72%
of agricultural buyers say AI recommendations influence their purchasing decisions
According to AgFunder Insights (2025), 72% of agricultural buyers say AI recommendations influence their purchasing decisions.
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
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.
61%
of ag procurement teams now use AI tools in vendor discovery
McKinsey AgTech Report 2024
$5.2B
annual ag-tech market influenced by AI-driven recommendations
Grand View Research 2025
3.8x
more likely to win contracts when recommended by AI
Deloitte Digital Agriculture 2024
47%
of farmers research new products through AI assistants first
Farm Bureau Digital Survey 2025
What AI platforms say
Here's how the top AI platforms respond to a typical industry query.
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
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
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
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
Top agriculture, forestry, fishing & hunting brands ranked by AI visibility across ChatGPT, Claude, Perplexity, and Gemini. Don't see your brand? That's a problem — and we can fix it.
| 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% |
These companies have room to grow their AI visibility. With the right optimization, they could join the winners.
| 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?
If your brand isn't in the top rankings, you're missing out on AI-driven buyer discovery. Sign up to monitor your AI visibility and get recommended when procurement teams ask ChatGPT, Claude, and Perplexity for agriculture, forestry, fishing & hunting partners.
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.
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.
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.
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.
Key differences between the top-performing and underperforming brands in AI visibility.
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.
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.
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.
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.
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.
Verified metrics formatted for easy citation.
72%
of agricultural buyers say AI recommendations influence their purchasing decisions
According to AgFunder Insights (2025), 72% of agricultural buyers say AI recommendations influence their purchasing decisions.
58%
of ag businesses have no strategy for AI search visibility
According to American Farm Bureau (2024), 58% of ag businesses have no strategy for AI search visibility.
$12.4B
projected AI influence on agricultural supply chain decisions by 2027
According to PwC Agribusiness Outlook (2025), $12.4B projected AI influence on agricultural supply chain decisions by 2027.
4.2x
higher conversion rate for businesses recommended by AI vs. traditional search
According to Bain Agricultural Technology Report (2024), 4.2x higher conversion rate for businesses recommended by AI vs. traditional search.
Strategic pillars, actionable steps, and a quick-reference checklist to improve your brand's presence across AI platforms.
Build comprehensive crop management guides, product application content, and agronomic resources. Create region-specific content matching how farmers query AI for agricultural advice.
Implement Product and Organization schema markup. Structure product data, application rates, and efficacy information for AI consumption.
Build citations in agricultural publications, university extension partnerships, and farm media. Publish trial data that AI models use as evidence for product recommendations.
Maintain detailed profiles on agricultural marketplaces, precision ag platforms, and farm input directories. Ensure product data is current and comprehensive.
Search for your products and brand on ChatGPT, Claude, Perplexity, and Gemini using queries farmers would ask about crop management and inputs.
Track your prompts →Create detailed crop management guides with application rates, timing, and efficacy data for each product and crop combination.
Optimize your content →Add Product and Organization schema to all product pages with structured data for active ingredients, application methods, and crop compatibility.
Share trial results, university partnerships, and yield data that demonstrates product efficacy. Research evidence is a primary factor in AI agricultural recommendations.
Develop region-specific agronomic content addressing local growing conditions, pest pressures, and crop management practices.
Track how competing brands appear for your key crops and products. Identify content gaps in agronomic guidance where you can establish authority.
Track competitors →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, Perplexity, and Gemini.
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.
Discover AI visibility solutions for specific sectors within agriculture, forestry, fishing & hunting.
AI visibility for crop production businesses including grain farming, vegetable and melon farming, fruit and tree nut farming, and greenhouse operations.
AI visibility for animal production businesses including cattle ranching, hog farming, poultry, dairy, and aquaculture operations.
AI visibility for timber, forestry management, and logging operations.
AI visibility for commercial fishing, hunting, and trapping businesses.
AI visibility for businesses providing support services to agriculture and forestry including crop harvesting, soil preparation, and veterinary services.
AI visibility solutions for manufacturing companies across food, beverage, textile, chemical, machinery, electronics, and other manufacturing sectors. Ensure your manufacturing business gets recommended when procurement teams, distributors, and OEMs ask AI assistants for suppliers and partners.
AI visibility solutions for wholesale distributors and merchant wholesalers. Get your wholesale business recommended when buyers ask AI for suppliers.
AI visibility solutions for transportation, logistics, and warehousing companies. Get recommended when shippers and logistics buyers ask AI for carriers and providers.
Now that you've seen the data, take the next step. Start tracking your agriculture, forestry, fishing & hunting brand's AI visibility.