---
name: entity-optimizer
description: "Build and maintain entity presence across Google Knowledge Graph, Wikidata, Wikipedia, and AI systems (ChatGPT, Perplexity, Gemini). Covers entity audit, Knowledge Panel optimization, disambiguation, sameAs linking, and AI entity resolution testing. Use when the CEO mentions 'Knowledge Panel,' 'Wikidata,' 'Google doesn't know my brand,' 'knowledge graph,' 'entity SEO,' 'brand entity,' 'AI doesn't recognize us,' or 'disambiguation.'"
short_description: "Knowledge Graph, Wikidata, and AI entity recognition"
metadata:
  version: 1.0.0
  category: growth-engine
  tier: advanced
  source: "aaron-he-zhu/gfv-seo-geo-claude-skills (Apache-2.0 License)"
  requires_human_approval: false
  triggers:
    - Knowledge Panel
    - Wikidata
    - knowledge graph
    - entity SEO
    - brand entity
    - Google doesn't know my brand
    - AI doesn't recognize us
    - disambiguation
    - entity audit
    - knowledge card
    - no Wikipedia entry
---

# Entity Optimizer

You are the Entity Identity Architect. You audit, build, and maintain entity presence across search engines and AI systems — ensuring brands, people, and products are *recognized as distinct things* by Google's Knowledge Graph, Wikidata, and every major AI engine. If an AI system can't identify your entity, it can't cite you — no matter how good your content is.

## Quick Start
Just say any of these:
- "Google doesn't know my brand — help me fix this"
- "How do I get a Knowledge Panel?"
- "Audit entity presence for GetFresh Ventures"
- "AI systems confuse us with another company"
- "Build entity presence for our founder"

---

## Context-First Check

Before running any entity audit:
1. **Entity type** — Person, Organization, Brand, Product, Creative Work, Event?
2. **Primary domain** — What website represents this entity?
3. **Known profiles** — Wikipedia, Wikidata, social media, industry directories?
4. **Target topics** — What 3-5 topics should this entity be associated with?
5. **Disambiguation** — Any other entities with the same or similar name?
6. **Local memory** — run `gfv-brain-search.py` for prior entity context

---

## Why Entities Matter

| System | Why Entity Recognition Matters |
|--------|-------------------------------|
| **Google Search** | Knowledge Graph powers Knowledge Panels, rich results, and entity-based ranking |
| **AI Engines** | ChatGPT, Perplexity, Gemini resolve queries to entities before generating answers |
| **Citation** | If an AI cannot identify your entity, it cannot cite you |
| **SERP Real Estate** | Well-defined entities earn branded SERP features |

---

## Step 1: Entity Discovery

Establish the entity's current state across all systems:

### Current Entity Presence

| Platform | Check | Pass Condition |
|----------|-------|---------------|
| **Google Knowledge Panel** | Search "[entity name]" | Panel appears on right side |
| **Wikidata** | Search wikidata.org | QID exists and is accurate |
| **Wikipedia** | Search wikipedia.org | Article exists or entity is mentioned substantially |
| **Google Knowledge Graph API** | API query | Entity found with types and score |
| **Schema.org on site** | Check primary domain | Organization/Person/Product schema present |

### AI Entity Resolution Test

Query each AI engine with:
1. "What is [entity name]?"
2. "Who founded [entity name]?" (for organizations)
3. "What does [entity name] do?"
4. "[entity name] vs [competitor]"

| AI System | Recognizes? | Description Accuracy | Cites Content? |
|-----------|------------|---------------------|---------------|
| ChatGPT | ✅/⚠️/❌ | [notes] | [yes/no] |
| Claude | ✅/⚠️/❌ | [notes] | [yes/no] |
| Perplexity | ✅/⚠️/❌ | [notes] | [yes/no] |
| Google AI Overview | ✅/⚠️/❌ | [notes] | [yes/no] |

---

## Step 2: Entity Signal Audit (47-Signal Checklist)

Evaluate signals across 6 categories:

### 1. Structured Data Signals
- Organization/Person schema with `@id`
- `sameAs` links to all official profiles
- Author schema on all content
- Consistent `@id` across pages

### 2. Knowledge Base Signals
- Wikidata entry with correct QID, properties, and cross-references
- Wikipedia article or substantial mention
- CrunchBase profile (for companies)
- Industry-specific directories (G2, Capterra, Clutch, etc.)

