Entity & Topical Authority Mapper for News & Media — 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 News & Media sites
Topical authority for for news & media 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 news & media sites exactly which topics to cover next to strengthen their semantic footprint.
News websites operate under unique SEO conditions where speed of indexation, Google News inclusion, and topical freshness signals are paramount. News SEO requires rapid publication workflows, proper NewsArticle schema implementation, and adherence to Google News technical policies. Sites must also manage evergreen content alongside breaking news while avoiding cannibalisation across articles covering evolving stories.
for News & Media SEO tips
- Implement NewsArticle schema with datePublished, dateModified, and author details on every article to qualify for Google News and Top Stories carousel.
- Submit your site to Google News Publisher Center and maintain a clean publication record since news-specific indexation is dramatically faster than standard crawling.
- Create evergreen topic hub pages that aggregate coverage of recurring stories to prevent cannibalisation across dozens of related breaking news articles.
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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