| name | entity-seo-playbook |
| description | Use when optimizing for AI search visibility where individual experts and entities outperform generic brand pages. Use when building cross-platform authority for people, organizations, or products that AI models should recognize and cite. |
| license | MIT |
| metadata | {"author":"ClawFu","version":"1.0.0","mcp-server":"@clawfu/mcp-skills"} |
Entity SEO Playbook
Build entity authority so AI search surfaces your people, brand, and expertise — not just your pages. Based on Lily Ray's entity-first framework.
When to Use This Skill
Use this skill when you need to:
- Establish an expert or brand as a recognized entity in AI search results
- Audit entity presence across platforms (Google Knowledge Panel, Wikidata, LinkedIn, etc.)
- Optimize for AI search where entities outperform keyword-optimized pages
- Build cross-platform authority for a person, product, or organization
- Improve citation probability across ChatGPT, Perplexity, Google AI Overviews
- Develop a digital PR strategy centered on entity recognition
This skill is particularly valuable for:
- Consultants and experts building personal brand visibility
- B2B companies where thought leaders drive trust
- Publishers optimizing for AI-era traffic
- Anyone whose Google Knowledge Panel is missing or incomplete
Methodology Foundation
Source Expert: Lily Ray (VP of SEO Strategy, Amsive Digital; columnist, Search Engine Land)
Core Thesis: Entity-first replaces website-first. AI search models surface entities — people, organizations, concepts — not URLs. Individual experts with cross-platform digital footprints get disproportionately cited by AI.
"The shift isn't from SEO to GEO. It's from page-first to entity-first. AI models don't rank pages — they recognize entities and assess their authority across the entire web." — Lily Ray, The Search Session (Advanced Web Ranking)
Supporting Research:
- Google Search ranking code leak (2024) — site quality score correlates with brand search volume
- Mark Williams-Cook's signal decay thesis — link graphs and click data are eroding, entity signals are strengthening
- Metehan Yeşilyurt's AI bot analysis — different AI products retrieve entity information differently
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|
| Audits entity presence across platforms | Which entities to prioritize |
| Identifies gaps in entity establishment | Content and PR strategy budget |
| Generates structured data recommendations | Which platforms to invest in |
| Creates entity-building content plans | Expert credentials and experience to highlight |
| Maps entity relationships | Strategic positioning decisions |
What This Skill Does
When invoked, I will guide you through:
- Entity Audit — Assess current entity recognition across AI and search
- Entity Establishment — Create or strengthen entity signals
- Cross-Platform Authority — Build consistent entity presence
- Content Strategy — Create entity-reinforcing content
- Measurement — Track entity visibility in AI search
Instructions
Phase 1: Entity Audit
Before building, assess where you stand.
Entity Recognition Checklist
GOOGLE KNOWLEDGE PANEL
[ ] Does the entity have a Knowledge Panel?
[ ] Is the information accurate and complete?
[ ] Are notable works/credentials listed?
[ ] Is the entity connected to related entities?
WIKIDATA / WIKIPEDIA
[ ] Does a Wikidata entry exist? (Q-number)
[ ] Is the entity described with proper claims and references?
[ ] Does a Wikipedia article exist? (if notable enough)
SCHEMA MARKUP
[ ] Is Person/Organization schema present on owned sites?
[ ] Does schema include sameAs links to official profiles?
[ ] Is author markup on all published content?
AI SEARCH TEST
[ ] Ask ChatGPT: "Who is [entity]?" — does it know them?
[ ] Ask Perplexity: "[entity] expertise" — what sources cited?
[ ] Ask Google AI Overview: "[entity] + topic" — are they mentioned?
CROSS-PLATFORM PRESENCE
[ ] LinkedIn profile complete and active?
[ ] Guest appearances on podcasts/webinars?
[ ] Published articles on third-party sites?
[ ] Conference speaking engagements listed?
[ ] Professional directory listings?
