Software & tech sector: how we position your product above competitors in ChatGPT, Gemini and Copilot

Quick answer: the B2B software buyer uses AI for research more than any other buyer: 51% now start in a chatbot, and AI is today the biggest influence on vendor shortlists — above review sites and your own website. If your product isn’t in the answer, you’re not in the evaluation. 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 software and technology companies: B2B SaaS, custom development, integrators, cybersecurity, data, and digital products.

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What’s happening in your sector (and you of all people should know)

There’s an irony in tech: the companies building the digital future still compete for customers with yesterday’s rules — ads, outbound, events — while their buyer, the most digital of all B2B buyers, has already switched channels.

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

Who’s asking	Real prompt
CTO at a mid-size company	“What’s the best CRM for a 50-person company in Latin America?”
Operations manager	“Compare [product A] and [product B] for inventory management”
Startup founder	“What alternatives to [market leader] exist with better pricing?”
IT director	“Which cybersecurity companies work with banks in Colombia?”
Data lead	“Which analytics platform integrates best with [their stack]?”

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

The stat that changes everything: 1 in 3 software buyers ends up purchasing a product they had never heard of before AI surfaced it. AI isn’t just filtering your existing demand — it’s creating demand for others.

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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, alternative, integration, pricing, segment) and run them recurrently across the 6 main engines. The result is your visibility score per engine:

Sector prompt	Engine	Your product	Who appears in your place
“Best [your category] software for mid-size companies”	ChatGPT	Not cited	Competitor A (1st), Competitor B (2nd)
“Alternatives to [market leader] with better Spanish support”	Perplexity	Not cited	Competitor B, product C
“Which [your category] platform integrates with [popular stack]?”	Gemini	Not cited	Competitor A — “the easiest to implement”

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 documentation, review sites, third-party comparisons, technical communities, specialized media)
• Which attributes it assigns them (“the best for mid-market,” “the fastest support”) — attributes that should often be yours
• Which gaps they have — evaluator questions nobody answers well (pricing, migration, security), which are your fastest way in

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

We analyze the real prompts your buying committee types: the technical lead asks about integrations and security, finance asks about total cost and returns, the end user asks about ease of use. That research becomes the content map your product 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. Honest comparisons, alternative pages, selection guides, and data-backed cases that directly answer the questions evaluators 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 products it understands. We build the structured presence of your company and each product (what it does, who it’s for, differentiators, integrations) 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, review profiles, and communities where AI tracks validation — aligned with the topics your evaluators 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 category] for a [your segment] company?” → AI names three competitors, with their sources. Your product doesn’t appear. The demo you were never asked for got booked with someone else.

With Kanalytics — cited as the reference: → AI names your product first, with the right attribute (“the best for growing companies, with implementation in weeks”) and with your site as the source. The evaluator arrives at the demo already convinced.

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What the conversation with you would look like

When we sit down with a software company, we don’t sell smoke: we ask questions. We start by understanding your revenue engine — how much of your pipeline arrives today via inbound, outbound, and referrals, and how your buyer evaluates before booking a demo.

Then we show you what we found: what AI answers when someone searches your category, which competitors are occupying your place, and — most importantly — how many evaluators built their shortlist without knowing you. In a sector where 69% of buyers switched vendors based on what AI told them, that invisible pipeline has a concrete cost in ARR 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 product, 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 software moves faster than any other sector

Three reasons we see in the data:

1. Your buyer is AI’s power user. Nobody researches with chatbots more than the technology buyer: AI is today the biggest influence on software shortlists — above reviews, websites, and salespeople.
2. The source ecosystem favors you. Documentation, comparisons, reviews, communities: the software world already produces exactly the kind of content AI tracks. You just have to win it.
3. AI’s recommendation outweighs your ads. 85% of buyers think more highly of a vendor when AI cites it. In tech, being “the one ChatGPT recommends” is the cheapest, most credible credential that exists.

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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.