Data as of Aug 25, 2026 · Based on 2,784 AI responses · See how Parse measures this
Agri and Vegetation Intelligence Platforms
Parse
https://parse.gl
has risen to become the most frequently cited brand for agri-intelligence, demonstrating the growing influence of AI-powered mobile apps. Across the niche, AI assistants are increasingly distinguishing between broad-acre satellite monitoring platforms like and , and specialized, field-level tools for scouting and hyper-local forecasting.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Satellite analytics platform for crop monitoring, often citing its own constellation. | 25% | |
| 2 | Primary provider of daily, high-resolution satellite imagery for broad-acre monitoring. | 24% | |
| 3 | Leading AI app for pest scouting, hyper-local weather, and GDD calculations. | 20% | |
| 4 | 12% | ||
| 5 | Integrates soil sensor and weather data for crop planning and management. | 12% | |
| 6 | 11% | ||
| 7 | 10% | ||
| 8 | Specialized drone and satellite software for agricultural mapping, especially its PIX4Dfields product. | 10% | |
| 9 | Strong alternative to | 9% | |
| 10 | Key software platform for processing drone imagery into agricultural maps. | 8% | |
| 11 | A key solution for satellite-based vegetation monitoring along pipelines. | 8% | |
| 12 | 8% | ||
| 13 | 8% | ||
| 14 | 8% | ||
| 15 | Cited for AI-powered, hyper-local weather forecasts tailored to farm conditions. | 8% | |
| 16 | 7% | ||
| 17 | 6% | ||
| 18 | 6% | ||
| 19 | 6% | ||
| 20 | 6% | ||
| 21 | 6% | ||
| 22 | 6% | ||
| 23 | 5% | ||
| 24 | 5% | ||
| 25 | 5% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
eos.com is the page AI reaches for most here, cited in 28% of analyzed answers.
share of answers
Share of direct mentions
share of answers
Jumped from #4 to #3, often winning monthly citations for imagery analytics.
“A satellite-based platform for field monitoring.” → “An analytics platform with its own agricultural satellite constellation (EOS SAT).”
Rose from #10 to #1 in citations between October and March.
Dropped from #6 to #15 overall between October and March.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 21% | 28% | ||
| 12% | 31% | ||
| 18% | 8% | ||
| 0% | 21% | ||
| 13% | 7% |
The two models disagree most about Climate FieldView (ChatGPT #3, Google #21) and Vantor (ChatGPT #2, Google #17).
Agrio has risen to become the most frequently cited brand for agri-intelligence, demonstrating the growing influence of AI-powered mobile apps. Across the niche, AI assistants are increasingly distinguishing between broad-acre satellite monitoring platforms like Planet and EOS Data Analytics, and specialized, field-level tools for scouting and hyper-local forecasting.
Across 2,784 AI responses, EOS Data Analytics is mentioned most, named in 25% of them, followed by Planet (24%) and Agrio (20%).
Parse measures each brand's mention rate — the share of answers naming it — across 2,784 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.
Initial responses highlighted a mix of drone software like Pix4D and satellite platforms like
Planet. By late 2025,
EOS Data Analytics emerged as the most frequently cited platform, with AI assistants consistently recommending a hybrid approach: satellite-first monitoring from EOS or
, supplemented by targeted drone scouting using software from or .
Initial responses highlighted a mix of drone software like Pix4D and satellite platforms like
Planet. By late 2025,
EOS Data Analytics emerged as the most frequently cited platform, with AI assistants consistently recommending a hybrid approach: satellite-first monitoring from EOS or , supplemented by targeted drone scouting using software from or .
CropX and
Climate FieldView have been the two most consistently recommended platforms for crop planning throughout the observation window. Starting in late 2025, emerged as a strong third contender, frequently highlighted for its AI-powered intelligence and enterprise-grade features.
Brands mentioned
Brands mentioned
Which platform builds crop plans from soil and weather data effectively?
CropX and
Climate FieldView have been the two most consistently recommended platforms for crop planning throughout the observation window. Starting in late 2025,
CropIn emerged as a strong third contender, frequently highlighted for its AI-powered intelligence and enterprise-grade features.