IDEALAB · AI VISIBILITY OS v1.1 NP-005 · INFLUENCER GRADE B · CITATION READY D5 TOPICAL AUTHORITY 91 — #1 IN DATABASE

AI Visibility Score Report

jaybaer.com· Jay Baer — Customer Experience / Word of Mouth / Marketing Strategy·June 16, 2026

This page presents an independent AI Visibility Score audit of Jay Baer and jaybaer.com, conducted by IdeaLab.ai using the IdeaLab 7-Dimension AI Visibility OS v1.1 framework. Composite score: 81/100. Grade: B — Citation Ready. Jay Baer is a Hall of Fame keynote speaker, NYT bestselling author of 7 books (Youtility, Hug Your Haters, Talk Triggers, Baer Facts, Human.Kind), founder of Convince & Convert, and advisor to 700+ brands including Nike, Oracle, the UN, and 31 of the Fortune 500. His D5 Topical Authority score (91/100) is the highest of any influencer audited in the IdeaLab database. Framework by J.L. Marcoux, IdeaLab.ai.

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Database Record: D5 Topical Authority 91/100 — Jay Baer holds the highest Topical Authority score of any influencer audited so far. "Youtility" framed helpful marketing as a discipline. "Talk Triggers" defined word-of-mouth strategy. "Human.Kind" positions Jay ahead of the AI-era curve. 50+ keynotes/year to audiences up to 6,000. AI engines reliably associate Jay Baer with customer experience and word-of-mouth — that's extremely rare category ownership.
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Key Finding: The Split-Domain Problem — Jay Baer's brand authority is divided across jaybaer.com (personal brand) and convinceandconvert.com (agency/content hub). AI engines receive fragmented entity signals — citations, content depth, and link equity split rather than consolidated. No Person schema on jaybaer.com. Wikidata Q6166361 contains almost no structured data. These structural gaps — not influence gaps — explain why a D5-91 scorer lands at Grade B rather than Grade A.
COMPOSITE SCORE · GRADE SCALE · 7-DIMENSION RADAR
81
/100 · Composite Score
BCitation Ready
GRADE SCALE
A85–100Answer Authority
B70–84Citation Ready
C50–69Legacy Mode
D30–49High Risk Zone
F0–29Pre-AI Era
7-DIMENSION RADAR
DIMENSION SCORES
D1
8610%w
D2
7820%w
D3
7415%w
D4
8320%w
D5
91 ★15%w
D6
7210%w
D7
8510%w
DATABASE RANKINGS (5 AUDITED)
NP-001
91
NP-003
87
NP-005 ◀
81
NP-002
79
NP-004
77
WEIGHTED SCORECARD — IdeaLab AI Visibility OS v1.1
DimensionWeightRaw ScoreWeightedGrade
D1Brand Clarity10%868.60A
D2Content Depth20%7815.60B
D3Entity Recognition NO PERSON SCHEMA15%7411.10B
D4Citation Network20%8316.60A
D5Topical Authority ★ #1 IN DATABASE15%9113.65A
D6Recency & Freshness10%727.20B
D7Trust Signals10%858.50A
TOTAL100%—81B
DIMENSION ANALYSIS — Click any row for signal audit + recommendations
D1Brand Clarity10% weight
✓ 4⚠ 2
86▶

How clearly and consistently does the brand communicate who they are, what they do, and for whom — across the site, metadata, and all touchpoints?

PASSHomepage immediately clear: customer experience, word of mouth, business growth — no ambiguity
PASS'#1 Global Guru in Marketing, #2 in Customer Experience' — powerful, ownable, third-party-validated credential
PASSHall of Fame Keynote Speaker designation prominently featured — strong institutional positioning differentiator
PASS7th-generation entrepreneur narrative is unique and memorable across all brand touchpoints
WARNjaybaer.com and convinceandconvert.com split the brand — two distinct domains for the same entity create fragmented AI signals
WARNHuman.Kind keynote not yet dominant enough to anchor the brand the way 'Youtility' or 'Hug Your Haters' did in their era
KEY GAP
jaybaer.com and convinceandconvert.com fragment Jay's AI entity signal across two domains — reducing the coherence of entity recognition.
RECOMMENDED ACTION LOW PRIORITY
Establish jaybaer.com as the unambiguous canonical personal brand hub. Add crawlable text: 'Jay Baer is founder of Convince & Convert, Hall of Fame keynote speaker, and NYT bestselling author of 7 books.'
D2Content Depth20% weight
✓ 4⚠ 3
78▶

