Sample Report
AI Category Intelligence Report
Real methodology, illustrative company.
Company
Acme Analytics
Category
B2B Analytics
Systems
ChatGPT · Gemini · Claude · Perplexity
Delivered
48 hours
The core finding
Acme appears in 18% of relevant queries.
The category leader appears in 94%.
That gap is not a brand awareness problem. It is a signal clarity problem. The rest of this report explains exactly what is causing it and what to do.
How AI systems classify this company
Acme is placed in three different categories across four AI systems. Category fragmentation is the root cause of the visibility gap. A buyer searching any one space is unlikely to encounter the same company twice. Consolidating around one primary category is the single highest-leverage fix.
ChatGPT
Business Intelligence & Analytics
Placed alongside Tableau and Looker as a smaller alternative.
Gemini
Data Analytics Software
Category varies by query: sometimes marketing analytics, sometimes SMB tools.
Claude
Product Analytics
Narrower classification limits discovery by broader BI buyers.
Perplexity
Business Intelligence
Rarely surfaces in top results. Cited mainly from review sites.
Where this company ranks against competitors
Acme appears in fewer than 1 in 5 relevant queries, well below the top three competitors and below several smaller players. When Acme does appear, it is described accurately. The problem is not how it is described, but how rarely it appears at all.
Appearance frequency across 20+ category queries on ChatGPT, Gemini, Claude, and Perplexity.
What competitors have that this company does not
Top competitors have diversified citation profiles: editorial, review platforms, partner pages, and third-party content. Acme's presence is concentrated in a single source type. Building these six signals is the fastest path to closing the visibility gap.
Independent editorial coverage: analyst mentions, roundup articles
Integration partner pages referencing the product by name
Third-party review presence beyond G2: Capterra and TrustRadius
Category-defining content that AI systems can cite as a source
Podcast or media interview coverage
Technical documentation written in buyer-facing language
Prioritised actions
Resolve category fragmentation
Choose Business Intelligence as the primary category. Rewrite the homepage, meta description, and About page to reinforce this consistently. All signal-building flows from this clarity.
Diversify citation sources
Build presence on Capterra, TrustRadius, and at least two integration partner pages. These are the fastest-moving levers for improving recommendation frequency.
Publish category-defining content
Two to three original research pieces on B2B analytics that AI systems can cite as a source. Not product marketing, but substantive perspective on the category itself.
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