27,000+
Growth Memo subscribers — weekly research-backed essay on SEO, organic growth, and AI-driven search for senior marketing leaders
8
Named advisory clients confirmed in public materials: Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, Nextdoor
3
Former in-house SEO/Growth leadership roles at category-defining companies — Shopify, G2, Atlassian
2
Simultaneous columnist placements — Search Engine Journal AND Search Engine Land, an unusually rare dual-masthead arrangement
🔬 THE AI VISIBILITY RESEARCHER STUDYING THE EXACT FRAMEWORK THIS AUDIT USES
Kevin Indig's July 2026 content output is a genuinely unusual case for an AI Visibility OS audit: he is one of the field's most active original-research practitioners studying the very discipline this framework measures. Confirmed recent work includes an analysis of 846,000 anonymized U.S. user sessions on cursor movement and scroll behavior in AI Overviews, an analysis of 200 GPT-5.2 responses examining how reasoning depth affects citation behavior, a cross-LLM study of "citation and mention behavior" across four different models, and a proprietary "AI Visibility Ladder" framework — three rungs (leading indicators, quality guardrails, lagging indicators) built directly from his advisory work with Airbnb, Asana, and Xero. He has also published research finding that primary/original research earns 3.3x more AI citations per page than other content types — a finding this very audit series treats as a working assumption. This creates an unusually reflexive audit: Kevin Indig's own published research is, in effect, a peer-reviewed commentary on the discipline IdeaLab's AI Visibility OS operationalizes.
OVERALL AI VISIBILITY SCORE
AI VISIBILITY
71
/100
BSTRONG ZONE
SCORE SCALE
F0–49Critical
D50–59High Risk
C60–69Moderate
B70–84Strong ← Kevin
A85–100Dominant
DIMENSION SCORES
D5Multi-Platform Presence76
D6Social Proof & Citations85
| DIMENSION | WT | SCORE | GRADE |
|---|
| D1 Brand Clarity | ×1.5 | 80 | B |
| D2 Content Depth | ×1.5 | 88 | A |
| D3 Entity Recognition | ×2.0 | 44 | F |
| D4 Structured Knowledge | ×2.0 | 54 | C |
| D5 Multi-Platform | ×1.5 | 76 | B |
| D6 Social Proof | ×2.0 | 85 | A |
| D7 AI Discoverability | ×2.0 | 75 | B |
| COMPOSITE SCORE | 71 | B |
Kevin Indig is an organic growth advisor and the author of Growth Memo, a research-backed newsletter reaching 27,000+ senior marketing leaders. He led SEO and Growth at three category-defining companies — Shopify, G2, and Atlassian — before becoming an independent advisor to Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, and Nextdoor. He scores 71/100 — Grade B, Strong Zone — driven by exceptional content depth (D2: 88/100, reflecting simultaneous dual columnist placements at Search Engine Journal and Search Engine Land plus weekly original research) and a genuinely elite client/institutional citation profile (D6: 85/100). His score is held back by the same pattern seen across several personalities in this database's Wikipedia gap cluster: D3 Entity Recognition (44/100) is the weakest dimension, with no confirmed Wikipedia article or Wikidata entity despite a decade-plus career at the center of the SEO and organic growth discipline.
THREE PROFILE-DEFINING FINDINGS
★ D2: 88/100 — A rare dual-masthead columnist arrangement plus weekly original research
Kevin Indig simultaneously publishes as a named columnist at both Search Engine Journal and Search Engine Land — two of the most-cited independent publications in the SEO discipline, and typically competitive rather than complementary platforms. Layered on top of this is the weekly Growth Memo essay and a steady cadence of genuine primary research (846,000-session clickstream analysis, 200-response GPT-5.2 study, cross-LLM citation behavior analysis). This combination of dual-masthead syndication plus original data collection is one of the deepest content profiles in the IdeaLab personality database.
⚠ D3: 44/100 — No Wikipedia, no Wikidata, despite 10+ years at the center of the discipline
Kevin Indig has no Wikipedia article and no confirmed Wikidata entity. His entity presence rests on LinkedIn (his self-described primary platform: "mostly active on Linkedin"), a Crunchbase person profile, and consistent author bio pages across Search Engine Journal, Search Engine Land, and his own kevin-indig.com. This is the same Wikipedia-gap pattern this database has identified across nearly every growth-marketing and SEO personality audited — Andy Crestodina, Tim Soulo, Aleyda Solis, Lily Ray — reinforcing that this is a structural blind spot across the entire discipline, not an individual oversight.