Does the site publish long-form, authoritative, structured content that AI engines can parse, summarize, and cite?

PASSjaybaer.com features articles, research, and blog posts — more content-dense than garyvaynerchuk.com
PASSConvince & Convert blog cited as 'world's #1 content marketing blog' — rich, long-form content asset
PASSSocial Pros podcast (400+ episodes, award-winning) — AI training data indexes transcripts as authoritative content
PASSProprietary research published — CX studies, speed/kindness data underpinning Human.Kind keynote
WARNjaybaer.com publishes infrequently — primary content lives on convinceandconvert.com, splitting AI citation signals
WARNNo FAQ sections or structured Q&A format on personal site — reduces LLM extractability
WARNNo dedicated GEO/AI visibility content on jaybaer.com despite being a top marketing authority
KEY GAP
Best content lives on convinceandconvert.com — AI citation signals split across two domains, reducing domain-level authority for the personal brand.
RECOMMENDED ACTION MEDIUM PRIORITY
Republish key Convince & Convert research to jaybaer.com with canonical tags. Add FAQ architecture. Build Human.Kind content pillar directly on jaybaer.com.
D3Entity Recognition NO PERSON SCHEMA15% weight
✓ 3⚠ 4
74▶

Do AI knowledge graphs recognize Jay Baer as a distinct, verified entity?

PASSWikipedia page: Jay Baer — exists, covers Convince & Convert founding, books, career history
PASSGoogle Knowledge Panel: present with photo, description, books listed
PASSWikidata entry Q6166361 exists — confirmed as 'American writer'
WARNWikidata Q6166361 is extremely sparse — only 'instance of: human' with one reference; no occupation, books, or employer
WARNWikipedia page thin on post-2020 career — Human.Kind keynote era, recent advisory work not documented
WARNNo Person schema JSON-LD detected on jaybaer.com — critical structural gap for AI knowledge graphs
WARNJay Baer / Convince & Convert / convinceandconvert.com exist as separate entity nodes without sameAs linking
KEY GAP (HIGH PRIORITY)
No Person schema on jaybaer.com. Wikidata Q6166361 is nearly empty. AI graphs recognize the name but lack structured data to confirm credentials, books, and entity connections.
RECOMMENDED ACTION HIGH PRIORITY
Deploy comprehensive Person JSON-LD on jaybaer.com with sameAs (Wikipedia, LinkedIn, Wikidata Q6166361), knowsAbout, hasOccupation, alumniOf. Massively enrich Wikidata entry. Expand Wikipedia page with 2020–2026 career detail.
D4Citation Network20% weight
✓ 5⚠ 2
83▶

How often is jaybaer.com cited, linked to, or mentioned by authoritative third-party sources?

PASSNYT Bestselling Author of multiple books — Youtility, Hug Your Haters, Talk Triggers, Baer Facts — major publisher anchors
PASS#1 Global Guru in Marketing, #2 in Customer Experience — heavily cited, independently verified third-party rankings
PASSAdvisor to 700+ brands including Nike, Oracle, UN, Caterpillar, Salesforce — deep institutional citation network
PASSForbes, Entrepreneur, Inc., Fast Company — regular media bylines and citations across major business press
PASSHall of Fame Speaker (National Speakers Association) — institutional peer-voted credibility anchor
WARNCitation split: convinceandconvert.com likely carries more domain-level links than jaybaer.com personal site
WARNNo .edu or governmental citations — unlike Rand Fishkin (DOJ, FTC) at a comparable authority tier
KEY GAP
Strong person-level citation network but link equity divided between jaybaer.com and convinceandconvert.com — reducing domain authority of the personal brand hub.
RECOMMENDED ACTION MEDIUM PRIORITY
Consolidate high-value speaking bio links and press mentions to jaybaer.com. Commission original CX or word-of-mouth research generating domain-level citations to jaybaer.com specifically.
D5Topical Authority ★ #1 IN DATABASE15% weight
✓ 6⚠ 1
91▶

Does the brand own a clearly defined topic cluster that AI systems recognize as THE go-to resource?

