Entity Density & E-E-A-T
How named entities and authorship signals influence AI citation likelihood.
What We Test
AgentReady analyzes the text content of your pages to measure entity density — the frequency of named entities (people, organizations, brands, places, products) per 100 words. We also check for E-E-A-T signals: author bylines (patterns like "by" or "written by"), organization mentions, and Organization schema markup.
Why It Matters
AI models build knowledge graphs from entities — specific, named things they can cross-reference across the web. Content rich in entities (mentioning specific people, companies, products, and locations) is easier for AI to verify, categorize, and cite. Additionally, Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) directly influences which sources AI Overviews choose to reference. Pages with clear authorship and organizational backing rank higher in AI-generated responses.
How Scoring Works
Entity Density is 15% of your overall score. The bulk of points come from density: 5+ entities per 100 words earns +80, 3-5 earns +60, 1-3 earns +30. Having detectable author entities adds +10, and having an identifiable organization entity adds another +10.
How to Improve
Use specific names instead of generic references — say "Stripe" instead of "the payment processor," name the author of each article, and reference your company by name. Add author bylines with "By [Name]" on every piece of content. Include Organization schema on your homepage and Person schema on author pages. The goal is to make every page rich with verifiable, specific entities that AI can cross-reference.