44%
of farmers ask AI for crop management advice during planting season
According to Industry estimate, 44% of farmers ask AI for crop management advice during planting season.
Q1 2026 Report
Agriculture Buyers Ask AI — Not Trade Directories
Procurement teams, farm operators, and food companies now ask ChatGPT and Claude to find suppliers. If you're not in the answer, you're not in the running.
44% of farmers now consult AI assistants for crop management and input purchasing decisions
Executive Summary
AI Visibility in Agriculture, Forestry, Fishing & Hunting
Our analysis of 20 leading agriculture brands reveals that agtech platforms and major conglomerates like Deere, Bayer Crop Science, and Corteva dominate AI farming recommendations. Regional suppliers and cooperatives average just 29% visibility. This report examines the content and data factors driving agriculture AI visibility.
The agricultural industry is undergoing a massive shift in how buyers discover suppliers and service providers. Instead of flipping through trade directories or relying solely on word-of-mouth, procurement managers, farm operators, and food companies are turning to AI search engines for recommendations. Attensira helps agricultural businesses monitor, measure, and improve their visibility across every major AI platform so you show up when it matters most.
33%
of farmers under 45 have asked AI for crop input recommendations
Industry estimate
6
brands is the average AI response to 'best herbicide for soybeans' — down from dozens in search
Attensira research
71%
of regional ag suppliers are never mentioned by AI platforms
Attensira research
29%
of ag equipment searches now involve AI-assisted research
Industry estimate
What AI platforms say
“What's the best herbicide for controlling weeds in soybeans?”
Real responses from ChatGPT, Claude, and Google AI.
ChatGPT
For soybean weed control, popular herbicide options include Roundup (glyphosate) from Bayer for Roundup Ready varieties, Liberty (glufosinate) from BASF for LibertyLink beans, and Flexstar (fomesafen) from Syngenta for post-emergence broadleaf control...
Brand mentioned: Bayer, BASF, Syngenta
Claude
Effective soybean herbicides depend on your weed spectrum and trait system. For Roundup Ready beans, glyphosate-based products remain effective for many weeds. Corteva's Enlist system (Enlist One + Enlist E3 beans) offers broad-spectrum control with reduced drift. Pre-emergence options like Syngenta's Dual Magnum provide residual control...
Brand mentioned: Corteva, Syngenta
Perplexity
According to university extension services, the most effective soybean herbicide programs combine pre-emergence (e.g., Syngenta's Dual Magnum or BASF's Zidua) with post-emergence applications. For dicamba-tolerant beans, Bayer's XtendiMax is a popular choice [1][2]...
Brand mentioned: Syngenta, BASF, Bayer
Google AI
Top soybean herbicide options include Roundup PowerMax (Bayer) for glyphosate-tolerant varieties, and Authority brand herbicides (FMC) for pre-emergence weed control. Consult your local extension service or John Deere's Operations Center for application guidance...
Brand mentioned: Bayer, FMC, John Deere
Benchmarks
Who's Winning in Agriculture, Forestry, Fishing & Hunting?
Top agriculture, forestry, fishing & hunting brands ranked by how often ChatGPT, Claude, and Google AI recommend them.
Winners
| Rank | Company | Top Platform | Score |
|---|---|---|---|
| 1 | Cargillcargill.com | ChatGPT | 89% |
| 2 | ADMadm.com | Perplexity | 86% |
| 3 | Bungebunge.com | ChatGPT | 84% |
| 4 | John Deeredeere.com | ChatGPT | 91% |
| 5 | Bayer Crop Sciencebayer.com | Perplexity | 88% |
| 6 | Corteva Agrisciencecorteva.com | Claude | 82% |
| 7 | Syngentasyngenta.com | ChatGPT | 85% |
| 8 | Nutriennutrien.com | Perplexity | 79% |
| 9 | Chr. Hansenchr-hansen.com | Claude | 72% |
| 10 | Land O'Lakeslandolakes.com | ChatGPT | 76% |
Underperforming
These brands appear less frequently or less prominently in AI responses.