✦ D6: 85/100 — An unusually concentrated, high-quality logo roster for an independent advisor
Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, and Nextdoor are all named, publicly confirmed advisory clients — a roster of category-leading consumer and B2B SaaS brands that few independent growth advisors can match. Combined with the pedigree of leading SEO/Growth at Shopify, G2, and Atlassian in-house before going independent, this creates an institutional credibility profile that is both broad (multiple household-name logos) and deep (direct operating leadership, not just consulting).
7-DIMENSION BREAKDOWN — CLICK TO EXPAND
D1
Brand Clarity
wt ×1.5
80/100 · B"GROWTH MEMO" + "AI VISIBILITY LADDER" ANCHORS
80/100
▶
Brand Clarity scores how unambiguously an AI model identifies this entity. Kevin Indig scores 80/100. His surname is distinctive enough to carry low disambiguation risk, and his professional positioning — "organic growth advisor," author of Growth Memo, former SEO/Growth leader at Shopify/G2/Atlassian — is used with high consistency across every platform and publication where he appears.
✔"Kevin Indig" carries low disambiguation risk — a distinctive surname with no meaningful competing public figures: Unlike common-surname personalities in this database, "Indig" has essentially no competing usage, meaning AI systems resolving the name face little ambiguity, similar in structural advantage to Aleyda Solis or Lily Ray's name clarity.
✔"Growth Memo" — a consistently branded, trademark-style newsletter name used identically across Substack, his own site, and every bio reference: "Growth Memo" functions as a genuine sub-brand distinct from his personal name, appearing identically across growth-memo.com, kevin-indig.com, and every third-party bio (Search Engine Journal, Search Engine Land, GrowthMentor). This consistent naming creates a second, reinforcing entity anchor.
✔"AI Visibility Ladder" — a coined framework name with genuine differentiating potential: The three-rung framework (leading indicators, quality guardrails, lagging indicators) is a distinctly named methodology, structurally similar in kind (though earlier-stage in adoption) to how "conversion copywriting" anchors Joanna Wiebe's brand clarity. If consistently reinforced, this could become an additional disambiguation and category-ownership anchor.
△Job title has changed multiple times across a multi-company career, creating minor historical-reference fragmentation: Author bios across different publications and dates variously describe him as "Director of SEO @Shopify," "SEO Director at Shopify," or simply "organic growth advisor" — reflecting his actual career progression but creating some inconsistency in how older content describes his role versus his current independent-advisor positioning.
✦ STRENGTH
Low-disambiguation surname plus two consistently reinforced sub-brands ("Growth Memo," "AI Visibility Ladder") gives Kevin Indig a stronger-than-average D1 foundation among independent growth/SEO personalities in this database.
→ ACTION
Add Person JSON-LD to kevin-indig.com and growth-memo.com declaring alumniOf (Shopify, G2, Atlassian, each with sameAs), knowsAbout including "AI Visibility Ladder," and consistent jobTitle: "Organic Growth Advisor" across both domains.
D2
Content Depth
wt ×1.5
★ 88/100 · A — DUAL MASTHEAD + ORIGINAL RESEARCHSEJ + SEL + GROWTH MEMO + PODCAST
88/100
▶
Content Depth scores volume, specificity, and crawlability of owned and attributed content. Kevin Indig scores 88/100 — the strongest dimension in this audit and among the highest D2 scores in the entire personality database. The combination of dual-masthead syndicated columns, a weekly independent newsletter, a co-hosted podcast, and a steady cadence of genuinely original primary research creates an unusually deep and diversified content corpus.
✔Simultaneous named columnist at both Search Engine Journal and Search Engine Land — a rare dual-masthead arrangement in a typically competitive publication landscape: Confirmed, dated bylines run through July 2026 at both outlets, each independently indexed at high-DA domains. This is structurally similar to how Andy Crestodina's Forbes Agency Council placement adds external content attribution beyond his own site — except doubled, across two of the discipline's most-cited trade publications simultaneously.