Entity Authority Score (Informal)
| Level | Description | Signals |
|---|
| 0 — Unknown | AI doesn't recognize the entity | No Knowledge Panel, no AI mentions |
| 1 — Emerging | AI has partial information | Some mentions, no consistent identity |
| 2 — Established | AI recognizes and can describe | Knowledge Panel exists, AI answers are accurate |
| 3 — Authoritative | AI cites as a source | Consistently referenced in AI responses on topic |
| 4 — Definitive | AI uses as primary reference | Top-of-mind entity for the topic domain |
Phase 2: Entity Establishment
For People (Experts, Consultants, Authors)
Minimum viable entity:
- Consistent name across all platforms (exact same format)
- One authoritative bio page on your own site with Person schema
- LinkedIn profile matching the bio exactly
- Wikidata entry with claims and references (if notable)
- Google Knowledge Panel claimed via Google Search verification
- Author bylines on published content with author schema
Entity-reinforcing actions:
- Publish on recognized third-party platforms (not just your blog)
- Get quoted as an expert in news articles (digital PR)
- Appear on podcasts — AI models digest audio transcripts
- Speak at conferences listed on structured event sites
- Create a consistent "About" statement used everywhere
For Organizations (Companies, Brands)
Minimum viable entity:
- Google Business Profile complete and verified
- Organization schema on website with sameAs to all official profiles
- Wikidata entry with proper organizational claims
- Consistent NAP (Name, Address, Phone) across directories
- Brand search volume — actively build brand awareness outside search
For Products
Minimum viable entity:
- Product schema on product pages
- Reviews on authoritative sites — AI search heavily weights product reviews from trusted publishers
- Comparison content mentioning the product alongside known competitors
- Third-party validation — awards, certifications, expert reviews
"Product review pages on authoritative publishers are MORE valuable now than before AI search. AI Overviews synthesize reviews — if you're not in the review set, you don't exist." — Lily Ray
Phase 3: Cross-Platform Authority
AI models don't just crawl your website. They learn from the entire web. Cross-platform content is structural, not optional.
Platform Priority Matrix
| Platform | Entity Signal Strength | Why |
|---|
| LinkedIn | High | Professional identity, endorsements, content |
| Podcast appearances | High | AI transcription creates entity co-occurrence |
| Guest articles | High | Third-party validation of expertise |
| Conference talks | Medium-High | Listed on event sites, referenced in recaps |
| YouTube | Medium | Transcripts + visual identity |
| Twitter/X | Medium | Real-time expertise signals |
| Reddit (as expert) | Medium | Cited by Perplexity frequently |
| Professional directories | Low-Medium | Structured entity data |
The Cross-Platform Consistency Rule
Every platform should reinforce the same entity identity:
- Same name format (don't be "John Smith" on LinkedIn and "J. Smith PhD" on your site)
- Same expertise description (consistent topic association)
- Same profile photo (visual entity recognition)
- Cross-linking — every profile links to the canonical entity page
Phase 4: Content Strategy for Entity Authority
Entity-Reinforcing Content Types
| Content Type | Entity Signal | Example |
|---|
| Original research | Strongest — unique data creates citation necessity | "Our analysis of 10,000 campaigns shows..." |
| Expert interviews | Strong — entity co-occurrence with recognized experts | "I spoke with [Expert] about..." |
| Case studies | Strong — first-hand experience signal | "Here's how we achieved X for [Client]..." |
| Conference recaps | Medium — positions entity in professional context | "At [Conference], the key insight was..." |
| Contrarian analysis | Medium — differentiation from consensus | "The conventional wisdom is wrong because..." |
| How-to guides | Low-Medium — helpful but interchangeable | Commodity content unless paired with unique data |
Favicon & Visual Identity in AI Results
Google AI Mode, AI Overviews, and Google Discover all display favicons prominently. Your favicon is the new meta description — it's the visual identifier in AI-generated results.
Actions:
- Ensure favicon is distinctive at 16x16px and 32x32px
- Use your brand mark, not a generic icon
- Test favicon visibility against competitors in search results
- Consider favicon as brand recognition driver (users scan visually)
Phase 5: Measurement
Entity Visibility Tracking
| Metric | How to Track | Frequency |
|---|
| Brand search volume | Google Search Console, Google Trends | Monthly |
| Knowledge Panel accuracy | Manual check | Quarterly |
| AI mention test | Ask ChatGPT/Perplexity/Claude about entity | Monthly |
| Citation in AI Overviews | Search "[topic]" and check AI Overview sources | Weekly |
| Cross-platform consistency | Manual audit of all profiles | Quarterly |
| Branded traffic | Analytics — filter for brand terms | Monthly |
Leading Indicators
- Increasing brand search volume = entity recognition growing
- More Knowledge Panel attributes appearing = entity understanding deepening
- AI responses becoming more accurate about entity = training data inclusion
- Third-party mentions increasing = entity authority compounding
Examples
Example 1: Consultant Building Personal Entity
Context: SEO consultant wants AI search to recognize them as an expert on GEO.
