Entity Seo

Helps you optimize for Google's entity understanding system rather than just keyword matching. You'd reach for this when setting up Organization or Person schema, strengthening brand identity across platforms, or preparing content for AI citation in tools like Perplexity and Copilot. The guide is thorough on the why (entities power Knowledge Graphs, BERT, AI overviews) and the how (schema placement, entity signals, consistent naming). Useful detail: it's specific about where Organization schema should live (root layout, not just the About page) and includes @id patterns for entity linking. The entity versus keyword framing is clear enough that you could hand this to a content team.

skills.sh installs: 2.3K
GitHub stars: 1.1K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add kostja94/marketing-skills --skill entity-seo --agent claude-code

Installs into .claude/skills of the current project.

Files

SEO: Entity SEO

Guides entity-based SEO—making your brand, product, and authors recognizable as distinct entities in search engines' knowledge systems. Google moved from keyword-matching to meaning-based understanding (Hummingbird, RankBrain, BERT, MUM); entity understanding is central to how search processes queries. Content structured around entities can receive ~3.2× more visibility in AI-powered search. References: Semrush, Search Engine Land.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.