PASSAI systems reliably associate Jay Baer with customer experience, word of mouth marketing, and business growth
PASS'Youtility' coined and defined the category of helpful marketing — AI training data treats this as a definitive concept
PASS'Talk Triggers' defined word-of-mouth strategy as a formal business discipline — category-defining terminology
PASSSocial Pros podcast (400+ episodes, award-winning) — LLMs index transcripts as authoritative source material
PASSHuman.Kind keynote (2025/26) — timely AI-era positioning on human connection vs. automation fatigue
PASS50+ keynote presentations/year to audiences up to 6,000 at top global conferences — consistent institutional topical association
WARNTopical authority split between customer experience AND marketing strategy — two clusters may dilute AI citation specificity
KEY GAP
Topical authority is elite but split between two verticals. AI engines may not cite Jay as THE authority on either individually vs. the combined space.
RECOMMENDED ACTION LOW PRIORITY
Formalise Human.Kind as the unifying content pillar that bridges CX + marketing + AI era. Build dedicated content cluster on jaybaer.com around the Human.Kind framework and dataset.
D6Recency & Freshness10% weight
✓ 2⚠ 4
72▶

How consistently is the site updated? AI engines deprioritize stale content.

PASSjaybaer.com shows active content in 2025/2026 — keynote events, articles, and speaking topics updated
PASSSocial Pros podcast episodes published regularly — strong freshness signal for the Convince & Convert entity
WARNjaybaer.com personal site publishes sporadically — freshness signal primarily on convinceandconvert.com
WARNBlog post cadence on jaybaer.com is low — fewer than 12 substantive posts per year on personal site
WARNdateModified structured data not confirmed on jaybaer.com — freshness metadata unclear to AI crawlers
WARNEvergreen pages (About, Books, Speaking) appear static without refresh signals to AI crawlers
KEY GAP
Freshness signals live primarily on convinceandconvert.com and Social Pros — jaybaer.com personal site appears infrequently updated from AI crawler perspective.
RECOMMENDED ACTION MEDIUM PRIORITY
Establish 2 posts/week minimum on jaybaer.com. Republish Social Pros key insights as blog posts. Add dateModified JSON-LD to all pages immediately.
D7Trust Signals10% weight
✓ 5⚠ 2
85▶

E-E-A-T signals: named expert authors, credentials, editorial standards, institutional recognition, structured data for authorship.

