Consistent, unambiguous naming and positioning across owned surfaces. AI engines cite entities that resolve to a single canonical identity.
Independent AI Visibility Score audit of Jones Road Beauty (jonesroadbeauty.com) using the IdeaLab AI Visibility OS v1.1 framework. Composite: 76/100 · Grade B — Citation Ready · BR-006 · #11 in IdeaLab database. Jones Road Beauty was founded October 26, 2020 by Bobbi Brown (TIME 100 2025). Revenue: $160M (2024). 100% family-owned. Blog confirmed at jonesroadbeauty.com/blogs/beauty. 12 company-owned retail stores. Framework by J.L. Marcoux, IdeaLab.ai.
D3 Entity (58) is the lone crater.
D4 (84) and D7 (82) nearly touch Grade A.
| Brand | Score | D2 Content | D3 Entity | D4 Citation | Wikipedia | Key Pattern |
|---|---|---|---|---|---|---|
| BR-003Dr. Squatch | 80 | 78 · B | 74 · B | 81 | ✓ | Institutional Anchor (Unilever) |
| BR-006Jones Road ◀ | 76 | 71 · B | 58 · C ⚠ | 84 | ✗ — Need | Wiki Gap vs Tier-1 Coverage |
| BR-004HexClad | 73 | 47 · D | 76 · B | 85 ★ | ✓ | Citation-Content Inversion |
| BR-001LMNT | 70 | 71 · B | 48 · D | 74 | ✗ | Borrowed Authority (Huberman) |
| BR-005Feastables | 65 | 38 · D | 72 · B | 79 | ✓ | Audience-as-Distribution Paradox |
| BR-002Midday Squares | 60 | 52 · C | 44 · D | 63 | ✗ | Social-First Paradox |
Jones Road Beauty has the highest D4 Citation score (84) of any brand in the cohort that does NOT have Grade A composite. The pattern confirms the database's thesis: Jones Road's Wikipedia gap is the only thing preventing a near-Grade A score. With D4 (84), D7 (82), D6 (78), D5 (78), and D2 (71) all performing well, and D1 (81) solid, a single Wikipedia article adding ~15 points to D3 (58 → 73+) pushes the composite from 76 to 83+. No other brand in this database has a comparable gap-to-fix ratio: one article, filed in 48 hours, that could be worth 7 composite points.
⬡ = Brand · ○ = Person. Jones Road Beauty (76, #11) enters between Ann Handley (77) and Justin Welsh (75) — a DTC beauty brand in direct competition with established marketing thought leaders. With a Wikipedia article, Jones Road's projected 83–87/100 would place it among the top 5 brands in the database, ahead of Dr. Squatch (80), challenging Seth Godin (84) and Ali Abdaal (84). No other entity in this database has a comparable fix-to-gain ratio: one Wikipedia article, filed in 48 hours, potentially worth 7+ composite points and a jump from #11 to #4–6 in the database ranking.
Free 7-dimension AI Visibility Score. No account required. Built for ecommerce brands and DTC founders.
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.
Consistent, unambiguous naming and positioning across owned surfaces. AI engines cite entities that resolve to a single canonical identity.
Long-form, first-hand, evidence-rich content on owned domains. Depth is the largest single driver of LLM citation frequency.
Presence in knowledge graphs — Wikipedia article, Wikidata QID, Google Knowledge Panel, sameAs coverage. Anchors the entity for AI retrieval.
Schema.org JSON-LD coverage: Organization, Person, Article, Product, aggregateRating, FAQPage, BreadcrumbList. Machine-readable = AI-citable.
Verified accounts and consistent identity across YouTube, LinkedIn, X, Instagram, TikTok, GitHub, Substack, podcasts. Cross-surface coherence lifts AI confidence.
Independent third-party citations: press, podcasts, academic references, high-authority backlinks, reviews. The corroboration layer AI engines weigh above self-claims.
AI-crawler posture: robots.txt policy for GPTBot / ClaudeBot / PerplexityBot / Google-Extended, llms.txt policy file, canonical URLs, sitemap freshness, dateModified hygiene.
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.
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.
Closest matches by category, keyword overlap, and AI Visibility Score — all scored on the same 7-dimension framework.