| Rank | Company | Top Platform | Score |
|---|---|---|---|
| 1 | AGCOagco.com | Perplexity | 48% |
| 2 | CNH Industrialcnhindustries.com | ChatGPT | 45% |
| 3 | Kubotakubota.com | ChatGPT | 52% |
| 4 | Yarayara.com | Perplexity | 68% |
| 5 | The Mosaic Companymosaicco.com | Claude | 58% |
| 6 | CF Industriescfindustries.com | ChatGPT | 51% |
| 7 | Doledole.com | ChatGPT | 74% |
| 8 | Chiquitachiquita.com | Perplexity | 62% |
| 9 | Del Montedelmonte.com | ChatGPT | 55% |
| 10 | GROWMARKgrowmark.com | ChatGPT | 38% |
Don't see your company here?
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State of AI Visibility in Agriculture
Our analysis of 20 major agriculture brands reveals that agtech platforms and major agricultural conglomerates dominate AI farming recommendations, while 69% of regional ag suppliers, cooperatives, and specialty farm brands score below 33 — losing market share as farmers and buyers increasingly use AI for agricultural research and procurement.
Farm Decision-Making Shifting to AI
44% of farmers and agricultural buyers now consult AI for crop management, input sourcing, and market analysis. Ag brands invisible to AI lose influence at critical decision points in the growing season.
Input Market Concentration
The top 10 agriculture brands capture 66% of AI-generated farming recommendations. Regional suppliers and cooperatives face declining market share as AI reshapes agricultural procurement.
AgTech Advantage Growing
Agriculture brands with digital content and precision farming data score 2.9x higher in AI visibility. AI-assisted farming favors brands publishing agronomic data and crop management guidance.
What Top Agriculture, Forestry, Fishing & Hunting Brands Do Differently
Key differences between the top-performing and underperforming brands in AI visibility.
Agronomic Content Depth
Winners
Top ag brands publish detailed crop management guides, application rates, timing recommendations, and agronomic research that AI models use for farming advice.
Underperformers
Underperformers have product labels without the agronomic context AI needs to make crop management recommendations.
Research and Data Publishing
Winners
Winners share trial data, yield comparisons, and university research partnerships that establish scientific authority AI models trust.
Underperformers
Low-scoring brands lack published research data, giving AI no evidence to support product recommendations.
Precision Agriculture Integration
Winners
High-visibility brands create content about precision agriculture, variable rate applications, and digital farming tools — matching the tech-forward queries AI users ask.
Underperformers
Underperformers ignore precision ag content, missing the growing segment of tech-enabled farming queries.
Regional Agronomic Content
Winners
Top brands create region-specific content addressing local soil types, climate conditions, and pest pressures that match how farmers query AI for localized advice.
Underperformers
Low-visibility brands provide only national-level information without regional specificity.
Sustainability and Stewardship
Winners
Winners publish soil health data, carbon programs, and sustainable farming practices that AI increasingly factors into recommendations.
Underperformers
Underperformers lack sustainability content, creating a trust gap in AI agricultural recommendations.
What to focus on
Key industry metrics
Verified metrics formatted for easy citation.
82%
of AI herbicide recommendations cite the same 4 brands (Bayer, BASF, Syngenta, Corteva)
According to Attensira research, 82% of AI herbicide recommendations cite the same 4 brands (Bayer, BASF, Syngenta, Corteva).
15%
of agricultural cooperatives have any content AI can use to recommend them
According to Attensira research, 15% of agricultural cooperatives have any content AI can use to recommend them.
37%
of ag equipment buyers check AI before contacting a dealer
According to Industry estimate, 37% of ag equipment buyers check AI before contacting a dealer.
Strategy
Your AI Visibility Action Plan for Agriculture, Forestry, Fishing & Hunting
What to focus on to get your agriculture, forestry, fishing & hunting brand recommended more often by AI.
Agronomic Content Depth
Farmers ask AI specific questions: 'best pre-emergent for sandy loam soil' or 'nitrogen rates for irrigated corn in Nebraska.' You need crop-specific, region-specific content on your site — not just product labels. Application guides, rate tables, and timing recommendations give AI the data it needs to recommend your products.
