Data as of Aug 25, 2026 · Based on 871 AI responses · See how Parse measures this
Enterprise AI Automation Platforms
ParseChatGPT + Google AIParse
https://parse.gl
Measured across ChatGPT & Google AI
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | CognexLeader for machine vision systems and in-line defect detection hardware. | Leader for machine vision systems and in-line defect detection hardware. | 59% |
| 2 |  MatroidAn early leader, now cited for its no-code computer vision platform. | An early leader, now cited for its no-code computer vision platform. | 40% |
| 3 |  Alphabet | 35% | |
| 4 |  KeyenceA rising top mention for industrial vision systems, often cited alongside Cognex. | A rising top mention for industrial vision systems, often cited alongside Cognex. | 35% |
| 5 |  Overview AIFrequently mentioned AI vision platform for rapid deployment and real-time detection. | Frequently mentioned AI vision platform for rapid deployment and real-time detection. | 29% |
| 6 |  Lincode | 25% | |
| 7 |  Amazon | 24% | |
| 8 |  Landing AI | 23% | |
| 9 |  Intelgic | 20% | |
| 10 |  Microsoft | 15% | |
| 11 |  UnitX Labs | 14% | |
| 12 |  Elementary ML | 14% | |
| 13 |  Jidoka Tech | 12% | |
| 14 |  Roboflow | 12% | |
| 15 |  Averroes AI | 11% | |
| 16 |  Tupl | 11% | |
| 17 |  Clarifai | 10% | |
| 18 |  Teledyne DALSA | 10% | |
| 19 |  Averna | 9% | |
| 20 |  ISRA VISION | 9% | |
| 21 |  ViTrox | 9% | |
| 22 |  Zeiss | 9% | |
| 23 |  Oracle | 9% | |
| 24 |  Basler | 8% | |
| 25 |  Zebra | 8% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
matroid.com is the page AI reaches for most here, cited in 38% of analyzed answers.
Rose from 5th to 1st in overall mentions between Nov 2025 and Mar 2026.
Dropped from #1 to #3 in overall mentions between Nov 2025 and Mar 2026.
Emerged from no mentions in Nov 2025 to become the #2 most cited brand by Mar 2026.
Fell from a top-3 position in Nov 2025 to #15 by Mar 2026.
“a general cloud platform with vision APIs” → “a provider of specialized services like 'Amazon Lookout for Vision'”
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| Cognex | 86% | 55% | |
| Keyence | 77% | 42% | |
| Landing AI | 51% | 21% | |
| Overview AI | 0% | 39% | |
 AWS | 22% | 30% |
The two models disagree most about Instrumental (ChatGPT #4, Google #25).
Cognex now leads AI recommendations for enterprise automation, particularly for in-line optical inspection and industrial machine vision. This reflects a broader shift since late 2025 where specialized hardware providers have gained prominence over general-purpose AI platforms in manufacturing-focused queries.
Across 871 AI responses, Cognex is mentioned most, named in 59% of them, followed by Matroid (40%) and Alphabet (35%).
Parse measures each brand's mention rate — the share of answers naming it — across 871 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
Google CloudAWSMatroidInitially, AI responses listed a mix of no-code platforms like
Who provides "computer vision" APIs for detecting defects in manufacturing?
Initially, AI responses listed a mix of no-code platforms like
CognexOverview AIMatroidEarly responses in late 2025 highlighted newer AI platforms like
Google CloudOverview AIBrands mentioned
CognexOverview AIMatroidEarly responses in late 2025 highlighted newer AI platforms like
The market map
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