A 48-hour directional snapshot of Acme's visibility across the five major AI search engines, benchmarked against three named competitors. Same methodology, same shape, same design as your audit.
Acme appears in roughly one in five AI-generated answers across the 45 buyer-intent prompts measured. The category leader is at 39%. The cited-brand median is around 28%.
In plain English: Acme's foundations are largely in good shape. The visibility gap is a PR and content problem.
Each links to the section that explains it in detail. Together they describe the strategic shape of Acme's visibility position.
Acme's foundations are largely in good shape. The visibility gap is a PR and content problem. A focused 90-day investment in third-party citation building plus comparison content would close most of the explainable gap.
Acme's strongest engine is Claude (24.4%); weakest is AI Overviews (17.3%). The 7-point spread is the engine-character gap — and it tells you something specific about why.
Acme performs better in named-mention engines (ChatGPT, Claude — generating from training-data brand association) than in citation-heavy engines (Perplexity, AI Overviews — retrieving real-time search results and citing sources). The pattern is consistent with a brand that has reasonable recognition but weaker third-party citation footprint. Engines that lean on retrieval undercite Acme more than engines that lean on training-data brand association.
Acme is strong in performance and pricing — its product strengths. Weak in engagement and analytics — competitor strongholds. The pattern points directly at where to invest defensively and where to compete.
The strategic implication: invest defensively in performance and pricing (where Acme already wins), and selectively in adjacent clusters where the underlying market opportunity is high but the content depth gap is wide.
SEO authority and entity disambiguation are the strongest predictors of AI visibility. Acme has authority. Acme has an entity gap.
| Signal | Status | Implication |
|---|---|---|
| Wikipedia article | No | Borderline notability — addressable with PR campaign |
| Wikidata entity | Minimal | Entity exists (Q108472841) but only 8 statements — needs expansion |
| Wikidata ↔ Wikipedia link | Not linked | Direct consequence of missing Wikipedia article |
| Google Knowledge Panel | Absent | No KP for brand-named queries — major signal gap |
| Schema.org Organization | 60% complete | Schema present but missing properties |
| sameAs links | 4 of recommended 8+ | Half the recommended count — directly addressable |
"Acme" is a generic placeholder name with hundreds of unrelated companies sharing it. Without strong entity signals, AI engines either guess (potentially wrongly) or decline to mention any Acme-named brand — suppressing Acme's appearance rate. Action R03 closes most of this gap in 30 days of engineering and structured-data work.
22 pass · 15 warn · 3 fail. Acme's technical foundations are largely solid.
| ID | Check | Status | Severity |
|---|---|---|---|
| T01 | Comparison page count vs cluster leader | Fail | 5/5 |
| T02 | Original research / data study presence | Fail | 5/5 |
| T03 | Wikipedia article notability | Fail | 4/5 |
| T08 | Schema.org Organization completeness | Warn | 3/5 |
| T11 | FAQPage schema implementation | Warn | 3/5 |
| T15 | llms.txt manifest | Warn | 3/5 |
| T22 | Author entity markup | Warn | 3/5 |
| T31 | Internal link depth to commercial pages | Warn | 3/5 |
The two highest-severity findings (comparison content, original research) are content-strategy work — addressed by priority action R01. The schema and entity findings are quick technical fixes (under 4 hours each) and should ship in week one.
Pinnacle, Helix, and Beacon — the three competitors most strongly associated with Acme by AI engines. Knowing what each does well, and where Acme can compete, is most of competitive strategy.
Strongest entity signals in cohort (Wikipedia, complete Wikidata, Knowledge Panel). Annual State of HR Tech report drives ~30% of yearly PR mentions and acts as a compounding citation asset.
Direct competition impractical short-term. Strategic move: be the named alternative. Build "Acme vs Pinnacle for mid-market" comparison content + customer case studies of mid-market companies that chose Acme.
Comparison content is 65% of cited URLs — single most concentrated content bet in the cohort, and it works. 47 dedicated /vs comparison pages (Acme has 4). Strong tech-press footprint.
Closest direct competitor — most Acme buyers also evaluate Helix. The 17pp SOV gap closes through (1) Acme's own /vs cluster (the 47-vs-4 deficit), and (2) engineer-friendly differentiation that addresses Helix's design-focused positioning.
Owns the engagement-cluster vocabulary in AI engines. Annual State of Engagement report drives 18 PR mentions/year. 18 engagement-cluster definition pages.
Don't go head-on at engagement methodology — Beacon has invested years there. Compete on engagement adjacencies (e.g., "engagement linked to performance") where Acme's product breadth is the asset.
PR + content + entity together explain 84% of Acme's visibility gap. Authority and technical foundations explain the remaining 14% — small relative to the larger drivers.
Acme has 4 comparison pages. Helix has 47. The deficit drives roughly a quarter of Acme's visibility gap. AI engines preferentially cite comparison content for buyer-intent queries — and right now Acme is invisible on most of them.
8-12 new comparison pages live, each ~3,000-4,000 words, structured for both human readers and AI engines (clear headings, schema markup, comparison tables, internal linking). Targets named competitors and adjacent category players.
Inventory the queries where competitors rank top-10 and Acme doesn't. Start with the 3 highest-volume comparison queries.
Acme has 23 third-party publication mentions in the last 12 months. The cited-brand median is 47. The category leader has 89. Third-party citations drive 41% of Acme's visibility gap — the largest single factor.
4-6 placements in tier-1 HR or B2B SaaS publications over 90 days. Each citation links back to Acme's domain with branded anchor text. Cumulative Domain Rating improvement +2-3 points.
Develop 2-3 story angles. Brief an experienced HR-trade-press journalist relations specialist (in-house or retained agency).
AI engines treat brand entities probabilistically — they need clear signals about which "Acme" is the HR ops platform. Acme's entity disambiguation score is 42/100. Cited-brand median is 78. Closing this gap is mostly engineering and structured-data work, not creative.
Organization schema 100% complete with 8+ sameAs links. Wikidata entity expanded to 30+ statements. Wikipedia article being drafted in parallel by the PR work.
Audit the existing Organization schema. Identify the missing properties and sameAs targets. Engineering ticket for the schema work.
Same methodology, deeper measurement, full strategy. Defensible to a CFO. Actionable for a team.
Some of these require a larger sample size to be statistically reliable. Others require analyst time. Rapid's $997 price point can't include them; Pro's $4,997 does.
This took 48 hours and cost $997. Same methodology. Real brand. Real numbers. Real actions you can ship in 30, 60, or 90 days.
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