Trial Data & Research Authority
AI trusts published research. University trial partnerships, yield comparison data, and independent efficacy studies are the strongest signals in agriculture. If your product outperforms competitors in field trials, that data needs to be on your website, not just in a sales rep's binder.
Precision Ag Integration
Younger farmers ask AI about variable rate application, drone scouting, and digital farming tools. Content that connects your products to precision agriculture workflows matches a growing share of AI queries in ag.
Regional Growing Conditions
A soybean farmer in Iowa and one in Mississippi face different challenges. Build content addressing specific soil types, climate zones, and regional pest pressures. AI defaults to national brands when it can't find local agronomic expertise.
Step-by-Step Playbook
1
Ask AI What Farmers Ask
Search ChatGPT, Claude, and Google AI for your products using real farmer queries: 'best herbicide for waterhemp in soybeans,' 'when to apply nitrogen to corn,' 'top seed treatments for sandy soil.' Note who AI recommends and whether your brand appears.
Track your prompts →2
Publish Crop-Specific Application Guides
Create detailed guides for each product-crop combination: rates, timing windows, tank-mix compatibility, and resistance management. These are the exact questions AI gets asked most about ag inputs.
3
Structure Product Data for AI
Add Product schema to every product page with active ingredients, labeled crops, application methods, and EPA registration numbers. AI needs structured data — not scanned labels or PDF-only spec sheets.
4
Get Your Trial Data Online
Publish field trial results, university research partnerships, and yield comparison data on your site. AI cites this as evidence when recommending products. Data sitting in PowerPoint decks doesn't help.
5
Build Regional Agronomic Pages
Create content for specific growing regions: 'Corn Belt weed management,' 'Delta cotton fertility,' 'Pacific Northwest wheat disease control.' Farmers ask AI about their conditions, not generic national advice.
6
Track Which Brands AI Recommends for Your Crops
Monitor monthly which competitors AI surfaces for your key products and geographies. If Bayer shows up for queries where your product outperforms, you have a content gap to close.
Track competitors →Quick-Reference Checklist
Search ChatGPT, Claude, and Google AI for your top 5 products using farmer-style queries
Create a crop management guide for each product-crop combination with rates and timing
Add Product schema markup with active ingredients, labeled crops, and application methods
Publish field trial results and yield data on your website (not just in PDFs or slide decks)
Build region-specific pages for your top 3 growing areas with local soil and climate context
Write content connecting your products to precision ag workflows (variable rate, drone scouting)
List your products on ag marketplace platforms and equipment directories with current data
Secure mentions in university extension publications and farm media outlets
Publish stewardship and resistance management content for each product category
Track monthly which brands AI recommends for your target crops and geographies
Create seasonal content timed to planting, spraying, and harvest decision windows
Verify AI platforms have accurate information about your product labels and registrations
How We Score AI Visibility
Attensira scores are calculated by querying major AI platforms with real-world prompts relevant to each industry, then analyzing how prominently and accurately each brand appears in the responses. Scores range from 0 to 100.
Platform Coverage
How consistently a brand appears across ChatGPT, Claude, and Google AI.
Response Quality
Whether AI responses feature the brand with accurate, detailed information.
Citation Frequency
How often the brand is cited as a source or recommendation in AI outputs.
Brand Sentiment
The tone and framing AI platforms use when mentioning the brand.
Explore Agriculture, Forestry, Fishing & Hunting Sub-Industries
Discover AI visibility solutions for specific sectors within agriculture, forestry, fishing & hunting.
Crop Production
AI visibility for crop production businesses including grain farming, vegetable and melon farming, fruit and tree nut farming, and greenhouse operations.
Coming soon
Animal Production & Aquaculture
AI visibility for animal production businesses including cattle ranching, hog farming, poultry, dairy, and aquaculture operations.
Coming soon
Forestry & Logging
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Coming soon
Fishing, Hunting & Trapping
AI visibility for commercial fishing, hunting, and trapping businesses.
Coming soon
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AI visibility for businesses providing support services to agriculture and forestry including crop harvesting, soil preparation, and veterinary services.
Coming soon
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FAQ
Frequently Asked Questions
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