AI Voice Share Landscape

Industrial IoT & Predictive Maintenance

Which vendors are being cited in AI answers when buyers research industrial iot & predictive maintenance? Data from 80 AI queries across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

Last measured October 1, 2026 · Methodology

AI Voice Share Leaderboard

1
Siemens43.2%
2
Tractian40.9%
3
Ge31.8%
4
Augury29.5%
5
Emerson29.5%
6
Ptc20.5%
7
Skf18.2%
8
Fluke18.2%
9
Uptake18.2%
10
Honeywell15.9%
11
Rockwellautomation13.6%
12
Aveva9.1%

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 industrial iot & predictive maintenance vendors

B2B buyers increasingly start vendor research in AI engines. When a buyer asks ChatGPT or Perplexity which industrial iot & predictive maintenance 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.