Retail & e-commerce sector: how we position your products above competitors in ChatGPT, Gemini and Copilot

Quick answer: consumers already ask ChatGPT, Gemini, and Copilot which brand to buy, which product is better, and where to get it — and AI answers with 2 to 4 concrete options with arguments. If your brand isn’t in that answer, the purchase was decided without you. Our methodology audits what AI says about your category, why it recommends other brands, 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 retail and e-commerce companies: consumer brands, online stores, omnichannel retail, and manufacturers selling direct.

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

For years, consumer sales depended on three channels: search, marketplaces, and ads. Today there’s a fourth channel that sells no ads, charges no commission, and doesn’t appear in your attribution dashboard — but already decides which brands 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
Comparing consumer	“What’s the best [category] brand in Colombia?”
Budget shopper	“What [product] should I buy with a budget of [amount]?”
Loyal customer in doubt	“Compare [your brand] and [competitor]: which is more worth it?”
Gift buyer	“What [product] do you recommend as a gift for [person type]?”
Informed shopper	“What do users say about [competitor brand]? Are there better options?”

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

The difference versus marketplaces is brutal: on a marketplace you competed for the buy box and reviews. In AI, the consumer gets a direct recommendation — “buy this one, it’s the best value for money” — and arrives at your store (or your competitor’s) with the decision already made.

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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, budget, use case, occasion) and run them recurrently across the 6 main engines. The result is your visibility score per engine:

Sector prompt	Engine	Your brand	Who appears in your place
“Best [your category] brand in [your market]”	ChatGPT	Not cited	Brand A (1st), brand B (2nd)
“What [product] to buy with a budget of [amount]?”	Gemini	Not cited	Brand B, brand C
“Compare [your brand] with [competitor]”	Copilot	Described with errors	Competitor — “the best value for money”

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 store, reviews, media comparisons, category rankings, communities)
• Which attributes it assigns them (“the best value for money,” “the best after-sales service”) — attributes that should often be yours
• Which gaps they have — shopper questions nobody answers well (honest comparisons, usage guides, warranties), which are your fastest way in

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

We analyze the real prompts consumers in your category type: exact language, comparisons, purchase objections. That research becomes the content map your brand 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. Buying guides, comparisons, and complete product pages that directly answer the questions consumers ask AI — with the structure, data, and references engines need to cite you as an authoritative source. We deliver it ready to publish.

2. Entities and digital authority. AI recommends brands it understands. We build the structured presence of your brand and each product line (what it is, who it’s for, differentiators, warranties) 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 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 [your category] brand do you recommend?” → AI names three competitors, with their sources. Your brand doesn’t appear. The consumer buys another — often without knowing you exist.

With Kanalytics — cited as the reference: → AI names your brand first, with the right attribute (“the best value for money in the market, with fast shipping”) and with your store as the source. The consumer arrives at checkout already convinced.

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What the conversation with you would look like

When we sit down with a retail brand, we don’t sell smoke: we ask questions. We start by understanding your operation — how much of your sales arrives today via marketplaces, your own store, and physical retail, and how a consumer decides between your product and the one next to it.

Then we show you what we found: what AI answers when a consumer searches your category, which brands are occupying your place, and — most importantly — how many purchases never even reached your funnel because the consumer built their shortlist without knowing you. If every month a larger share of those decisions gets answered by AI naming your competitor, that deficit has a concrete cost in sales and market share worth seeing in numbers.

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 retail moves faster than other sectors

Three reasons we see in the data:

1. The purchase question is direct and frequent. “Which brand do you recommend?” is among the most common consumer queries in AI — and the answer converts into a purchase in the same session, with no friction.
2. The recommendation arrives with the decision made. The consumer who arrives cited by AI converts several times better than the one arriving from an ad: they’re not coming to discover, they’re coming to buy what was already recommended to them.
3. Attributes consolidate fast in consumer categories. Retail categories get asked thousands of times a day: whoever wins the attribute (“the best value for money”) harvests it at scale — and whoever loses it, pays for it at scale.

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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 brands 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.