AI Voice Share Landscape
Catalog Design Services
Which vendors are being cited in AI answers when buyers research catalog design services? Data from 80 AI queries across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
Last measured June 20, 2026 · Methodology
AI Voice Share Leaderboard
Voice share = % of AI answers that mentioned each vendor across 80 buyer-intent queries. Pipeline estimate based on category query volume × citation CTR (2.5%) × opportunity rate (5%) × estimated ACV. For context only — not audited pipeline figures. Full methodology →
What AI voice share means for catalog design services vendors
B2B buyers increasingly start vendor research in AI engines. When a buyer asks ChatGPT or Perplexity which catalog design services vendor to evaluate, the answer shapes their shortlist before they visit a single website. Vendors with high voice share get into consideration sets they didn't have to earn through ads or SEO.
This data is measured via standardized, context-free API calls — the same query sent to each LLM in a fresh session, repeated across 12 buyer-intent prompts. It represents baseline citation behavior, not personalized results.
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Run your free scan →Data published by Catalyst GTM. Updated each time a new industry map is rendered. Coefficients and methodology at gotcatalyst.com/aeo-methodology. Voice share is measured at a point in time and does not represent permanent rankings.