Proof pillar 03 / AI search visibility
Find the citation gap before choosing the fix.
The question
Could a product rank in classic search and still be missing from the independent roundups buyers use to compare tools in its category?
The method
I defined commercial queries, classified intent, checked candidate citations, opened source pages to verify what snippets suggested, compared category framing, and turned the observed gaps into a ranked action plan.
What the evidence showed
For Brand A, two commercial-intent queries did not surface the product in two category roundups. Full-page checks ruled out a search-snippet truncation issue. Existing directory descriptions also placed it in a broader category than the one represented by those buying queries.
Brand B was used as a comparison case. Its citations appeared across both query angles, with no comparable gap in this small sample.
Decision and limits
The recommended sequence was to correct category descriptions, pursue relevant roundup inclusion, then publish an owned comparison page with structured data. This was a plan, not a measured outcome. Direct ChatGPT or Perplexity API access was unavailable, so live web search was used as a proxy. Two queries per brand were checked, below the method’s usual three to five.
Basis: two queries per brand. Status: DIRECTIONAL. The audit did not measure changes after implementation.