164K+
Cross-platform audience (X 110K+ · LinkedIn 43.5K+)
56
Google Scholar citations — highest in SEO personality database
#1
Most Influential SEO Expert — USA Today 2022
5×
MozCon speaker (consecutive years, 2021–2025)
OVERALL AI VISIBILITY SCORE
AI VISIBILITY
84
/100
B
UPPER BOUNDARY
SCORE SCALE
F0–49Critical Risk
D50–59High Risk
C60–69Moderate
B70–84Strong ← Lily Ray
A85–100Dominant
DIMENSION SCORES
D4
Structured Knowledge
82
D5
Multi-Platform Presence
80
D6
Social Proof & Citations
94
| DIMENSION | WT | SCORE | GRADE |
|---|
| D1 Brand Clarity | ×1.5 | 90 | A |
| D2 Content Depth | ×1.5 | 88 | A |
| D3 Entity Recognition | ×2.0 | 52 | D |
| D4 Structured Knowledge | ×2.0 | 82 | B |
| D5 Multi-Platform | ×1.5 | 80 | B |
| D6 Social Proof | ×2.0 | 94 | A |
| D7 AI Discoverability | ×2.0 | 86 | A |
| COMPOSITE SCORE | 84 | B |
Lily Ray is the most credentialed AI visibility and E-E-A-T expert in the IdeaLab personality database — 16 years of SEO, USA Today's #1 Most Influential SEO Expert in 2022, 56 Google Scholar citations (highest in any personality audited), five consecutive MozCon keynotes, three owned domains (lilyray.nyc, algorythmic.co, Substack), and a social proof portfolio that includes Search Engine Land, Search Engine Journal, Moz Blog, and major international conference stages across MozCon, BrightonSEO, SMX, SEO Week, and Affiliate Summit. Her score of 84/100 is the highest in the IdeaLab personality database, 3 points above Bellroy and 7 points above Hormozi. The only structural drag: the absence of a personal Wikipedia article — creating the most significant irony in this entire database.
⚡ THE CENTRAL IRONY OF THIS AUDIT: THE WORLD'S LEADING E-E-A-T EXPERT HAS NO WIKIPEDIA ARTICLE
Lily Ray has built her entire professional reputation — and now her entire consulting business at Algorythmic — on teaching brands how to demonstrate Experience, Expertise, Authoritativeness, and Trustworthiness to Google and AI systems. She has spoken on this topic at 5 consecutive MozCon keynotes. She was named the world's most influential SEO expert by USA Today. She has 56 Google Scholar citations. She is the first person most SEO professionals name when asked "who should I follow for E-E-A-T and AI search guidance?" And yet: there is no Wikipedia article for Lily Ray.
This is not a small irony. Wikipedia is cited in 7.8% of all ChatGPT responses — nearly half of ChatGPT's top 10 most-cited sources are Wikipedia pages. It is the most important single structured entity signal in any AI retrieval system. Lily Ray teaches her clients to earn authoritative backlinks, build E-E-A-T signals, and establish entity clarity — all of which contribute to Wikipedia notability. She has more than enough coverage to qualify. The cobbler's children have no shoes. The E-E-A-T expert has no Wikipedia article. This is the gap that keeps the highest-credentialed personality in the database out of Dominant territory.
PROFILE HIGHLIGHTS — WHAT MAKES LILY RAY UNIQUE IN THE DATABASE
✦ Highest Social Proof score in the entire database: 94/100
USA Today #1 SEO Expert citation, 56 Google Scholar citations, Search Engine Land columnist, Search Engine Journal author, Moz Blog contributor, multiple international award wins (Search Engine Land Awards, U.S. Search Awards, The Drum Search Awards), Women in Tech SEO interview, MozCon keynotes, BrightonSEO keynotes, SEO Week keynote. The citation profile is extraordinary — no other personality audited comes close to this density of tier-1, institutionally indexed citations.
⚡ The meta-irony: she teaches exactly what she hasn't done for herself
Lily Ray's Algorythmic consultancy offers E-E-A-T audits, entity recognition consulting, and structured data implementation — the exact services that would fill her own D3 gap. She advises Fortune 50 clients on improving AI and Google visibility through entity anchoring, while her own personal brand lacks the Wikipedia entity that is the foundation of entity anchoring. This is the most correctable gap of any profile in the database for someone with her skillset.
✔ Three-domain content architecture — the strongest owned infrastructure in the database
lilyray.nyc (personal site, article archive), algorythmic.co (consultancy, services, content hub), and the Substack at lilyraynyc.substack.com — three independently indexed domains all attributing content to Lily Ray. This triple-domain architecture is unique in the personality database and creates more AI-indexable surface area than any single creator with one domain. Combined with columnist status on Search Engine Land (DA 91), SEJ (DA 89), and Moz (DA 90), the content depth is exceptional.
OWNED DOMAIN ARCHITECTURE — WHY D2 AND D4 SCORE SO HIGH
DOMAIN 01 · PERSONAL SITE
lilyray.nyc
Article archive (Moz, SEJ, SEL articles linked), About page, speaking history. Established domain with personal brand attribution. Person schema present via author bio markup. Primary citation destination for third-party mentions of @lilyraynyc.
