Real estate & construction sector: how we position your projects above competitors in ChatGPT, Gemini and Copilot

Quick answer: buying a home is one of the most researched decisions there is, and that research now runs through AI: buyers ask ChatGPT, Gemini, and Copilot which area to buy in, which developer is trustworthy, and which project makes sense — and they receive 2 to 4 recommendations with arguments. If your project isn’t in that answer, the sales-office visit never gets booked. Our methodology audits what AI says about your market, 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 real-estate companies: developers, project builders, real estate agencies, and construction firms.

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

For years, property sales depended on three channels: sales offices, portals, and referrals. Today there’s a fourth channel with no showroom, no per-lead fee, and no presence in your CRM — but it already influences which projects get visited 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
Couple buying a home	“What are the best new housing developments in [city]?”
Investor	“Which area of [city] is best to invest in apartments?”
Cautious buyer	“Which developer is trustworthy in [city]? Who delivers on time?”
Comparing family	“Compare project [A] and project [B]: which makes more sense?”
Project manager	“Which construction companies do you recommend for industrial builds?”

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

The difference versus portals is brutal: on a portal you competed with twenty listings side by side. In AI, the buyer gets a direct recommendation — “look at this project, the developer has a solid delivery record” — and arrives at the sales office with the decision already seeded.

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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 market — and in what position?

We map 30 to 60 real prompts from your market (recommendation, area, investment, comparison, trust, project type) 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 housing developments in [your city]”	ChatGPT	Not cited	Developer A (1st), Developer B (2nd)
“Which developer is trustworthy in [area]?”	Gemini	Not cited	Developer B, builder C
“Which project is worth investing in in [city]?”	Copilot	Not cited	A’s project — “the best projected appreciation”

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, portals, real-estate media, buyer reviews, delivery news)
• Which attributes it assigns them (“the most reliable on deliveries,” “the best locations”) — attributes that should often be yours
• Which gaps they have — buyer questions nobody answers well (financing, appreciation by area, delivery processes), which are your fastest way in

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

We analyze the real prompts buyers and investors in your market type: exact language, comparisons, purchase objections. 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. Area guides, project comparisons, and pages with the data buyers look for (prices, finishes, deliveries, financing) — directly answering the questions they 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 developers it understands. We build the structured presence of your company and each project (what it is, where it is, track record, deliveries) 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, portals, 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. Scheduled around your launches and pre-sales. Clear, actionable reports, no black boxes.

The before and after

Today — without AI visibility: “What are the best housing developments in [your city]?” → AI names three competitor projects, with their sources. Yours doesn’t appear. The buyer books a visit to another sales office.

With Kanalytics — cited as the reference: → AI names your project first, with the right attribute (“from a developer with on-time deliveries and strong area appreciation”) and with your site as the source. The buyer arrives at the sales office already convinced.

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What the conversation with you would look like

When we sit down with a developer, we don’t sell smoke: we ask questions. We start by understanding your operation — where your buyers come from today, how much you depend on portals and ads, and how a family researches before reserving an apartment.

Then we show you what we found: what AI answers when someone looks for housing in your area, which developers are occupying your place, and — most importantly — how many buyers built their shortlist without knowing you. If during your next pre-sale a larger share of that research gets answered by AI naming your competitor, that deficit has a concrete cost in sales 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 area), we connect it to your specific situation (your projects, 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 real estate moves faster than other sectors

Three reasons we see in the data:

1. It’s the most researched purchase of a person’s life. Nobody buys a home on impulse: weeks of research that now start with a question to AI — and whoever appears there enters the shortlist.
2. Trust decides everything — and AI transfers it. “Trustworthy developer” is among the most frequent questions in the sector. Being the answer to that question is worth more than any billboard.
3. Cycles are schedulable. Pre-sales and launches have dates: visibility is built to be positioned exactly when the market researches most.

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