✔Genuine primary research — 846,000-session clickstream analysis, 200-response GPT-5.2 study, cross-LLM citation behavior analysis: Confirmed research includes a mouse-cursor and scroll-behavior analysis across 846,000 anonymized U.S. Google Search sessions (captured at 1-second intervals via a data partnership with Positive Surfer), and an analysis of 200 GPT-5.2 responses examining how reasoning depth correlates with citation volume and source diversity. This is genuinely original, methodologically specific data collection — not aggregated commentary — the exact content type his own published research identifies as earning 3.3x more AI citations per page.
✔Weekly Growth Memo essay — a decade-plus-running, consistently published newsletter that evolved from curated links into original long-form essays: Kevin has publicly described the newsletter's own evolution ("in the beginning, it was just a list of curated articles... now it's a weekly essay") and treats it explicitly "like a software product" with ongoing audience research — reflecting a genuinely product-minded, iterative approach to content quality rather than a static publishing habit.
✔Contrarian Marketing podcast, co-hosted with Eli Schwartz — a second, differently-formatted content channel with an independently notable co-host: Eli Schwartz is himself a recognised SEO/growth author (Product-Led SEO), meaning the podcast creates a content asset with built-in cross-audience reinforcement between two established growth-marketing voices.
✦ DATABASE-LEADING D2 PROFILE
The combination of dual-masthead syndication, weekly original essays, genuine primary research with disclosed methodology, and a co-hosted podcast gives Kevin Indig one of the deepest, most diversified content profiles of any personality audited — comparable to Andy Crestodina's 92/100 record-holding D2 in structure, if not yet in tenure.
→ ACTION
Add Article/ScholarlyArticle JSON-LD to the primary research pieces (clickstream study, GPT-5.2 analysis) on growth-memo.com, explicitly declaring methodology, sample size, and data-partnership sourcing (Positive Surfer) as structured properties — reinforcing the "genuine primary research" signal machine-readably.
D3
Entity Recognition
wt ×2.0
44/100 · F — WEAKEST DIMENSIONNO WIKIPEDIA · NO WIKIDATA
44/100
▶
Entity Recognition scores Wikipedia, Wikidata, and knowledge graph presence. Kevin Indig scores 44/100 — the weakest dimension in this audit, and consistent with a pattern this database has now identified across nearly every SEO and growth-marketing personality: no Wikipedia article, no Wikidata entity, despite a career spanning leadership roles at three major technology companies and advisory relationships with eight more.
✔Crunchbase person profile — confirmed structured business-entity record: A Crunchbase profile for "Kevin Indig - Director of SEO @ Shopify" exists, creating a minimal structured business-database entity, though the title reflects a past role rather than his current independent-advisor positioning.
✔LinkedIn as a confirmed, actively maintained primary professional identity: Kevin's own X/Twitter bio explicitly states he is "mostly active on Linkedin" — and his LinkedIn presence is confirmed active with substantive, dated posts on AI visibility research, conference appearances, and client work references (Airbnb, Asana, Xero explicitly named in LinkedIn content).
✗No Wikipedia article — despite leadership roles at Shopify, G2, and Atlassian and an advisory client roster spanning Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, and Nextdoor: This is a notability profile that plausibly exceeds several personalities already in this database without Wikipedia (Tim Soulo, Andy Crestodina, Aleyda Solis) — the breadth and household-name recognisability of the advisory client list is a genuine Wikipedia notability signal that has not yet been converted into an article.
✗No Wikidata entity — the lowest-cost, highest-leverage fix available in this audit: As with every other personality in this database's Wikipedia-gap cluster, Wikidata has a lower notability threshold than Wikipedia itself, and the existing published bio material (career history, named employers, named clients, publication bylines) already provides more than sufficient sourcing for a Wikidata entity to be created today.
◆ CRITICAL GAP
D3 of 44/100 is the lowest dimension in this audit, and carries ×2.0 weight — meaning it is the single highest-leverage dimension to address. No Wikipedia, no Wikidata, despite career and client credentials that plausibly clear both bars.
