authority lift.
How this tool helps for Crypto & Web3 sites
Topical authority for for crypto & web3 sites depends on how well search engines understand the entities and relationships your content covers. This mapper visualises your entity network, identifies authority gaps, and shows for crypto & web3 sites exactly which topics to cover next to strengthen their semantic footprint.
Crypto and Web3 projects operate in an SEO landscape where terminology evolves rapidly, YMYL financial scrutiny applies to token-related content, and misinformation concerns cause Google to filter results aggressively. Projects must establish credibility through technical documentation, transparent team information, and educational content that helps newcomers understand complex concepts while satisfying Google's elevated trust requirements for financial topics.
for Crypto & Web3 SEO tips
- Publish comprehensive technical documentation and protocol explainers since Google treats transparent, educational crypto content far better than promotional token pages.
- Add Organization schema with team member details and verifiable credentials because YMYL financial content requires visible authorship and entity transparency.
- Target educational keywords like "what is [concept]" and "how does [protocol] work" to build topical authority before pursuing competitive commercial terms.
The 6 topical authority factors explained
Content depth (800+ words)
Comprehensive content is the first signal AI systems use to assess authority. Pages under 500 words rarely achieve strong topical authority. The threshold is 800+ words for most topics, 1200+ for competitive ones.
Topic & entity coverage
Entity density and diversity tell AI systems whether a page covers a topic broadly enough to be trustworthy. Aim for 8+ distinct entities related to your main topic, across at least 3 entity types.
Content structure
Structured content (headings + clear paragraphs) is easier for AI extraction algorithms to parse. Well-structured pages are cited 4× more often than unformatted text dumps.
Definitions & explanations
AI systems favour definitional sentences ("X is a...", "X refers to..."). These are the most commonly extracted passage types for knowledge-panel and citation answers.
Data & statistics
Pages that include verifiable statistics and research citations are perceived as more authoritative. Even rough benchmarks ("studies show X%...") improve citation rate.
FAQ & question signals
Pages with embedded questions and direct answers win disproportionate PAA, featured snippet, and AI cite slots. Two or more questions significantly improve the GEO score.
Why entity optimisation matters for AI search
Google runs on entities, not keywords
Google's Knowledge Graph stores billions of entities and relationships. When your content covers the right entities, Google can confidently associate your page with a topic - leading to higher rankings independently of exact keyword density.
AI models cite entity-rich content
ChatGPT, Perplexity, and Google AI Overviews preferentially cite pages that clearly define concepts, reference specific organisations and products, and connect entities with verified relationships. Thin content with limited entity coverage is consistently ignored.
Entity diversity beats repetition
A page mentioning five different entity types (concept + product + organisation + person + event) signals broader expertise than 50 mentions of a single keyword. The scoring system rewards entity type diversity explicitly.
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