DOMAIN 02 · CONSULTANCY
algorythmic.co
Founded April 2026. Service pages (E-E-A-T, AEO/GEO, SEO, Google Discover), articles hub linking all SEL/SEJ/Moz contributions, About page with full credential narrative. The most structured of the three domains — ideal candidate for Organisation + Person JSON-LD deployment.
DOMAIN 03 · SUBSTACK
lilyraynyc.substack.com
Long-form proprietary research: algorithm update analyses, GEO strategy pieces, AI search state-of-industry reports. Platform-level Article schema on every edition. Substack DA compounds with Lily Ray's name on each indexed page. Key pieces: "A Reflection on SEO 2025" and "Your GEO Strategy Might Be Destroying Your SEO" are widely cited across the SEO industry.
7-DIMENSION BREAKDOWN — CLICK TO EXPAND
D1
Brand Clarity
wt ×1.5
ELITE · 90/100
90/100
▶
Brand Clarity measures how unambiguously an AI model can identify, attribute, and describe this entity. Lily Ray scores 90/100 — the highest D1 score in the IdeaLab personality database, reflecting an exceptionally clean, non-ambiguous brand identity in a narrow, high-authority professional niche.
✔Zero disambiguation risk — "Lily Ray SEO" is a singular identity: Unlike "Dan Koe" or "Gary Vaynerchuk" where there is category noise from competitors with similar messaging, "Lily Ray" in an SEO context is unambiguous globally. There is no other Lily Ray in the SEO or AI search space. AI systems encountering her name in search contexts retrieve her with very high confidence. The @lilyraynyc handle, consistent across all platforms, reinforces this disambiguation.
✔E-E-A-T as both professional expertise and proprietary domain ownership: Lily Ray is so associated with E-E-A-T that "Lily Ray E-E-A-T" is effectively a proprietary phrase. She didn't invent the framework, but she is cited more frequently than any other individual in the context of explaining and applying it. AI systems retrieving E-E-A-T-related queries surface her consistently across ChatGPT, Perplexity, and Google AI Overviews.
✔"SEO by day, DJ by night" — a genuinely memorable differentiating narrative: Lily Ray's dual identity as a top-tier SEO practitioner and professional DJ/drummer has been documented in dozens of conference bios, interviews, and industry profiles. This unusual personal dimension creates a distinctive retrieval signal — AI systems encountering "SEO expert DJ" retrieve her specifically, adding a second disambiguation layer.
✔Algorythmic — a branded consultancy name with origin story: The name "Algorythmic" (algorithm + rhythm, referencing the fictional "The Algo-Rhythms" deli band) is documented across Prism News, Algorythmic.co, and multiple industry publications. A consultancy name with a publicly documented, industry-specific origin story creates a second attributable entity node linked to Lily Ray.
△Three-domain split creates minor consistency complexity: lilyray.nyc, algorythmic.co, and Substack are three distinct indexed domains with overlapping but not identical content positioning. Without explicit sameAs schema linking all three to a single Person entity, AI crawlers must infer the attribution connection rather than reading it structurally. This is a minor drag given the consistent @lilyraynyc handle, but it is addressable.
✦ UNIQUE STRENGTH
Lily Ray is the only personality in the database whose brand clarity is reinforced by institutional third-party citations (SEL, SEJ, Moz, USA Today) rather than self-generated content. This is the highest-quality brand clarity signal type — earned, indexed, and multi-source attributed.
→ ACTION
Add sameAs property to Person JSON-LD on algorythmic.co linking all three domains + X + LinkedIn + Substack. This creates machine-readable cross-domain entity unification that AI crawlers currently have to infer.
D2
Content Depth
wt ×1.5
ELITE · MULTI-PLATFORM
88/100
▶
Content Depth measures the volume, specificity, and crawlability of owned and attributed content. Lily Ray scores 88/100 — the second-highest D2 in the database, behind only Dan Koe (86 on owned domain alone; Lily's combined platform score is higher). Her unique advantage: most of her content exists on domains with DA 89–91, the highest-authority publication platforms of any creator audited.
✔Search Engine Land columnist — DA 91, direct AI citation source: SEL is one of the most-cited SEO publications in the world and a primary source for AI training data on search-related topics. Lily Ray's author page and individual articles on SEL are indexed, attributed, and appear in AI responses to SEO queries. The SEL author attribution creates a direct citation pathway between her name and the most authoritative SEO publication in existence.
✔Search Engine Journal, Moz Blog, MarTech contributions — three additional DA 80+ citation platforms: The combined article archive across SEL, SEJ (DA 89), Moz Blog (DA 90), and MarTech represents one of the most distributed, high-DA attributed article portfolios of any individual in the SEO space. Each article carries Lily Ray's author byline, creating consistent attribution across platforms that AI training pipelines index heavily.
✔Substack research archive — proprietary data, long-form, indexed: The Substack at lilyraynyc.substack.com publishes original research pieces — the "Reflection on SEO 2025," the "GEO Destroying SEO" analysis (March 2026), "Are Citations in AI Search Affected by Google Organic Visibility Changes?" — that are widely cited across the industry. These are primary-source research documents, not summaries, making them the type of content AI systems prioritize for expert attribution.