PASSNYT Bestselling Author of 7 books — top-tier publication credibility across multiple titles and publishers
PASSHall of Fame Keynote Speaker (National Speakers Association) — institutional peer-voted recognition
PASS#1 Global Guru in Marketing, #2 in Customer Experience — third-party ranked, widely reproduced in citations
PASSAdvisor to 700+ brands, 31 of Fortune 500 — verified institutional client authority at scale
PASSFounder of 6 multi-million dollar companies, 7th-generation entrepreneur — verifiable track record
WARNNo Editorial Standards page on jaybaer.com — content process not formally disclosed
WARNAuthor schema on posts unconfirmed — credentials may not surface in structured data for AI ingestion
KEY GAP
Trust signals are elite at person level but not systematically encoded in structured data on jaybaer.com for AI knowledge graph ingestion.
RECOMMENDED ACTION LOW PRIORITY
Add full Person schema with knowsAbout, hasOccupation, award (Hall of Fame, Global Guru #1 rankings). Publish Editorial Standards / Research Methodology page on jaybaer.com.
PRIORITIZED ACTION PLAN — By Impact on Composite AI Visibility Score
High
D3
Deploy Person Schema + Enrich Wikidata Q6166361+5–7 pts21 days
No Person JSON-LD on jaybaer.com. Wikidata Q6166361 has only 'American writer' — nearly empty. Deploy comprehensive schema with sameAs, knowsAbout, hasOccupation, alumniOf. Enrich Wikidata with books, occupation, employer, awards. Highest-impact structural fix available in this audit.
High
D1
Resolve the Split-Domain Problem+4–6 pts60 days
jaybaer.com and convinceandconvert.com fragment Jay's AI entity signal. Establish jaybaer.com as the unambiguous canonical personal brand hub. Implement cross-domain sameAs schema linking on both sites. Consolidate key content to jaybaer.com with canonical tags from convinceandconvert.com.
Medium
D2
Build Human.Kind Content Pillar on jaybaer.com+4–5 pts60–90 days
Publish the Human.Kind framework as a structured content cluster on jaybaer.com — methodology posts, FAQ architecture, case studies, CX research data. Creates the long-form crawlable content the domain currently lacks and leverages the most timely keynote positioning.
Medium
D6
Establish 2×/Week Content Cadence on jaybaer.com+3–4 pts30 days
jaybaer.com appears infrequently updated to AI crawlers. 2 posts/week from Social Pros insights, keynote research, or CX data. Add dateModified JSON-LD to all existing pages immediately — fastest available freshness signal.
Medium
D4
Commission Original CX Research for Domain Citations+3–4 pts90 days
Annual 'State of Customer Experience' or 'Word of Mouth Marketing' research report published at jaybaer.com generates targeted domain-level citations from marketing media, shifting citation equity from convinceandconvert.com to the personal brand hub.
Low
D5
Formalise Human.Kind as Unifying Content Framework+2–3 pts45 days
Human connection vs. AI automation is a perfect AI-era topical authority play. Publish thought leadership posts and data studies around Human.Kind to cement topical ownership in the fastest-growing CX + AI category.
Low
D7
Editorial Standards Page + Full Author Schema+1–2 pts14 days
Publish Editorial Standards page on jaybaer.com. Add award (Hall of Fame Speaker, Global Guru #1), hasOccupation, knowsAbout to Person schema. Completes E-E-A-T profile for AI knowledge graph ingestion.
STRATEGIC SUMMARY & VERDICT
BIGGEST STRENGTH
Topical Authority #1
D5 · 91/100 · Highest in database · Youtility + Talk Triggers + Human.Kind
BIGGEST RISK
Split-Domain Structure
jaybaer.com + convinceandconvert.com fragment all AI entity signals
HIGHEST ROI FIX
Person Schema + Domain Unification
D3 + D1 · +9–13 pts in 60 days · Grade A within reach
Jay Baer / jaybaer.com is a Grade B, Citation Ready — the fifth influencer audited and the highest-scoring Grade B in the database at 81/100. His topical authority (D5 · 91/100) is the highest of any influencer audited so far, reflecting genuine category-defining impact across three decades: "Youtility" framed helpful marketing as a discipline, "Talk Triggers" defined word-of-mouth strategy as a formal framework, and "Human.Kind" positions Jay ahead of the AI-era curve on human connection vs. automation. 50+ keynotes/year to Fortune 500 audiences creates unmatched institutional topical association.

The defining vulnerability is the split-domain structure: jaybaer.com and convinceandconvert.com divide Jay's entity signal, content authority, and citation network. AI engines receive fragmented signals. Combined with no Person JSON-LD on jaybaer.com and a near-empty Wikidata entry (Q6166361 has only "American writer"), the structural gaps are entirely fixable in weeks — not months. These are technical gaps, not influence gaps. Projected post-fix score: 87–90/100 — Grade A, Answer Authority territory within 60 days, making Jay Baer the third Grade A in the IdeaLab database.
CATEGORY BENCHMARK — Digital Marketing / CX Influencers (5 Formally Audited)
Neil Patel (neilpatel.com) NP-001
91
Rand Fishkin (sparktoro.com) NP-003
87
Jay Baer (jaybaer.com) NP-005 ◀ THIS AUDIT
81
Gary Vaynerchuk (garyvaynerchuk.com) NP-002
79
Ann Handley (annhandley.com) NP-004
77
Category Average
55

* NP-001 through NP-005 are formally audited. Category Average is an IdeaLab estimate.

