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

Quick answer: insurance is a complex product nobody fully understands — exactly the kind of decision people already delegate to AI. Buyers ask ChatGPT, Gemini, and Copilot which policy to choose, which insurer responds best, and which fits their case — and they receive 2 to 4 recommendations with arguments. If your company isn’t in that answer, the sale was decided without you. Our methodology audits what AI says about your line, 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 insurance companies: insurers, insurtechs, brokers, and agencies by line of business.

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

For years, insurance sales depended on three channels: the agent network, banks, and ads. Today there’s a fourth channel that charges no commission, never sleeps, and talks to millions of people about coverages and exclusions — and already influences which insurers 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
Family choosing health coverage	“What’s the best family health insurance in [country]?”
Small business owner	“What insurance is my business legally required to have, and who should I buy it from?”
Comparing driver	“Which insurer responds best and fastest on auto claims?”
Planner	“Is life insurance worth it? Which insurer do you recommend?”
Risk manager	“Which insurers have the best cyber risk policies for mid-size companies?”

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

The difference versus agents is brutal: an agent convinces one person per hour. AI convinces thousands per minute — and it explains coverages to the buyer better than many salespeople, with infinite patience and no apparent commission bias.

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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 line — and in what position?

We map 30 to 60 real prompts from your market (recommendation, comparison, claims, price, customer profile) 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
“Best family health insurance in [country]”	ChatGPT	Not cited	Insurer A (1st), Insurer B (2nd)
“Which insurer pays claims best?”	Gemini	Not cited	Insurer B, insurtech C
“Mandatory business insurance: who should I buy from?”	Copilot	Not cited	Insurer A — “the easiest to buy online”

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, claims rankings, policyholder reviews, financial media, comparison sites)
• Which attributes it assigns them (“the one that pays best,” “the easiest to buy from”) — attributes that should often be yours
• Which gaps they have — buyer questions nobody answers well (exclusions in plain language, reference pricing, claims processes), which are your fastest way in

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

We analyze the real prompts families, small businesses, and risk managers type: exact language, comparisons, purchase fears. 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. Guides by line, honest comparisons, and plain-language coverage explanations 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 insurers it understands. We build the structured presence of your company and each product (what it covers, who it’s for, exclusions, claims process) 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, comparison sites, and the places where AI tracks validation — aligned with 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

Today — without AI visibility: “What’s the best [your line] insurance for [profile]?” → AI names three competitors, with their sources. Your company doesn’t appear. The buyer gets a quote from someone else.

With Kanalytics — cited as the reference: → AI names your company first, with the right attribute (“known for fast payouts and 100% online enrollment”) and with your site as the source. The buyer arrives at the agent already convinced.

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What the conversation with you would look like

When we sit down with an insurer, we don’t sell smoke: we ask questions. We start by understanding your operation — where your new policies come from today, how much depends on the agent network and bank channels, and how a buyer researches before signing.

Then we show you what we found: what AI answers when someone looks for the lines you sell, which insurers are occupying your place, and — most importantly — how many buyers made their decision without knowing you. In a business of recurring premiums, every policy AI hands your competitor isn’t one lost sale: it’s years of lost premium.

And our commercial stance is direct: we teach you something about your market you didn’t know (who’s winning AI answers in your line), 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 insurance moves faster than other sectors

Three reasons we see in the data:

1. Complexity pushes buyers toward AI. Nobody reads a full policy; everyone asks someone. That “someone” is now AI — and it explains coverages 24/7.
2. Winning attributes are few and heavily repeated. “The one that pays best,” “the easiest to buy from”: whoever captures those attributes in AI harvests them in every quote in the market.
3. Premiums are recurring. Every customer AI hands you isn’t worth one sale: they’re worth years of premium. And every one you lose is too.

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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 insurers occupying your place today in the answers, and the sources AI uses to recommend them
• Your line’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.