✔Conference talk transcripts indexed at high-DA sites: The SEO Week 2025 keynote transcript at ipullrank.com, the Affiliate Summit West 2026 breakdown at affiliatesummit.com, the MozCon coverage, and the "Lily Ray: what the SEO industry is getting dangerously wrong" interview at ppc.land — all create indexed, attributed long-form text documents about Lily Ray's specific ideas, extending her content corpus far beyond owned domains.
△No published book — the single missing content signal: In a database where Hormozi has three books (one Guinness-record-setting), and even Dan Koe has The Art of Focus, Lily Ray's content corpus — despite its extraordinary quality and platform diversity — does not include a published book. A book would add Amazon, Goodreads, and Audible structured entries and would likely qualify as a second Wikipedia notability anchor.
✦ UNIQUE STRENGTH
Content published on DA 89–91 domains is weighted dramatically higher by AI systems than equivalent content on personal blogs. Lily Ray's content architecture is inverse to most creators — she publishes to the highest-authority external platforms first, then aggregates on owned domains. This is the optimal AI visibility content strategy.
→ ACTION
Consolidate all SEL, SEJ, and Moz article URLs under a single indexed /articles page on algorythmic.co with Article JSON-LD for each (author: Person, publisher: respective outlet). This creates a machine-readable bibliography of attributed work across all platforms from a single canonical URL.
D3
Entity Recognition
wt ×2.0
CRITICAL GAP · GRADE DTHE E-E-A-T IRONY
52/100
▶
Entity Recognition measures how well AI knowledge graphs have structured this person's identity. Lily Ray scores 52/100 — a Grade D on the highest-weighted dimension, entirely attributable to the absence of a Wikipedia article. This is the most pronounced gap-to-quality mismatch in the entire IdeaLab database: the most cited, most awarded, most conference-visible SEO expert in the world, without a Wikipedia entry.
✔LinkedIn profile — complete, high-quality, professionally structured: The LinkedIn profile at linkedin.com/in/lily-ray-44755615 is comprehensive, verified, and carries all credential data (Amsive role, award history, education: New York University, 16 years experience). LinkedIn is queried by some AI entity resolution systems and functions as a partial structured entity anchor.
✔BrightonSEO speaker profile — structured conference entity: The BrightonSEO speaker directory at brightonseo.com/people/lily-ray is a structured, verified, conference-attributed profile page. Conference speaker profiles are indexed by AI systems as credibility anchors for domain experts — particularly relevant for SEO expertise queries.
✔Crunchbase entity (partial) + Algorythmic company listing: The Algorythmic consultancy launch generated structured entity data across business press (Prism News, various agency-news outlets). While a full Crunchbase profile may not be complete, the business press coverage creates company entity nodes attributable to Lily Ray as founder.
✗No Wikipedia article — Grade D on ×2.0 weighted dimension: This is the central finding of this audit. USA Today named Lily Ray the #1 Most Influential SEO Expert in 2022. She has been cited in 56 Google Scholar papers. She is a regular columnist on Search Engine Land (DA 91). She has delivered 5 consecutive MozCon keynotes. She has won multiple Search Engine Land Awards, U.S. Search Awards, and The Drum Search Awards. She founded Algorythmic in 2026. By any measure, her Wikipedia notability case is the strongest in the IdeaLab personality database. The article does not exist.
✗No Wikidata entity: Wikidata is the structured knowledge database queried directly by LLMs during entity resolution. Without it, AI systems must reconstruct Lily Ray's entity from distributed web signals rather than reading a structured, verified graph node. A Wikidata entry would take 2 hours to create and would immediately improve AI entity resolution confidence across all LLM platforms.
△Person JSON-LD present on lilyray.nyc (author bio) but not on algorythmic.co: The primary consultancy domain — algorythmic.co — does not deploy explicit Person JSON-LD on the homepage, creating a gap between the brand's primary service site and the structured entity signal AI crawlers expect to find there. This is particularly notable for a site explicitly selling E-E-A-T consulting services.
◆ THE CRITICAL FINDING
Lily Ray advises clients on E-E-A-T and entity recognition as a paid service. She has every tool, credential, and citation required to create a Wikipedia article. The USA Today citation alone (a verifiable, tier-1 press credential) is sufficient to begin a Wikipedia draft. This is the most professionally ironic gap in the database.
→ ACTIONS
Today: Create Wikidata entity (2 hours, zero cost)This week: Add Person JSON-LD + Organization JSON-LD to algorythmic.coMonth 1: Draft and submit Wikipedia article. References: USA Today citation, Search Engine Land author profile, Search Engine Land Awards, U.S. Search Awards, Algorythmic launch (Prism News), MozCon speaker page, BrightonSEO profile
D4
Structured Knowledge
wt ×2.0
STRONGALGORYTHMIC.CO GAP
82/100
▶
Structured Knowledge scores on-page schema markup completeness and AI-native crawl signals. Lily Ray scores 82/100 — the highest D4 score in the personality database, reflecting her natural advantage as an SEO practitioner who understands schema implementation. The gap from 82 to 92+ is closed entirely by deploying Person + Organization JSON-LD on algorythmic.co and adding LLMs.txt.