DATABASE RECORD — IdeaLab AI Visibility Score Database
entity_idNP-005
categoryInfluencer — CX / Word of Mouth / Marketing Strategy
entity_nameJay Baer
primary_domainjaybaer.com
secondary_domainconvinceandconvert.com
audit_date2026-06-16
frameworkIdeaLab AI Visibility OS v1.1
composite_score81
gradeB — Citation Ready
D1_brand_clarity86
D2_content_depth78
D3_entity_recognition74 ⚠ No Person schema; Wikidata nearly empty
D4_citation_network83
D5_topical_authority91 ★ Highest in IdeaLab database
D6_recency_freshness72
D7_trust_signals85
top_gapSplit-domain (jaybaer.com / convinceandconvert.com) + no Person schema on jaybaer.com
top_actionDeploy Person JSON-LD + establish jaybaer.com as canonical personal brand hub
projected_score87–90 (post action plan, 60 days) — Grade A
public_urlidea-lab.ai/audits/jay-baer
AI VISIBILITY SCORE DATABASE
Explore 60 Scores Across 3 Categories
Top 20 Influencers · Top 20 Brands · Top 20 Ecommerce Sites
View Full Database →
AI Visibility Score Breakdown

How This Score And Grade Are Calculated

Every IdeaLab audit uses the AI Visibility OS v1.1 — a seven-dimension framework that measures how discoverable, citable, and trustworthy an entity is to answer engines like ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini. Each dimension is scored 0–100, multiplied by its weight, and summed into a composite 0–100 score. The composite maps to a letter grade that describes AI-answer behavior for the entity's core queries.

D1 · BRAND CLARITY
WEIGHT ×1.0 · 10%

Consistent, unambiguous naming and positioning across owned surfaces. AI engines cite entities that resolve to a single canonical identity.

D2 · CONTENT DEPTH
WEIGHT ×2.0 · 20%

Long-form, first-hand, evidence-rich content on owned domains. Depth is the largest single driver of LLM citation frequency.

D3 · ENTITY RECOGNITION
WEIGHT ×1.5 · 15%

Presence in knowledge graphs — Wikipedia article, Wikidata QID, Google Knowledge Panel, sameAs coverage. Anchors the entity for AI retrieval.

D4 · STRUCTURED KNOWLEDGE
WEIGHT ×2.0 · 20%

Schema.org JSON-LD coverage: Organization, Person, Article, Product, aggregateRating, FAQPage, BreadcrumbList. Machine-readable = AI-citable.

D5 · MULTI-PLATFORM PRESENCE
WEIGHT ×1.5 · 15%

Verified accounts and consistent identity across YouTube, LinkedIn, X, Instagram, TikTok, GitHub, Substack, podcasts. Cross-surface coherence lifts AI confidence.

D6 · SOCIAL PROOF & CITATIONS
WEIGHT ×2.0 · 20%

Independent third-party citations: press, podcasts, academic references, high-authority backlinks, reviews. The corroboration layer AI engines weigh above self-claims.

D7 · AI DISCOVERABILITY
WEIGHT ×1.0 · 10%

AI-crawler posture: robots.txt policy for GPTBot / ClaudeBot / PerplexityBot / Google-Extended, llms.txt policy file, canonical URLs, sitemap freshness, dateModified hygiene.

COMPOSITE FORMULA
Score = (D1×0.10) + (D2×0.20) + (D3×0.15) + (D4×0.20) + (D5×0.15) + (D6×0.20) + (D7×0.10)

The two heaviest weights — D2 Content Depth and D4/D6 Structured Knowledge and Citations — reflect the empirical drivers of AI answer inclusion. D3 Entity Recognition acts as a ceiling: without Wikipedia and Wikidata anchoring, most audits cap at Grade B regardless of the other six dimensions.