→ ACTIONS
Today: Create Wikidata entity — P106 (occupation: business consultant, marketer), P108 (employer history: Shopify, G2, Atlassian), P800 (notable work: Growth Memo), P856 (kevin-indig.com)This quarter: Draft Wikipedia article using existing Search Engine Journal/Search Engine Land bylines, Crunchbase profile, and named client relationships as independent secondary sources
D4
Structured Knowledge
wt ×2.0
54/100 · CRESEARCH CONTENT UNSTRUCTURED · NO LLMS.TXT
54/100
▶
Structured Knowledge scores schema markup completeness and AI crawl signals. Kevin Indig scores 54/100 — moderate, and notably lower than his D2 content quality would suggest. Given that Kevin's own published research explicitly studies how AI systems extract and cite structured content, the absence of confirmed advanced schema on his own properties is a meaningful, somewhat ironic gap.
✔Growth-memo.com runs on Substack, which provides baseline Article/BlogPosting schema by platform default: Substack's platform-level schema implementation gives every Growth Memo post baseline structured markup (headline, author, datePublished) without requiring custom development — a reasonable structural floor.
✔Search Engine Journal and Search Engine Land author pages provide structured, consistent author-attribution pages at high-DA domains: Both publications maintain dedicated author archive pages with consistent bylines and publication dates, creating structured external content attribution beyond Kevin's own properties.
✗No confirmed Person JSON-LD on kevin-indig.com declaring career history, advisory clients, or sameAs links: Given the strength of the underlying bio material (named employers, named clients, coined framework), the personal site would benefit significantly from explicit Person schema making this machine-readable rather than requiring AI systems to parse it from prose.
✗No confirmed LLMs.txt on either kevin-indig.com or growth-memo.com — a notable gap given his own research focus on AI content extraction: Kevin's own published work argues that "structure determines whether AI cites" a page. Applying an LLMs.txt to his own properties — prioritising the primary research pieces, the AI Visibility Ladder framework explainer, and top Growth Memo essays — would be a direct, self-consistent application of his own published findings.
✗Original research methodology (sample sizes, data partnerships, confidence intervals) not confirmed as structured data: The clickstream study (846,000 sessions) and GPT-5.2 analysis (200 responses) contain exactly the kind of specific, structured, citable data points AI systems favour for extraction — but without Dataset or ScholarlyArticle schema explicitly encoding sample size, methodology, and data source, this remains locked in prose rather than structured, directly extractable data.
◆ GAPS
No Person JSON-LD on kevin-indig.comNo LLMs.txt on either primary domainOriginal research not encoded as structured Dataset/ScholarlyArticle schemaNo Wikidata entity (compounds with D3)→ ACTIONS
Deploy Person JSON-LD on kevin-indig.com with full career/client/framework propertiesAdd Dataset schema to primary research posts declaring sample size, methodology, and data partnership sourceCreate LLMs.txt on both domains prioritising research pieces and the AI Visibility Ladder framework page
D5
Multi-Platform Presence
wt ×1.5
76/100 · BLINKEDIN-CONCENTRATED · DUAL COLUMNIST · CONFERENCE CIRCUIT
76/100
▶
Multi-Platform Presence scores distribution across channels where AI models train and retrieve. Kevin Indig scores 76/100 — solid, reflecting a deliberately concentrated rather than broadly spread platform strategy: LinkedIn as the clear primary channel, reinforced by dual trade-publication columns, a podcast, and an active conference speaking circuit, with X/Twitter explicitly treated as secondary.
✔LinkedIn as a confirmed, high-engagement primary platform with substantive, research-forward posts: Confirmed LinkedIn content includes detailed breakdowns of the AI Visibility Ladder framework, named client work summaries (Airbnb, Asana, Xero), and conference promotion (Spotlight conference, London, October 2026) — reflecting an actively maintained, strategically used channel rather than passive presence.
✔Dual syndicated columns at Search Engine Journal and Search Engine Land function as a distribution platform independent of his own properties: Each publication has its own established reader base and social distribution, meaning Kevin's content reaches audiences who may never visit growth-memo.com or kevin-indig.com directly.
✔Contrarian Marketing podcast — a distinct audio-format platform with an independently established co-host: Co-hosting with Eli Schwartz creates cross-pollination between two established growth-marketing audiences, and podcast platforms (Apple Podcasts, Spotify, etc.) create additional independently indexed platform presence.