Entity Audit Results:
- No Knowledge Panel
- LinkedIn complete but not active
- 3 blog posts on own site
- ChatGPT doesn't know them
Action Plan:
- Create Person schema on About page with sameAs to LinkedIn, Twitter
- Publish 2 guest articles on Search Engine Land or Search Engine Journal
- Appear on 3 SEO podcasts as guest expert
- Create Wikidata entry with references to published work
- Write original research: "Analysis of 500 AI Overview citations in [niche]"
- Post weekly LinkedIn analysis (build content entity co-occurrence)
Expected Timeline: 3-6 months to reach Level 2 (Established)
Example 2: B2B SaaS Building Product Entity
Context: Marketing analytics tool wants AI to recommend them when users ask about marketing attribution.
Entity Audit Results:
- Organization schema exists but incomplete
- No product reviews on authoritative sites
- ChatGPT mentions 3 competitors but not them
- Brand search volume: 200/month (competitors: 5,000+)
Action Plan:
- Complete Organization schema with sameAs, foundingDate, founders
- Pitch product review to G2, Capterra + 2 industry publications
- Create comparison content: "[Product] vs [Competitor A] vs [Competitor B]"
- Launch original research: "State of Marketing Attribution 2026"
- Get CEO on 5 industry podcasts discussing attribution methodology
- Build brand awareness: sponsor 2 niche conferences, run LinkedIn ads
Expected Timeline: 6-12 months to appear in AI recommendations
Checklists & Templates
Entity Establishment Checklist
PHASE 1: FOUNDATION (Week 1-2)
[ ] Canonical entity page created on owned site
[ ] Person/Organization schema deployed
[ ] All platform profiles consistent (name, photo, description)
[ ] sameAs links connecting all profiles
[ ] Wikidata entry created (if applicable)
PHASE 2: THIRD-PARTY SIGNALS (Month 1-3)
[ ] 2+ guest articles published on authoritative sites
[ ] 3+ podcast appearances completed
[ ] Professional directory listings updated
[ ] Expert quotes obtained in news/industry articles
PHASE 3: CONTENT AUTHORITY (Month 2-6)
[ ] Original research published
[ ] 5+ entity-reinforcing content pieces live
[ ] Cross-platform content calendar running
[ ] Case studies with named clients published
PHASE 4: MEASUREMENT (Ongoing)
[ ] Monthly AI mention test
[ ] Brand search volume tracked
[ ] Knowledge Panel monitored
[ ] Citation tracking in AI Overviews
Skill Boundaries
What This Skill Does Well
- Auditing entity presence across platforms and AI search
- Creating structured plans for entity establishment
- Identifying gaps in cross-platform authority
- Recommending content strategies that build entity signals
What This Skill Cannot Do
- Create Wikipedia articles (notability requirements are external)
- Guarantee Knowledge Panel creation (Google's decision)
- Access live AI search results to test citations
- Replace genuine expertise (entity signals must reflect real authority)
References
Primary Sources:
- Lily Ray — "How Publishers Can Survive in the Age of AI Search" (The Search Session, Advanced Web Ranking)
- Mark Williams-Cook — "From People Also Ask to AI Search" (The Search Session)
- Google Search ranking code leak analysis (2024) — site quality score
Related Concepts:
- E-E-A-T (Google Search Quality Rater Guidelines)
- Knowledge Graph Optimization
- Digital PR for entity authority
- Schema.org structured data (Person, Organization, Product)
Related Skills
- llm-optimized-content — Content optimization for AI citations
- schema-markup — Implementing JSON-LD structured data
- seo-content-writer — SEO content with E-E-A-T compliance
- brand-voice-learner — Establishing consistent brand identity
- skyscraper-technique — Building linkable authority content
Skill Metadata
name: entity-seo-playbook
category: seo-tools
subcategory: geo
version: 1.0.0
author: GUIA
source_expert: Lily Ray (VP SEO Strategy, Amsive Digital) — The Search Session podcast
difficulty: intermediate
mode: centaur
tags: [entity-seo, geo, ai-search, knowledge-graph, cross-platform, digital-pr, e-e-a-t, lily-ray]
created: 2026-02-10
updated: 2026-02-10
