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

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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

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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

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What This Skill Does

When invoked, I will guide you through:

1. Entity Audit — Assess current entity recognition across AI and search
2. Entity Establishment — Create or strengthen entity signals
3. Cross-Platform Authority — Build consistent entity presence
4. Content Strategy — Create entity-reinforcing content
5. Measurement — Track entity visibility in AI search

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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

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Phase 2: Entity Establishment

For People (Experts, Consultants, Authors)

Minimum viable entity:

1. Consistent name across all platforms (exact same format)
2. One authoritative bio page on your own site with Person schema
3. LinkedIn profile matching the bio exactly
4. Wikidata entry with claims and references (if notable)
5. Google Knowledge Panel claimed via Google Search verification
6. 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:

1. Google Business Profile complete and verified
2. Organization schema on website with sameAs to all official profiles
3. Wikidata entry with proper organizational claims
4. Consistent NAP (Name, Address, Phone) across directories
5. Brand search volume — actively build brand awareness outside search

For Products

Minimum viable entity:

1. Product schema on product pages
2. Reviews on authoritative sites — AI search heavily weights product reviews from trusted publishers
3. Comparison content mentioning the product alongside known competitors
4. 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

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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

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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)

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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

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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:

1. Create Person schema on About page with sameAs to LinkedIn, Twitter
2. Publish 2 guest articles on Search Engine Land or Search Engine Journal
3. Appear on 3 SEO podcasts as guest expert
4. Create Wikidata entry with references to published work
5. Write original research: "Analysis of 500 AI Overview citations in [niche]"
6. 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:

1. Complete Organization schema with sameAs, foundingDate, founders
2. Pitch product review to G2, Capterra + 2 industry publications
3. Create comparison content: "[Product] vs [Competitor A] vs [Competitor B]"
4. Launch original research: "State of Marketing Attribution 2026"
5. Get CEO on 5 industry podcasts discussing attribution methodology
6. Build brand awareness: sponsor 2 niche conferences, run LinkedIn ads

Expected Timeline: 6-12 months to appear in AI recommendations

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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

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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)

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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)

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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

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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