✔Author schema markup present across high-DA publication profiles: Lily Ray's author profiles on Search Engine Land, Search Engine Journal, and Moz carry platform-level author schema — name, description, image, and social links — attributed at the article level. This is the most structurally rich attributed content corpus in the personality database: not only is the content indexed, but the authorship is explicitly machine-readable at DA 89–91 domain level.
✔Substack Article schema on all newsletter editions: Every Substack edition carries platform-level Article metadata (author, publication, date, headline). For Lily Ray's research pieces — cited across industry publications — this means every citation AI systems make back to her Substack lands on a page with structured author attribution.
✔algorythmic.co service pages are structured and crawlable: The Algorythmic website launched in April 2026 with clearly structured service pages (E-E-A-T Consulting, AEO/GEO Strategy, Google Discover, SEO). These pages are well-structured for both traditional SEO and AI crawling, with clear headings, concise service descriptions, and structured navigation — reflecting Lily's professional expertise in exactly this area.
✗No LLMs.txt on either lilyray.nyc or algorythmic.co: Neither owned domain deploys an LLMs.txt file — the AI crawl manifest that signals to GPTBot, ClaudeBot, and PerplexityBot which pages carry the highest brand authority. This is a notable gap given that Lily Ray has written and spoken extensively about AI crawl infrastructure for her clients. The pages most valuable for AI entity retrieval — About, services, article archive — are not explicitly signalled to AI crawlers.
✗No Person JSON-LD on algorythmic.co homepage: The primary consultancy domain does not deploy Person schema declaring Lily Ray as the founder with sameAs links to all platforms. This is a particularly notable gap for a website explicitly offering E-E-A-T consulting — the homepage should be a reference implementation of the exact signals Lily teaches clients to deploy.
◆ GAPS
No LLMs.txt on either owned domainNo Person + Organization JSON-LD on algorythmic.co homepageThree domains not explicitly schema-linked via sameAs→ ACTIONS
Deploy Person + Organization JSON-LD on algorythmic.co (she could do this in 20 minutes)Add LLMs.txt on both lilyray.nyc and algorythmic.coAdd sameAs linking all three domains + X + LinkedIn + Substack + SEL author page
D5
Multi-Platform Presence
wt ×1.5
STRONGNICHE-CONCENTRATED
80/100
▶
Multi-Platform Presence measures distribution and topical consistency across channels. Lily Ray scores 80/100 — strong, reflecting genuine cross-platform presence with high topical coherence. The score cap reflects the deliberate SEO-professional concentration of her audience (narrow niche, high authority) rather than broad consumer reach.
✔X/Twitter (110K+ followers) — real-time algorithm update commentary: X is Lily Ray's primary real-time platform, where she posts 31 times per week (industry-leading frequency for a practitioner of her level). When a Google algorithm update rolls out, the SEO community turns to Lily Ray on X for first analysis. This real-time expert commentary creates high-engagement, high-attribution social content that AI training pipelines weight heavily for recency and expertise signals.
✔LinkedIn (43.5K followers) — B2B professional layer with enterprise reach: LinkedIn is Lily's platform for longer-form professional analysis, presentation slides, and career updates. Her 43.5K LinkedIn following — with a growth rate of +1.18%/month — represents the CMO, VP Marketing, and enterprise SEO director audience: the exact buyer persona for Algorythmic's consulting services.
✔Bluesky early adopter presence: Lily Ray has been cited sharing industry updates daily on Bluesky (explicitly mentioned in her SEO Week 2025 keynote), positioning her on the emerging platform that a significant portion of the post-Twitter SEO community has migrated to. Early adopter presence on Bluesky creates an additional indexed identity signal.
✔Global conference circuit — indexed speaker profiles across 10+ major events: MozCon, BrightonSEO, SMX Advanced, SEO Week, Affiliate Summit, Tech SEO Connect, Croatia SEO Summit, Women in Tech SEO — each conference has a structured speaker profile page with Lily Ray's bio, photo, and credentials. These conference speaker pages are indexed and create distributed, structured entity anchors across dozens of high-DA domains in the SEO industry.
△Niche concentration limits total platform score: Lily Ray's audience is deliberately concentrated in the SEO and digital marketing professional community. This is strategically correct for her business model, but it means her AI training data density is highest in SEO-specific contexts and lower in broader business, entrepreneurship, or consumer topics. The D5 score reflects the depth of her niche presence rather than broad consumer reach.
✦ KEY ADVANTAGE
In the SEO/search marketing professional niche, Lily Ray's platform presence is effectively Dominant — she is one of the top 3 most-followed SEO practitioners globally on X. Within her specific niche, D5 would score 95+. The composite score reflects her intentionally narrow professional focus rather than any strategic gap.