GRADE SCALE
A · 85–100
Answer Authority — AI engines cite the entity by default
B · 70–84
Citation Ready / Strong — cited when prompted specifically
C · 60–69
Moderate / Legacy Mode — inconsistent AI visibility
D · 50–59
At Risk — rarely surfaced without exact-name prompts
F · <50
Invisible — no reliable citation surface for AI answers

The per-dimension scores and weighted contributions for this specific audit are shown in the scoring table above. The Top Gap and Top Action highlighted on this page correspond to the lowest-scoring high-weight dimensions — the fixes with the largest projected uplift to the composite score.

Score Methodology FAQ

Frequently Asked Questions About The AI Visibility Score

What is the AI Visibility Score?
The AI Visibility Score is a 0–100 composite metric produced by IdeaLab's AI Visibility OS v1.1 framework. It measures how discoverable, citable, and trustworthy an entity — a brand, creator, product, or expert — is to generative answer engines such as ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini. Higher scores correlate with more frequent and more confident AI citations for the entity's core queries.
How is the score calculated?
Each of the seven dimensions (D1–D7) is scored 0–100, multiplied by its weight, and summed. The formula is: Score = (D1 × 0.10) + (D2 × 0.20) + (D3 × 0.15) + (D4 × 0.20) + (D5 × 0.15) + (D6 × 0.20) + (D7 × 0.10). Content Depth (D2), Structured Knowledge (D4), and Social Proof & Citations (D6) carry the largest weights because they are the empirical drivers of AI citation behavior.
What do the letter grades A through F mean?
Grade A (85–100) is Answer Authority — AI engines cite the entity by default. Grade B (70–84) is Citation Ready — cited when prompted specifically. Grade C (60–69) is Moderate / Legacy Mode with inconsistent AI visibility. Grade D (50–59) is At Risk — rarely surfaced without exact-name prompts. Grade F (below 50) is Invisible — no reliable citation surface for AI answers.
Why does Entity Recognition (D3) act as a ceiling?
Without a Wikipedia article, a Wikidata QID, and consistent sameAs coverage across owned surfaces, AI engines cannot reliably resolve the entity to a single canonical identity. In practice this caps most audits at Grade B regardless of how strong the other six dimensions are, because the retrieval layer that grounds AI answers depends on knowledge-graph anchoring.
What is the difference between the Top Gap and the Top Action?
The Top Gap is the single lowest-scoring high-weight dimension for the audited entity — the diagnosis. The Top Action is the concrete, prioritized fix that addresses that gap and delivers the largest projected uplift to the composite score. Together they turn a static score into an execution roadmap.
How often is an AI Visibility Score refreshed?
IdeaLab audits are refreshed when the entity ships meaningful changes — a Wikipedia article goes live, new JSON-LD schema is deployed, an llms.txt is published, or major press citations land — and on a rolling quarterly cadence to capture drift in AI-crawler policy, knowledge-graph coverage, and citation surface.

Closest matches by category, keyword overlap, and AI Visibility Score — all scored on the same 7-dimension framework.

TRIPLE HALL OF FAME
Seth Godin 84/100 · B
21 bestsellers. Triple Marketing Hall of Fame inductee. D5 Topical Authority 95/100 — highest in IdeaLab database. 1 point from Grade A. 10,000 blog…
NYT WEB MARKETING GURU
Marcus Sheridan 81/100 · B
Largest authority/score gap in the database. NYT, Forbes, USA Today bestseller, HubSpot UNBOUND 2026. Four entity contexts with no sameAs linking.
UNIVERSITY TEXTBOOK
Andy Crestodina 82/100 · B
Co-founder & CMO Orbit Media Studios. Content Chemistry 7th edition used as university textbook. Annual Blogger Survey — 11 consecutive years, the…

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