✔Active international conference speaking circuit — confirmed Spotlight conference (London, October 2026) among likely others: Described in his own bio as having "spoken in front of thousands of people at conferences around the globe," with a confirmed current appearance at Spotlight — each conference typically generates its own indexed speaker-bio page, a distributed citation pattern.
△X/Twitter explicitly de-prioritised — his own bio states "mostly active on Linkedin": This is a deliberate strategic choice rather than an oversight, but it does mean Kevin's platform footprint is more concentrated than, for example, Aleyda Solis's seven-platform presence (D5: 94/100) — a legitimate resourcing trade-off rather than a gap requiring correction.
✦ DEPTH-OVER-BREADTH STRATEGY
Kevin's platform strategy mirrors a deliberate B2B-focused concentration: LinkedIn as primary, reinforced by trade-publication syndication and a conference circuit, rather than broad consumer-social presence. This is a reasonable strategic fit for his senior-marketing-leader audience.
→ MARGINAL OPPORTUNITY
Ensure Organization/Person schema captures the full sameAs array (LinkedIn, Search Engine Journal author page, Search Engine Land author page, podcast platforms) so AI systems can structurally confirm the cross-platform presence rather than inferring it.
D6
Social Proof & Citations
wt ×2.0
★ 85/100 · A — ELITE CLIENT ROSTERSHOPIFY · G2 · ATLASSIAN · AIRBNB · ASANA · XERO
85/100
▶
Social Proof & Citations scores quality and authority of third-party references. Kevin Indig scores 85/100 — one of the strongest in the personality database, driven by an unusually concentrated, high-quality institutional profile: named in-house leadership at three major technology companies, followed by an advisory client roster of eight additional household-name brands.
✔Named in-house leadership at Shopify, G2, and Atlassian — "the world's leading e-commerce platform," "the #1 marketplace for software," and "the #1 productivity company" per his own confirmed bio framing: These are not consulting engagements but direct operating leadership roles (Director of SEO and Growth), each independently verifiable and creating a career-history citation of substantial weight.
✔Eight named advisory clients spanning consumer and B2B SaaS: Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, Nextdoor: This is an unusually broad and recognisable roster for an independent advisor — most growth/SEO consultants in this database's comparison set (Andy Crestodina, Tim Soulo) do not have a client list with this density of globally recognised consumer-facing brand names.
✔Direct testimonial citations from named client relationships — Ramp specifically credits him with building a "multi-million Dollar pipeline channel": Confirmed testimonial language states Kevin "was instrumental in kicking off Ramp's SEO efforts... that brought SEO to a multi-million Dollar pipeline channel" and was "a critical part of the hiring and onboarding of our full-time SEO leadership" — a specific, outcome-attributed citation rather than generic praise.
✔Angel investor status adds a distinct citation category beyond advisory/operating work: Being confirmed as an angel investor places Kevin in a category of financial as well as strategic stakeholder relationships with growth-stage companies — a citation type distinct from, and additive to, his advisory and in-house operating history.
✦ ELITE CONCENTRATED CITATION PROFILE
Few independent advisors in this database combine three major in-house leadership roles with eight household-name advisory clients simultaneously. This concentration of high-quality logos, rather than sheer volume of press mentions, is what drives Kevin's D6 score into the database's upper tier.
→ ACTION
Encode the full client and employer roster in Organization/Person JSON-LD using the alumniOf and a custom client/knowsAbout pattern, and pursue the Wikipedia article (D3) using this exact roster as the core notability case — it is likely the strongest evidentiary basis available.
D7
AI Discoverability
wt ×2.0
75/100 · BDOMINANT FOR "AI VISIBILITY MEASUREMENT" QUERIES
75/100
▶
AI Discoverability scores how reliably Kevin Indig surfaces in AI-generated responses for his target queries. He scores 75/100 — strong, reflecting genuine category leadership in the specific, fast-growing query space of "AI visibility measurement" and "organic growth strategy," while trailing the database's top scorers due to the D3 entity-recognition gap limiting confidence on personal-identity queries specifically.
✔Strong retrieval for "AI visibility measurement," "AI visibility framework," and "AI Overviews research" queries — a query category he is actively defining through original research: As one of the few practitioners publishing methodologically specific primary research on AI search behavior (clickstream analysis, cross-LLM citation studies), Kevin's content is well-positioned for AI systems retrieving current, data-backed answers on this exact topic.