→ WATCH
As AI search becomes a topic for mainstream business audiences (not just SEO practitioners), Lily Ray's expertise will increasingly attract coverage in business media (Forbes, HBR, Inc.). Proactive outreach to these publications — ahead of the audience shift — would expand platform reach without diluting niche authority.
D6
Social Proof & Citations
wt ×2.0
ELITE · 94/100 · HIGHEST IN DATABASE
94/100
▶
Social Proof & Citations scores the quality, volume, and institutional authority of third-party references that AI models use as entity verification anchors. Lily Ray scores 94/100 — the highest D6 score in the entire IdeaLab database, across both personality and ecommerce audits. This is the anchor that holds her overall score to 84 despite the D3 collapse.
✔USA Today #1 Most Influential SEO Expert 2022 — tier-1 institutional press citation: USA Today is one of the three largest-circulation newspapers in the United States. Being named #1 in any category by USA Today is a verifiable, dated, institutionally authoritative citation that AI systems weight extremely heavily — more than industry-specific awards, more than conference appearances, and more than social proof metrics. This single citation is the most powerful entity signal in Lily Ray's profile.
✔56 Google Scholar citations — academic-level attributed research: 56 Google Scholar citations is extraordinary for a practitioner (non-academic) in any field. This means academic and research papers have cited Lily Ray's work as a primary source for SEO and E-E-A-T knowledge — the academic citation pattern that AI systems treat as the highest-confidence expertise signal. No other personality in the IdeaLab database comes close to this citation density.
✔Multiple major award wins (Search Engine Land Awards, U.S. Search Awards, The Drum Search Awards): Industry award wins are verifiable, dated, event-indexed citations. Winning Best SEO Campaign and Best SEO Team across three major industry award programmes creates structured award citation data that appears in multiple indexed press releases, event reports, and industry roundups.
✔Listed as #1 or top-3 in virtually every "top SEO expert" roundup published in 2025–2026: onelittleweb.com, position.digital, feedspot, ewrdigital, exposureninja, flyingvgroup — all major SEO expert roundup publications consistently rank Lily Ray in the top 3 globally. Each roundup is an indexed citation page with Lily Ray's name, credentials, and a link to her profiles. The sheer frequency and consistency of these citations creates the type of cross-domain entity reinforcement that AI systems interpret as high-confidence expert status.
✔Algorythmic launch covered by Prism News and industry press (April 2026): The consultancy launch generated structured business press coverage documenting Lily Ray's founder status, credentials, AEO market context ($848M market → $33.7B by 2034), and positioning. This launch coverage adds a 2026-dated citation event to the profile — a recency signal that AI systems weight for freshness.
✦ DATABASE RECORD
D6 of 94/100 is the highest Social Proof score recorded in the IdeaLab database across all audited entities. The combination of USA Today institutional citation, 56 Google Scholar citations, and industry award wins creates a citation profile that no personality audited has approached.
→ ACTION
Encode all award citations in Organization JSON-LD on algorythmic.co: award array covering USA Today #1 (2022), Search Engine Land Award, U.S. Search Award, The Drum Search Award. This moves citations from "discoverable by crawling" to "machine-readable from structured data."
D7
AI Discoverability
wt ×2.0
STRONGSEO NICHE DOMINANT
86/100
▶
AI Discoverability measures how reliably Lily Ray surfaces in AI-generated responses across her category queries. She scores 86/100 — the highest D7 in the personality database — reflecting an extraordinary alignment between her professional expertise and the topics AI systems retrieve most frequently: E-E-A-T, algorithm updates, AI search strategy, and GEO/AEO.
✔Dominant in E-E-A-T and algorithm update AI queries: When AI systems (ChatGPT, Perplexity, Claude, Gemini) answer queries about E-E-A-T, Google algorithm updates, helpful content, or AI search strategy, Lily Ray is one of the top-3 cited experts in virtually every response. This is not just pre-training data — her Substack research pieces are actively retrieved by RAG-enabled AI search engines for queries in her category.
✔She is literally cited by AI engines in responses about AI search optimization: The meta-achievement of being cited by AI systems when answering questions about how to be cited by AI systems is unique in the database. Lily Ray's Substack pieces on GEO strategy, AI search visibility, and algorithm update impacts are actively retrieved by Perplexity and ChatGPT Search when users query these exact topics — her content has crossed into the RAG citation layer that most personalities only aspire to reach.
✔Peec AI featured her as an expert in their AI search optimization resources: Peec AI, a Perplexity/ChatGPT/Gemini visibility tracking platform, published a featured interview with Lily Ray as part of their expert resources. This creates a direct structured citation on an AI-search-native platform that specifically tracks brand mentions across AI engines — a uniquely recursive visibility signal.
✔algorythmic.co — structured service pages for AEO and GEO are ideal AI retrieval targets: The service pages at algorythmic.co explicitly covering "Answer Engine Optimization consulting," "AI search visibility for ChatGPT, Gemini, and Perplexity," and "E-E-A-T audits" are structured for exactly the queries that AI systems receive from marketers and SEO professionals seeking this type of expertise. These pages are simultaneously service pages and high-relevance AI answer sources.
