What is the best ai testing & quality engineering platform in 2026?

Based on Catalyst's AI search analysis across ChatGPT, Claude, Gemini, and Perplexity, the top three ai testing & quality engineering platforms by voice share are 1) Mabl (50% voice share), 2) Cypress (42.1% voice share), 3) Katalon (36.8% voice share). Voice share measures how often each vendor is mentioned when buyers ask AI for category recommendations.

Which ai testing & quality engineering vendor is most cited by AI assistants?

Mabl leads ai testing & quality engineering AI citations with 50% voice share. When buyers ask ChatGPT, Claude, Gemini, or Perplexity for ai testing & quality engineering recommendations, Mabl is named in roughly 50 of every 100 responses.

How does Catalyst measure AI voice share for ai testing & quality engineering vendors?

Catalyst runs 80 standardized buyer-intent queries against ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Each query is asked in a fresh session with two buyer personas (decision-maker and practitioner). Voice share = percentage of responses that name each vendor. Full methodology at gotcatalyst.com/aeo-methodology.

AI Voice Share Landscape

AI Testing & Quality Engineering

Which vendors are being cited in AI answers when buyers research ai testing & quality engineering? Data from 80 AI queries across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

Last measured July 21, 2026 · Methodology

AI Voice Share Leaderboard

Mabl50%

Cypress42.1%

Katalon36.8%

Playwright34.2%

Testim26.3%

Tricentis23.7%

Browserstack21.1%

Selenium18.4%

Applitools18.4%

Testsigma18.4%

Testmuai18.4%

Testrigor15.8%

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 ai testing & quality engineering vendors

B2B buyers increasingly start vendor research in AI engines. When a buyer asks ChatGPT or Perplexity which ai testing & quality engineering 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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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.