✔Reliable for "organic growth strategy" and "SEO leadership" queries given the dual-masthead columnist presence: The combination of Search Engine Journal and Search Engine Land bylines — both high-DA, frequently-crawled domains in the SEO/marketing space — creates strong repeated-source reinforcement for organic growth and SEO strategy queries.
✔Growth Memo itself functions as a recognised, citable source within the SEO/growth community — reinforced by third-party praise ("among the very few newsletters that I never miss"): Independent endorsement language describing Growth Memo's "signal-to-noise ratio" as superior to the broader SEO content landscape reinforces its retrieval-worthiness as a trusted source for AI systems synthesising organic growth topic queries.
△"Who is Kevin Indig" identity queries are less confident than topic-authority queries, directly reflecting the D3 gap: AI systems answering direct biographical queries must reconstruct identity from LinkedIn, Crunchbase, and scattered author bios without a Wikipedia anchor — the same pattern limiting D7 for every personality in this database's Wikipedia-gap cluster. Topic-authority queries ("who studies AI visibility measurement") outperform identity queries ("who is Kevin Indig") as a direct consequence.
✦ CATEGORY LEADERSHIP IN AN EMERGING QUERY SPACE
Kevin Indig is positioned similarly to how Tim Soulo owns "AI search data" queries at Ahrefs — except independently, without institutional backing. The "AI visibility measurement" and "AI Visibility Ladder" query space is newly forming in 2026, giving Kevin a genuine first-mover retrieval advantage as AI systems ingest 2026 training data.
→ ACTION
Prioritise the D3 Wikidata/Wikipedia fix — it directly addresses the identity-query weakness that is the clearest, most fixable gap between Kevin's strong topic-authority D7 performance and a database-leading score.
CONFIRMED STRENGTHS vs. CONFIRMED GAPS
✔ CONFIRMED STRENGTHS
✔Growth Memo — 27,000+ subscribers, weekly research-backed essay
✔Simultaneous columnist at Search Engine Journal AND Search Engine Land — rare dual-masthead arrangement
✔Former Director of SEO & Growth at Shopify, G2, and Atlassian — direct operating leadership, not consulting
✔8 named advisory clients: Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, Nextdoor
✔Genuine primary research — 846,000-session clickstream study, 200-response GPT-5.2 analysis
✔Coined "AI Visibility Ladder" framework — three-rung methodology from real advisory work
✔Contrarian Marketing podcast, co-hosted with Eli Schwartz
✔Named testimonial: Ramp credits him with a "multi-million Dollar pipeline channel"
✔Active international conference speaker (confirmed: Spotlight, London, Oct 2026)
✔Angel investor — an additional citation category beyond advisory work
✗ CONFIRMED MISSING
✗No Wikipedia article — despite a career and client roster that plausibly clears notability thresholds already met by other Wikipedia-less personalities in this database
✗No Wikidata entity — lowest-cost, highest-leverage fix given the ×2.0 weight on D3
✗No Person JSON-LD confirmed on kevin-indig.com
✗No LLMs.txt on kevin-indig.com or growth-memo.com — notable given his own research on AI content extraction
✗Original research not encoded as structured Dataset/ScholarlyArticle schema
✗No Google Knowledge Panel — dependent on Wikidata/Wikipedia creation
✗X/Twitter presence minimal by his own admission — deliberate but leaves one fewer redundant platform anchor
PRIORITISED ACTION PLAN — PATH FROM 71 TO 85+
P1D3
Create a Wikidata entity for Kevin Indig — the highest-leverage fix in this audit
+18–20 pts on D3
2 hours · today
The existing published bio material — three named in-house employer roles (Shopify, G2, Atlassian), eight named advisory clients, dual-publication columnist bylines, and the Growth Memo newsletter itself — already provides more than sufficient sourcing to create a Wikidata entity today. Populate: P106 (occupation: business consultant / marketer), P108 (employer history with dates: Shopify, G2, Atlassian), P800 (notable work: Growth Memo newsletter), P856 (kevin-indig.com), sameAs-equivalent identifiers for LinkedIn and Crunchbase. This is the single lowest-effort, highest-return action available given D3's ×2.0 framework weight.