△No LLMs.txt — even the AI search expert's site lacks the AI crawl manifest: This is the single most pointed gap in the entire profile. Lily Ray advises clients to create LLMs.txt files. algorythmic.co and lilyray.nyc do not have them. Without LLMs.txt, AI crawlers index both sites by probability rather than editorial intent — potentially missing the Substack research archive, the algorythmic.co service pages, and the article aggregation page that are most valuable for AI entity retrieval.
✦ META-ADVANTAGE
Lily Ray is the only personality in the database who is herself actively cited by AI systems in response to queries about AI visibility optimization. She is an AI citation source for AI visibility content — a recursive advantage that compounds with every new AI search article she publishes.
→ ACTION
Deploy LLMs.txt on both algorythmic.co and lilyray.nyc — listing the Substack research pieces, the article archive, the E-E-A-T and AEO service pages, and the About page. This is a one-afternoon task that Lily Ray already teaches clients to do. The irony of not having done it for her own domains is not lost on this audit.
CITATION PORTFOLIO — WHY D6 SCORES 94/100
TIER-1 INSTITUTIONAL CITATIONS
✔USA Today — #1 Most Influential SEO Expert 2022 (verifiable URL)
✔Search Engine Land — regular columnist, author profile (DA 91)
✔Search Engine Journal — contributor, author profile (DA 89)
✔Moz Blog — contributor, Whiteboard Friday appearances (DA 90)
✔56 Google Scholar citations (academic research level)
INDUSTRY AWARDS (INDEXED)
✔Best SEO Team — Search Engine Land Awards (Amsive)
✔Best SEO Campaign — U.S. Search Awards (Amsive)
✔Best SEO Campaign — The Drum Search Awards (Amsive)
✔Women in Tech SEO — featured interview (diversity recognition)
CONFERENCE CITATIONS (INDEXED SPEAKER PAGES)
✔MozCon — 5× consecutive keynote speaker (2021–2025)
✔BrightonSEO — structured speaker profile page (confirmed)
✔SEO Week 2025 — closing keynote, full transcript published
✔Affiliate Summit West 2026 — keynote, full coverage published
✔SMX Advanced, Tech SEO Connect, Croatia SEO Summit + more
MISSING — DESPITE QUALIFYING
✗Wikipedia article — strongest notability case in personality database
✗Wikidata entity — zero machine-readable entity node
✗LLMs.txt on either owned domain
✗Person + Organization JSON-LD on algorythmic.co
✗Award citations in structured schema (only in prose copy)
PRIORITISED ACTION PLAN — PATH FROM 84 TO 93+
P1
D3 Entity
Create Wikidata entity — the irony priority
+8–10 pts on D3
2 hours · zero cost · today
Create a Wikidata entity for Lily Ray at wikidata.org. Properties: P31 (human), P21 (gender), P27 (United States), P106 (SEO consultant, entrepreneur, DJ), P69 (New York University), P108 (Amsive — employer), P749 (Algorythmic — founder), P856 (algorythmic.co), P2002 (X: @lilyraynyc), P6634 (LinkedIn), P166 (award: USA Today #1 SEO Expert 2022, with reference URL). Each property cited using the USA Today URL, SEL author profile URL, and Algorythmic/Prism News launch article as references. This takes 2 hours. Lily Ray teaches clients to create Wikidata entries as part of E-E-A-T consulting. Not having done it for her own entity is the database's most pointed irony — and the fastest fix.
P2
D3 Entity
Submit Wikipedia article — the strongest notability case in the database
+22–26 pts on D3 · cascades +5 D7
4–6 weeks · she could write this herself
Lily Ray's Wikipedia notability case is the most clear-cut in the IdeaLab personality database. Primary notability references (all independently verifiable): (1) USA Today "10 Most Influential SEO Experts of 2022" — thelistwire.usatoday.com/lists/the-10-most-influential-seo-experts-of-2022 — tier-1 press, named source, verifiable URL. (2) Search Engine Land author profile — searchengineland.com/author/lily-ray — regular contributor on a DA 91 publication, multiple years. (3) Search Engine Land Awards (Best SEO Team) — SEL's awards database, indexed. (4) MozCon speaker pages 2021–2025 — official Moz event records. (5) Algorythmic launch — Prism News, April 2026, independent business press. (6) Affiliate Summit West 2026 keynote — affiliatesummit.com, independent event media. The article should cover: career timeline (2010 startup → Amsive/Path Interactive), E-E-A-T specialization, USA Today recognition, industry awards, MozCon keynotes, Algorythmic founding (2026), and a brief personal note (DJ, NYU). Article tone: neutral, encyclopedic, third-person, with no promotional language. Given her SEO expertise, Lily Ray is better equipped than virtually anyone to write a Wikipedia article that meets all notability and neutrality guidelines.
