entity-optimizer
Audit and strengthen entity recognition across search engines and AI systems.
- Evaluates entity presence across Google Knowledge Graph, Wikidata, Wikipedia, and AI systems with a 47-signal checklist covering structured data, knowledge bases, consistency, content authority, third-party mentions, and AI-specific signals
- Identifies gaps in entity identity and creates prioritized action plans with specific, timeframed steps for establishing or fixing brand, person, product, or organization entities
- Works standalone with public search and AI query testing; integrates with knowledge graph, SEO, AI monitor, and brand monitor tools for automated analysis
- Includes templates for entity audits, Knowledge Panel optimization, Wikidata entry creation, and AI entity resolution testing to improve citation likelihood in AI-generated responses
Entity Optimizer
Audits, builds, and maintains entity identity across search engines and AI systems. Entities — the people, organizations, products, and concepts that search engines and AI systems recognize as distinct things — are the foundation of how both Google and LLMs decide what a brand is and whether to cite it.
Why entities matter for SEO + GEO:
- SEO: Google's Knowledge Graph powers Knowledge Panels, rich results, and entity-based ranking signals. A well-defined entity earns SERP real estate.
- GEO: AI systems resolve queries to entities before generating answers. If an AI cannot identify an entity, it cannot cite it — no matter how good the content is.
What This Skill Does
Audits entity presence across Knowledge Graph, Wikidata, Wikipedia, and AI systems; maps all 6 signal categories (47 signals); produces a gap analysis, building plan, and disambiguation strategy.
Quick Start
Start with one of these prompts. Finish with a canonical entity profile and a handoff summary using the repository format in Skill Contract.
Entity Audit
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