P2D3
Draft and submit a Wikipedia article using the existing client roster and career history as the notability case
+22–26 pts on D3 · cascades to D6, D7
This quarter
The notability case is genuinely strong: named leadership roles at three major public/well-known technology companies, an advisory roster of eight household-name brands with a specific, quantified testimonial (Ramp's "multi-million Dollar pipeline channel"), dual syndicated columns at two independent trade publications, and original, methodologically disclosed research. Article structure: early career and entry into SEO, in-house leadership progression (Atlassian → G2 → Shopify), transition to independent advisory work, Growth Memo's growth and evolution, the Contrarian Marketing podcast, and the AI Visibility Ladder framework. Reference the Search Engine Journal and Search Engine Land author archives, named client testimonials, and any independent conference program listings as secondary sources.
P3D4
Deploy Person JSON-LD on kevin-indig.com and LLMs.txt across both primary domains
+14–16 pts on D4
1 week
Add Person JSON-LD declaring jobTitle: "Organic Growth Advisor", alumniOf (Shopify, G2, Atlassian), knowsAbout (organic growth, SEO, AI visibility, AI Visibility Ladder), and full sameAs array (LinkedIn, Search Engine Journal author page, Search Engine Land author page, Crunchbase, growth-memo.com, once created: Wikidata). Deploy LLMs.txt on both kevin-indig.com and growth-memo.com prioritising the AI Visibility Ladder framework explainer, the primary research pieces (clickstream study, GPT-5.2 analysis), and the About page — a direct, self-consistent application of his own published findings on AI content extraction.
P4D2 · D4
Encode primary research as structured Dataset/ScholarlyArticle schema
+4–6 pts on D2 · +6–8 on D4
2–3 weeks
Add Dataset or ScholarlyArticle JSON-LD to the clickstream study (846,000 sessions) and GPT-5.2 analysis (200 responses) pieces, explicitly declaring sampleSize, measurementTechnique, and dataset source (Positive Surfer partnership). This makes the specific, citable data points AI systems favour for extraction directly machine-readable, rather than requiring parsing from prose — a concrete implementation of his own published thesis that structured original research earns disproportionately more AI citations.
BENCHMARK — KEVIN INDIG vs. FULL IDEALAB PERSONALITY DATABASE
Aleyda Solis · International SEO + AI Search86
Lily Ray · SEO / AI Search Expert84
Andy Crestodina · Content Marketing82
Tim Soulo · Ahrefs CMO / AI Search Research81
Joanna Wiebe · Conversion Copywriting Founder76
Kevin Indig · Organic Growth / AI Visibility Research ◀ THIS AUDIT71
Katelyn Bourgoin · "Customer Whisperer" / Newsletter71
Kevin Indig · POST-WIKIDATA + WIKIPEDIA PROJECTION87+
* IdeaLab AI Visibility OS v1.1. Kevin Indig scores 71/100 — Grade B, tied with Katelyn Bourgoin among the personality database's mid-tier B-grade entities, and positioned just below Joanna Wiebe (76). His D2 (88) and D6 (85) scores individually rank among the strongest in the entire database — comparable to or exceeding Andy Crestodina and Tim Soulo on those specific dimensions. The gap to the database's top tier (Aleyda Solis 86, Lily Ray 84, Andy Crestodina 82) is concentrated almost entirely in D3 (44) and D4 (54) — the same Wikipedia/Wikidata/schema gap pattern this database has now identified across nearly every SEO and growth-marketing personality audited. Closing the Wikidata + Wikipedia gap alone projects Kevin Indig into the database's top tier, given the exceptional strength already present in D2 and D6.
AUDIT VERDICT
Kevin Indig scores 71/100 — Grade B, Strong Zone — a profile defined by genuinely elite content depth and institutional credibility, held back by the same Wikipedia/Wikidata gap this database has now identified across nearly every SEO and growth-marketing personality audited. His D2 Content Depth (88/100) and D6 Social Proof (85/100) are individually among the strongest scores in the entire IdeaLab personality database — the product of a career that moved from in-house SEO/Growth leadership at Shopify, G2, and Atlassian into independent advisory work for Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, and Nextdoor, combined with a rare simultaneous dual-columnist arrangement at Search Engine Journal and Search Engine Land, and — distinctively among the personalities audited so far — genuine, methodologically disclosed primary research into the exact discipline this framework measures.
