Topics
- SEO
- entity-optimization
- knowledge-graph
- wikidata
- brand-entity
- entity-disambiguation
- knowledge-panel
- schema-markup
- geo
What it does
Audits entity identity across Knowledge Graph, Wikidata, Wikipedia, and AI systems; produces a gap analysis and building plan to establish canonical entity recognition. Targets brands, organizations, and people that need Knowledge Panel presence, AI disambiguation, or improved search engine entity signals.
Generated from the current SKILL.md.
Frequently asked
Does this skill help with Knowledge Panel creation?
Yes. The skill audits entity presence across Knowledge Graph, Wikidata, and Wikipedia, identifies gaps in entity signals, and produces a priority action plan to establish or fix Knowledge Panels.
Can this skill disambiguate between entities with similar names?
Yes. The skill includes a disambiguation strategy as part of its output and uses Wikidata QID resolution via the local kg.py helper to distinguish entities that AI systems may confuse.
Does this work for individuals or only organizations?
It works for both, but includes a decision gate for individuals in EU/EEA/UK regions that requires confirming a GDPR lawful basis before writing profiles to memory.
What happens if I don't have Knowledge Graph API access?
The skill continues silently and marks those checks as user-to-run. It includes a zero-dependency local helper script (kg.py) that resolves entities to Wikidata QIDs without API keys.
Does this skill differ from the geo-content-optimizer?
Yes. Entity Optimizer handles entity identity and Knowledge Graph signals; geo-content-optimizer handles page-level AI-citation readiness and content optimization.
Generated from the current SKILL.md. These answers refresh after source changes.
