LaunchKit · 2026
Back to Skills

entity-optimizer

Use when the user asks to "optimize entity presence", "build knowledge graph", "improve knowledge panel", "entity.

2
865 downloads
by @aaron-he-zhu

Setup & Installation

openclaw skills install @aaron-he-zhu/entity-optimizer

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install entity-optimizer

Version History

v3.0.0Mar 4, 2026 - Version note by skill developer:

**Entity-Optimizer 3.0.0 Changelog** - Major update with new reference documentation: added entity-type reference, example audit report, and Wikidata/knowledge panel guide. - Expanded metadata, compatibility, and tag information for improved marketplace integration. - Updated skill instructions and description for clarity and broader tool ecosystem support. - Improved prompt examples, use-case descriptions, and documentation structure. - No breaking changes to core functionality; enhances usability and onboarding with reference materials.

What This Skill Does

Audits and builds entity identity for brands, people, and organizations across search engines and AI systems. Evaluates presence on Google Knowledge Graph, Wikidata, Wikipedia, and tests how AI systems like ChatGPT and Perplexity recognize and describe the entity. Produces a prioritized action plan to establish or strengthen entity signals.

Combines traditional SEO entity work with AI citation readiness in one audit, covering both Google Knowledge Graph signals and how LLMs resolve the entity when generating answers.

When to use it

  • Finding out why Google shows no Knowledge Panel for a brand
  • Fixing incorrect details in an existing Knowledge Panel
  • Getting AI systems to correctly identify and cite a company
  • Resolving confusion when two brands share the same or similar name
  • Preserving entity identity before a site migration

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Audit entity presence for my B2B SaaS company, CloudMetrics

AGENT
  1. 1Collect entity name, type, domain, target topics, and known profiles from the user
  2. 2Build entity profile table covering Knowledge Panel, Wikidata, Wikipedia, and schema.org status
  3. 3Run AI entity resolution test queries across ChatGPT, Claude, Perplexity, and Google AI Overview
  4. 4Evaluate all 6 signal categories using the 47-signal checklist and flag gaps
  5. 5Produce ranked action plan with a week-by-week entity building roadmap
OUTPUT

Entity audit report with signal category scores, critical issues list, top 5 priority actions, and a 3-month roadmap covering structured data, knowledge bases, and AI-specific optimization