Medical sector: how we position your products above the competition in ChatGPT, Gemini and Copilot

Quick answer: in the medical sector, patients, clinic procurement leads and prescribing physicians already ask ChatGPT, Gemini and Copilot which products, devices and providers to choose. AI names 2 to 4 options — and today it almost always names your competitors. Our methodology audits exactly what AI says about your sector, why it recommends others, and builds the content and digital authority to shift the answer in your favor.

This case shows, with real examples from our methodology, how we work with medical and healthcare companies: device manufacturers, supply distributors, clinics, laboratories and health-tech companies.

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

For years, selling in the medical sector depended on three channels: sales reps visiting physicians, conferences and institutional word of mouth. Today there is a fourth channel that nobody visits, nobody invites to conferences and nobody takes out for coffee — but it already decides which products get considered and which don’t:

The AI engines.

Look at what your market’s buyers type today. These are real prompts from the sector:

Who’s asking	Real prompt
Clinic procurement lead	“Which vital signs monitoring equipment companies do you recommend for an 80-bed clinic?”
Specialist physician	“What is the best electronic health record software for practices in Latin America?”
Patient or family member	“Which clinic is best for spine surgery in my city?”
Lab manager	“Compare clinical lab reagent suppliers and tell me which one to choose”
Hospital director	“Which telemedicine companies work with hospitals in Latin America?”

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

The difference versus Google is brutal: on Google you ranked 6th and still got clicks. In AI, you’re either one of the 2–4 named brands, or you don’t exist in that buying conversation. The prospect contacts the recommended company without visiting a single website.

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The competitive analysis: what we actually 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, problem, local, authority) and run them recurrently across the 6 main engines. The result is your visibility score per engine:

Sector prompt	Engine	Your company	Who appears instead
“Best EHR software for mid-size clinics”	ChatGPT	Not cited	Competitor A (1st), Competitor B (2nd)
“Diagnostic imaging equipment suppliers”	Gemini	Not cited	Competitor B, multinational C
“Which surgical supplies company do you recommend?”	Copilot	Not cited	Competitor A — “the most trusted in the market”

2. Why AI recommends them

This is where the gold is. 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 the AI is using to talk about them (their technical blog, medical directories, reviews, papers, trade media, Wikipedia, forums)
• Which attributes it assigns them (“the most specialized in cardiology”, “the best post-sale support”) — attributes that often should be yours
• Which gaps they leave — market questions nobody is answering well, which are your fastest way in

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

We analyze the real prompts healthcare buyers write: exact language, comparisons, purchase doubts. That research becomes the content map your company needs to publish.

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How we position you above the competition: the methodology

With the diagnosis in hand, we execute four fronts:

1. Citable content, written for your site. Blogs, product pages and comparisons that directly answer the questions buyers ask AI — with the structure, data and references engines need to cite you as an authorized source. Delivered ready to publish.

2. Entities and digital authority. AI recommends companies it understands. We build the structured presence of your company and each product (what it is, who it’s for, certifications, specialty) 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, directories and the places AI crawls for validation — aligned to the topics your customers 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

This is the change we pursue in every category:

Today — without AI visibility: “Which medical equipment company do you recommend for a mid-size clinic?” → AI names three competitors, citing their sources. Your company doesn’t appear. The prospect books with someone else.

With Kanalytics — cited as the reference: → AI names your company first, with the right attribute (“specialized in equipment for mid-size clinics, with local support”) and your site as the source. The prospect arrives convinced before ever talking to you.

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What the conversation with you would look like

When we sit down with a medical-sector company, we don’t sell smoke: we ask questions. We start by understanding your business — where your commercial opportunities come from today, what role digital channels play, and how a procurement lead or a physician researches before talking to a supplier.

Then we show you what we found: what AI answers when someone in your market searches for what you sell, which competitors are occupying your place and — most importantly — how many opportunities never reach your desk because the prospect built their shortlist without ever knowing you. If over the next 12 months half of those research moments are answered by AI naming your competitor, that pipeline has a concrete cost worth seeing in numbers.

And our commercial stance is direct: we teach you something about your market you didn’t know (who is 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 diagnosis that is yours, whatever you decide).

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Why the medical sector moves faster than others

Three reasons we see in the data:

1. Trust is everything in healthcare — and AI transfers trust. Being “the one AI recommends” in a medical category is the modern equivalent of a colleague’s referral.
2. The decision is digital before it is human. 70% of the B2B buying process is completed before talking to a salesperson — and more and more of that 70% starts with a question to AI.
3. Almost nobody in the sector is doing this yet. In healthcare, the first company to structure its presence for AI engines keeps the attributes (“the specialist in…”) for years. The window is now.

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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 currently occupying your place in the answers, and the sources AI uses to recommend them
• The concrete opportunities in your category, ranked by impact
• The diagnosis as a PDF — yours, whatever you decide

Request your free audit →

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