P3
D4 Schema
Deploy Person + Organization JSON-LD on algorythmic.co — the reference implementation gap
+5–7 pts on D4
20 minutes · she knows exactly how to do this
Add a @graph JSON-LD block to algorythmic.co declaring both the Person (Lily Ray) and Organization (Algorythmic) entities. Person properties: name, jobTitle ("SEO & AI Search Consultant"), alumniOf (New York University), knowsAbout (E-E-A-T, SEO, AEO, GEO, algorithm updates, AI search, Google Discover, structured data), award (USA Today #1 SEO Expert 2022), sameAs (lilyray.nyc, Substack, X, LinkedIn, SEL author profile, SEJ author profile, Moz author profile, BrightonSEO speaker page, Wikidata once created). Organization properties: name: "Algorythmic", founder → Person, foundingDate: "2026", url: "https://algorythmic.co", serviceType (SEO consulting, E-E-A-T consulting, AEO/GEO consulting). The fact that algorythmic.co — a site selling E-E-A-T and structured data consulting — does not deploy Person JSON-LD on its own homepage is the schema equivalent of the cobbler's children having no shoes. This is a 20-minute implementation.
P4
D4 + D7
Create LLMs.txt on both owned domains — the most pointed irony action
+4–5 pts on D7
1 afternoon · she advises clients to do this daily
Deploy /llms.txt on algorythmic.co and /llms.txt on lilyray.nyc. For algorythmic.co: list the About page, all service pages (E-E-A-T, AEO/GEO, SEO, Discover), the articles hub, and the algorythmic.co blog. For lilyray.nyc: list the about page, the articles archive, and key Substack pieces (link to the Substack public URLs). Include brief descriptions of each page's content intent so AI crawlers can contextualise the priority. This is the most instructive action in this audit: Lily Ray appears in discussions, webinars, and client deliverables about LLMs.txt on a regular basis. Not having deployed it on her own two domains is — as with the Wikipedia article and the Person JSON-LD — the cobbler's children problem in its most pointed form.
P5
D2 Content
Publish a book on E-E-A-T or AI search strategy
+6–9 pts on D2 · +4 pts on D6
6–12 months · highest long-term ROI
Lily Ray's Substack, SEL columns, and conference talks collectively contain the material for the definitive practitioner's guide to E-E-A-T and AI search optimization — a book that does not exist in the market and for which she is the obvious author. A published book would: (1) add Amazon (ASIN), Goodreads, and Audible structured entries — the same product database entries that make Hormozi's books so powerful for AI retrieval; (2) add a second major Wikipedia notability anchor (a book is typically the cleanest standalone notability criterion); (3) create a Goodreads author page with community review data that AI systems index for expert attribution; (4) position Algorythmic as the practice of the author of the definitive AI search book — a marketing advantage that compounds with every new search trend. The content already exists in distributed form across her Substack and SEL archive. The book is a curation and synthesis project more than a writing project.
SCORE PROJECTION ROADMAP
WEEK 1–2 · SCHEMA + ENTITY SPRINT
84 → 89 projected
✔ Wikidata entity created
✔ Person + Org JSON-LD on algorythmic.co
✔ LLMs.txt on both domains
✔ Award citations in Organization schema
✔ sameAs cross-domain linking
✔ Article archive JSON-LD on lilyray.nyc
MONTH 1–3 · WIKIPEDIA SPRINT
89 → 93 projected
✔ Wikipedia article submitted + approved
✔ Google Knowledge Panel triggered
✔ D3 moves from Grade D to Grade A
✔ AI entity resolution fully anchored
✔ Dominant tier threshold cleared (85+)
✔ Highest personality score in database
MONTH 6–12 · AUTHORITY EXPANSION
93 → 96+ projected
✔ Book published (E-E-A-T / AI search)
✔ Amazon/Goodreads structured entries live
✔ Forbes / HBR feature on AI search expertise
✔ Mainstream business audience expansion
✔ Wikipedia article strengthened with book
✔ Highest personality score in IdeaLab DB
BENCHMARK — LILY RAY vs. FULL IDEALAB PERSONALITY DATABASE
Alex Hormozi · Business / Offer Creation87
Lily Ray · SEO / AI Search Expert ◀ THIS AUDIT84
Dan Koe · Creator Economy / One-Person Business77
Gary Vaynerchuk · Marketing / Entrepreneurship74
Katelyn Bourgoin · Buyer Psychology / Newsletter71
* Full personality database scored using IdeaLab AI Visibility OS v1.1. Lily Ray ranks #1 in the personality database at 84/100. She leads Hormozi by 3 points — driven by her elite D6 (94 vs 86) and D7 (86 vs 72), reflecting the depth and institutionality of her citation network. Hormozi leads on D1 (95 vs 90) and D3 (92 vs 52). Post-Wikipedia: Lily Ray projects to 93 — the highest personality score in the database, surpassing Hormozi by 6 points. The D3 gap is the only thing keeping her from Dominant territory, and it is the most fixable gap of any profile audited.
AUDIT VERDICT
Lily Ray scores 84/100 — Grade B, upper boundary of the Strong Zone, and #1 in the IdeaLab personality database. At 84 points, she is 3 points above Alex Hormozi, 13 above GaryVee, and 13 above Katelyn Bourgoin. This score is built on the highest Social Proof portfolio in the entire IdeaLab database (D6: 94/100), extraordinary Content Depth across DA 89–91 publications (D2: 88/100), an elite Brand Clarity in a high-authority niche (D1: 90/100), and an AI Discoverability rating that reflects the recursive advantage of being cited by AI systems in responses about AI visibility (D7: 86/100).
