Agribusiness: how we position your company above competitors in ChatGPT, Gemini and Copilot

Quick answer: institutional buyers, exporters, and agro technicians already ask ChatGPT, Gemini, and Copilot which input supplier to choose, who exports which product, and which company is reliable — and AI names 2 to 4 options with arguments. If your company isn’t in that answer, the commercial contact never happens. Our methodology audits what AI says about your category, why it recommends others, and builds the content and authority to change the answer in your favor.

This case shows, with real examples from our methodology, how we work with agribusiness companies: producers and exporters, agricultural input companies, food processors, and agtech.

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What’s happening in your sector (and almost nobody has told you)

For years, selling in agro depended on three channels: relationships, trade fairs, and intermediaries. Today there’s a fourth channel that doesn’t attend fairs, doesn’t drink coffee with anyone, and doesn’t appear in your contact list — but already influences which suppliers get considered and which don’t:

The AI engines.

Look at what the actors in your market are typing today. These are real sector prompts:

Who’s asking	Real prompt
Institutional buyer	“Which [processed food] suppliers are reliable for a retail chain?”
International importer	“Which companies export [product] from Colombia with certifications?”
Farm producer	“Which agricultural inputs company do you recommend for [crop]?”
Plant manager	“Compare [input] suppliers and tell me which to choose”
Food entrepreneur	“Which packers or co-packers work with small brands?”

When we run these prompts across ChatGPT, Gemini, Copilot, Perplexity, and Claude, the pattern repeats: AI names the same 2 or 3 companies, with confidence, with attributes, and with sources. And the company that hires us, almost always, doesn’t appear.

The difference versus the trade fair is brutal: the fair gives you contacts three days a year. AI makes that same recommendation every day, with buyers from all over the world — and it names whoever it can verify, not whoever has the best booth.

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The competitor analysis: exactly what we do

Before writing a single line of content, we connect our monitoring tool stack to answer three questions with data, not opinions:

1. Who does AI cite in your category — and in what position?

We map 30 to 60 real prompts from your market (recommendation, comparison, export, certifications, capacity) and run them recurrently across the 6 main engines. The result is your visibility score per engine:

Sector prompt	Engine	Your company	Who appears in your place
“[Your product] exporters in [your country]”	ChatGPT	Not cited	Competitor A (1st), Competitor B (2nd)
“Which agricultural inputs company do you recommend for [crop]?”	Gemini	Not cited	Distributor C, multinational D
“Reliable [category] suppliers for retail”	Copilot	Not cited	Competitor B — “the best traceability in the sector”

2. Why AI recommends them

Here’s the gold. AI doesn’t recommend by chance: it recommends because it found clear entities, citable content, and digital authority. Our analysis reveals, competitor by competitor:

• Which sources AI is using to talk about them (their site, export directories, trade associations, agro media, certification registries)
• Which attributes it assigns them (“the most reliable on quality,” “the exporter with the most certifications”) — attributes that should often be yours
• Which gaps they have — market questions nobody answers well (volumes, traceability, export processes), which are your fastest way in

3. What your customers ask that you’re not answering

We analyze the real prompts buyers, importers, and producers in your chain type: exact language, comparisons, selection criteria. That research becomes the content map your company needs to publish.

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How we position you above: the methodology

With the diagnosis in hand, we execute four fronts:

1. Citable content, written for your site. Product pages with real data (volumes, certifications, destinations), guides, and cases that directly answer the questions buyers ask AI — with the structure and references engines need to cite you as an authoritative source. We deliver it ready to publish.

2. Entities and digital authority. AI recommends companies it understands. We build the structured presence of your company and each line (what you produce, capacity, certifications, export destinations) so engines identify you, classify you, and describe you with the right attributes.

3. External signals and social media. The exact content and hashtags for your social channels, trade directories, and the places where AI tracks validation — aligned with the topics your buyers ask about.

4. Continuous measurement. Monthly monitoring: which prompts you now appear in, in what position, against whom, and how it evolves. Clear, actionable reports, no black boxes.

The before and after

Today — without AI visibility: “Which companies export [your product] from [your country] with certifications?” → AI names three competitors, with their sources. Your company doesn’t appear. The importer contacts someone else.

With Kanalytics — cited as the reference: → AI names your company first, with the right attribute (“certified exporter with full traceability and experience in [market]”) and with your site as the source. The buyer arrives at the negotiation already convinced.

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What the conversation with you would look like

When we sit down with an agro company, we don’t sell smoke: we ask questions. We start by understanding your operation — where your customers come from today, how much depends on intermediaries and fairs, and how an international buyer researches before picking up the phone.

Then we show you what we found: what AI answers when someone looks for what you produce, which competitors are occupying your place, and — most importantly — how many buyers, including international ones who will never set foot at a Colombian fair, built their supplier list without knowing you. In export contracts, a single account won through this channel changes the year.

And our commercial stance is direct: we teach you something about your market you didn’t know (who’s winning AI answers in your category), we connect it to your specific situation (your products, your competitors, your prompts), and we give you control over the next step (a PDF diagnostic that’s yours, whatever you decide).

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Why agro moves faster than other sectors

Three reasons we see in the data:

1. Digital competition is the lowest of any sector. Agro sells through relationships: almost nobody has structured their presence for AI. Whoever starts now captures the category virtually uncontested.
2. The international buyer researches remotely. An importer in Europe or the US doesn’t go to your fair: they ask AI. Being the answer opens an export channel that doesn’t exist today.
3. Certifications and traceability are gold for AI. Agro has exactly what engines look for to validate: certificates, registries, trade associations. It just needs to be structured so AI can find it.

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Start with the diagnosis

Within 48 hours we deliver:

• Your visibility score across ChatGPT, Gemini, Copilot, Perplexity, Claude, and AI Overviews
• The competitors occupying your place today in the answers, and the sources AI uses to recommend them
• Your category’s concrete opportunities, ranked by impact
• The PDF diagnostic — yours, whatever you decide

Request your free audit →

One 30-minute session. Free, no commitment. If there’s no clear opportunity for your company, we’ll tell you that too.