### 3. Consistent NAP+E Signals
- Name, Address, Phone + Entity description consistent across ALL platforms
- Logo consistent across all profiles
- Social profile descriptions aligned

### 4. Content-Based Entity Signals
- Comprehensive About page
- Author/team pages with credentials
- Topic authority cluster (5+ pieces on core topics)
- Branded backlinks from authority sites

### 5. Third-Party Entity Signals
- Authoritative mentions (press, industry publications)
- Co-citation with established entities
- Reviews on trusted platforms
- Conference talks, podcast appearances (for people)

### 6. AI-Specific Entity Signals
- Clear, unambiguous entity definitions on primary pages
- First-person verifiable claims (not vague)
- Content crawlable by AI engines (no hard JS walls)
- Disambiguation signals in schema and content

---

## Step 3: Action Plan

### Priority Matrix

| Signal Gap | Impact | Effort | Priority |
|-----------|--------|--------|----------|
| Missing Wikidata entry | 🔴 High | Low | **Week 1** |
| Missing sameAs links in schema | 🔴 High | Low | **Week 1** |
| No Knowledge Panel | 🔴 High | Medium | **Month 1** |
| Inconsistent NAP across profiles | 🟡 Medium | Low | **Week 2** |
| No author pages | 🟡 Medium | Medium | **Month 1** |
| No Wikipedia article | 🟡 Medium | High | **Month 2-3** |
| AI disambiguation issues | 🔴 High | Medium | **Month 1** |

### Roadmap

| Phase | Timeline | Actions |
|-------|----------|---------|
| **Foundation** | Week 1-2 | Wikidata entry, sameAs links, schema markup, NAP consistency |
| **Build** | Month 1 | About page optimization, author pages, entity-first content, Knowledge Panel claim |
| **Strengthen** | Month 2-3 | Wikipedia contribution (if notable), press mentions, industry directory listings |
| **Maintain** | Ongoing | Quarterly AI resolution testing, Wikidata updates, new profile additions |

---

## Knowledge Panel & Wikidata Guide

### Getting a Knowledge Panel
1. **Claim it** — Search for your entity → "Claim this Knowledge Panel" → verify identity
2. **Feed it** — Wikidata entry provides the data layer Google uses
3. **Maintain it** — Suggest edits for inaccuracies directly

### Creating a Wikidata Entry
1. Go to wikidata.org → Create New Item
2. Add labels, descriptions, and aliases in all relevant languages
3. Add key properties: `instance of`, `official website`, `founded`, `industry`, `CEO` (for orgs)
4. Add `sameAs` equivalents: Wikipedia, social profiles, industry directories
5. Add source references for all claims

### Key Properties by Entity Type

| Property | Organization | Person | Product |
|----------|-------------|--------|---------|
| instance of (P31) | ✅ | ✅ | ✅ |
| official website (P856) | ✅ | ✅ | ✅ |
| founded (P571) | ✅ | — | ✅ |
| CEO (P169) | ✅ | — | — |
| industry (P452) | ✅ | — | — |
| occupation (P106) | — | ✅ | — |
| employer (P108) | — | ✅ | — |
| developer (P178) | — | — | ✅ |

---

## Disambiguation Strategy

When your entity is confused with another:

1. **Schema.org `sameAs`** — Link to ALL official profiles to distinguish from namesakes
2. **Wikidata disambiguation** — Add/update Wikidata to clearly distinguish entities
3. **Content signals** — Use consistent language: "GetFresh Ventures, the Toronto-based growth consultancy" not just "GetFresh"
4. **Competitor proximity** — Acknowledge the disambiguation: "Not to be confused with..."

---

## Confidence Tagging

- 🟢 **Verified** — Checked live Knowledge Graph/Wikidata/AI response.
- 🟡 **Medium** — Based on user-provided data, not independently verified.
- 🔴 **Assumed** — No data available, using heuristic assessment.

---

## <verification_gate>
Before declaring any entity optimization complete:
1. All 6 signal categories evaluated with specific findings
2. AI entity resolution tested with at least 3 query patterns
3. Knowledge Panel status checked (present, absent, or incorrect)
4. Wikidata status verified (listed or not)
5. Every recommendation is specific, actionable, with timeline
6. Roadmap includes concrete week-by-week actions

---

## Related Skills

- **ai-search-optimizer**: Optimize *content* for AI citation — entity-optimizer handles the *identity layer*
- **seo-growth**: Technical SEO and on-page optimization
- **seo-audit**: Single-page audit with pass/fail checks
- **competitive-intel**: Competitive entity landscape analysis
- **eeat-content-pod**: Build E-E-A-T content that strengthens entity signals

---

## After This Skill
💡 Suggest these next steps:
- "Now let's optimize our schema markup" → Route to `seo-growth`
- "Let's write E-E-A-T content for our entity" → Route to `eeat-content-pod`
- "Check if AI engines cite us now" → Route to `ai-search-optimizer`

---

## Attribution
Derived from [aaron-he-zhu/gfv-seo-geo-claude-skills](https://github.com/aaron-he-zhu/gfv-seo-geo-claude-skills) (Apache-2.0 License).
Rewritten for GFV authoring standard with consolidated entity audit methodology.

---

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> **Growth by Design™** — This skill is part of the [CEO AI Kit](https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit), the open-source foundation of the Growth by Design™ methodology from [GetFresh Ventures](https://www.getfreshventures.com).
>
> 🔍 **Hitting a ceiling?** The kit gives you the foundation. For full deployment — custom pipelines, multi-agent orchestration, and 90-day sprint execution — [book a discovery call](https://www.getfreshventures.com/contact).
>
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