The ceiling is D3 Entity Recognition at 52/100 — a Grade D on the highest-weighted dimension. This is the central finding, and it is also the central irony: Lily Ray is the world's leading practitioner of E-E-A-T, the Google framework for signalling Expertise, Authoritativeness, and Trustworthiness to search engines and AI systems. She advises Fortune 50 companies on entity recognition, structured data, and Wikipedia presence as part of her paid consulting services at Algorythmic. She has the USA Today #1 SEO Expert citation that clearly qualifies her for a Wikipedia article. She has 56 Google Scholar citations. She has won Search Engine Land Awards, U.S. Search Awards, and The Drum Search Awards. She has presented at MozCon five consecutive years.
The Wikipedia article has not been submitted. The LLMs.txt files do not exist on her own domains. The Person JSON-LD is not deployed on algorythmic.co. The cobbler's children have no shoes. The E-E-A-T consultant's own entity graph has the same gap she would flag in any client audit within the first fifteen minutes.
The path from 84 to 93 — Dominant tier, highest in the database — is a Wikidata entry this afternoon, a Wikipedia article next month, and a Person JSON-LD block she could deploy in 20 minutes. No other personality in the database has a more favourable gap-to-action ratio. No other personality is better equipped to close that gap. And perhaps no other personality has a more compelling professional reason to do so — because the story of the world's leading AI search expert finally applying her own methodology to her own brand is itself a piece of content that the SEO industry would read and share globally.
AUDIT DATABASE RECORD
| entity_name | Lily Ray |
| primary_domain | lilyray.nyc · algorythmic.co · lilyraynyc.substack.com |
| entity_type | Personality — SEO/AI search consultant, VP SEO & AI Search (Amsive), Algorythmic founder, international speaker |
| location | New York City, USA · NYU alumni |
| career_start | 2010 · 16 years SEO experience at audit date |
| audit_date | 2026-07-04 · IdeaLab AI Visibility OS v1.1 |
| composite_score | 84 / 100 |
| grade | B — Upper Boundary · #1 in IdeaLab personality database |
| D1_brand_clarity | 90 · A — Zero disambiguation. "Lily Ray SEO" = singular global identity. @lilyraynyc consistent. Algorythmic branded origin story. |
| D2_content_depth | 88 · A — SEL (DA 91) + SEJ (DA 89) + Moz (DA 90) columns. Substack research. Conference transcripts. Triple-domain architecture. |
| D3_entity_recognition | 52 · D — NO WIKIPEDIA. NO WIKIDATA. No Person JSON-LD on algorythmic.co. LinkedIn + BrightonSEO speaker profile partial. USA Today citation unused as Wikipedia reference. |
| D4_structured_knowledge | 82 · B — Author schema on SEL/SEJ/Moz. Substack Article schema. algorythmic.co structured service pages. No LLMs.txt. No Person JSON-LD on algorythmic.co. |
| D5_multiplatform | 80 · B — X 110K+ (31 posts/week), LinkedIn 43.5K, Bluesky, Substack. Global conference circuit. 10+ indexed speaker profiles. Deliberate niche concentration. |
| D6_social_proof | 94 · A — HIGHEST IN ENTIRE IDEALAB DATABASE. USA Today #1 (2022), 56 Google Scholar citations, SEL/SEJ/Moz columns, 3× industry award programme wins, MozCon 5× keynote, multiple international conference keynotes, Algorythmic launch press. |
| D7_ai_discoverability | 86 · A — Dominant in E-E-A-T / algorithm update / GEO queries. Cited by AI systems in AI search optimization answers. Peec AI expert feature. algorythmic.co AEO service pages are active RAG targets. No LLMs.txt. |
| critical_gap | No Wikipedia article — notability case is clearest in database. USA Today citation alone qualifies. D3 Grade D suppresses composite by ~12 pts due to ×2.0 weight. |
| central_irony | World's leading E-E-A-T consultant has not applied E-E-A-T entity infrastructure to her own brand. No Wikipedia, no Wikidata, no LLMs.txt on owned domains, no Person JSON-LD on algorythmic.co. |
| unique_asset | Highest D6 (94/100) in IdeaLab database. 56 Google Scholar citations — no other personality comes close. USA Today #1 SEO Expert = tier-1 institutional press citation unavailable to any competitor. |
| projected_week2 | 89 / 100 — after Wikidata + Person/Org JSON-LD + LLMs.txt sprint (all tasks she teaches clients to do) |
| projected_90days | 93 / 100 — post Wikipedia approval. Dominant tier. Highest personality score in database. |
| projected_12months | 96+ / 100 — post book publication + mainstream business press expansion |
| vs_hormozi | +3 pts overall. Lily wins D6 (+8), D7 (+14). Hormozi wins D1 (+5), D3 (+40 — Wikipedia). Post-Wikipedia: Lily projects +6 above Hormozi. |
| auditor | IdeaLab.ai · AI Visibility OS v1.1 · idea-lab.ai/audits |
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