There is a specific irony worth naming: Kevin Indig has published research finding that original, structured research earns 3.3x more AI citations than other content — and his own primary research is not yet encoded in the structured schema that would make this thesis self-fulfilling on his own properties. No Wikipedia article. No Wikidata entity. No confirmed Person JSON-LD on kevin-indig.com. No LLMs.txt on either of his primary domains. Given a client roster and career history that plausibly clears the Wikipedia notability bar already met by several lower-scoring personalities in this database, this is the clearest, most addressable gap in the audit.
The path from 71 to 85+ is concentrated and direct: create the Wikidata entity today (2 hours), draft and submit a Wikipedia article this quarter using the existing named-client and named-employer roster as the notability case, and deploy Person JSON-LD plus LLMs.txt across both primary domains. Given the exceptional underlying strength already present in D2 and D6, closing the D3 gap alone would likely place Kevin Indig in the database's top tier — a rare case where the fix is not building new credibility, but simply making credibility that already exists machine-readable.
AUDIT DATABASE RECORD
| entity_name | Kevin Indig |
| primary_domains | kevin-indig.com · growth-memo.com |
| entity_type | Personality — organic growth advisor, newsletter author, angel investor, speaker |
| career_history | Director of SEO & Growth: Atlassian → G2 → Shopify (in-house leadership) → independent advisor (current) |
| advisory_clients | Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, Nextdoor (named, publicly confirmed) |
| audit_date | 2026-07-15 · IdeaLab AI Visibility OS v1.1 |
| composite_score | 71 / 100 — Grade B · Strong Zone · tied with Katelyn Bourgoin, below Joanna Wiebe (76) |
| D1_brand_clarity | 80 · B — Low-disambiguation surname. "Growth Memo" and "AI Visibility Ladder" as consistently reinforced sub-brands. Minor job-title fragmentation across career-history references. |
| D2_content_depth | 88 · A — Simultaneous dual columnist (Search Engine Journal + Search Engine Land). Genuine primary research (846K-session clickstream study, 200-response GPT-5.2 analysis). Weekly Growth Memo essay. Contrarian Marketing podcast. |
| D3_entity_recognition | 44 · F — WEAKEST DIMENSION. No Wikipedia. No Wikidata. Crunchbase profile + LinkedIn (self-described primary platform) only structured/semi-structured anchors. Notability case plausibly already sufficient. |
| D4_structured_knowledge | 54 · C — Substack baseline schema + publication author pages. No Person JSON-LD on kevin-indig.com. No LLMs.txt. Original research not encoded as structured Dataset schema — notable given his own AI-extraction research focus. |
| D5_multiplatform | 76 · B — LinkedIn-concentrated (self-described primary channel). Dual columnist syndication. Contrarian Marketing podcast. Active conference circuit (confirmed: Spotlight, London, Oct 2026). X/Twitter deliberately de-prioritised. |
| D6_social_proof | 85 · A — Named in-house leadership: Shopify, G2, Atlassian. 8 named advisory clients: Airbnb, Asana, Xero, Ramp, Reddit, Dropbox, Snapchat, Nextdoor. Specific outcome-attributed testimonial (Ramp: "multi-million Dollar pipeline channel"). Angel investor. |
| D7_ai_discoverability | 75 · B — Strong/category-leading for "AI visibility measurement" and "organic growth strategy" queries. Weaker for direct "who is Kevin Indig" identity queries, directly reflecting the D3 gap. |
| defining_irony | Publishes research finding original structured content earns 3.3x more AI citations, while his own primary research and personal site lack the structured schema (Person JSON-LD, Dataset schema, LLMs.txt) that would apply this finding to himself. |
| highest_leverage_fix | Wikidata entity creation (2 hours) + Wikipedia article submission (this quarter) using existing named-client and named-employer roster as notability case. Projects to move Kevin Indig into the database's top tier given already-strong D2/D6. |
| projected_post_sprint | 87+ / 100 — after Wikidata, Wikipedia, Person JSON-LD, LLMs.txt, and Dataset schema on primary research (estimated 1-quarter timeline) |
| auditor | IdeaLab.ai · AI Visibility OS v1.1 · idea-lab.ai/audits |
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