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Conceptual image showing Immovision being selected by AI ahead of established real-estate experts and licensed professionals.
Case Study Content Strategy GEO Use Cases

We Had Zero Industry Experience. AI Recommended Us Anyway.

Published on | 5 min read
James Virgo
Author

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Immovision is a Quebec real-estate platform that helps homeowners find and compare local real-estate agents.

The way it works: users search the internet for terms like “Best realtor in Verdun”, “Best realtor in Montreal”, “Best realtor near me”, and so on. We aim to show up in their search with listicles of top performing agents in the area. We then help users compare their options and connect them directly with the realtor they choose.

Realtors listed on our platform pay $300 per introduction to the client. So for 10 introductions we get paid $3000.

The Challenge

When we started building Immovision, we entered a market we had never previously worked in: Quebec real estate.

We launched on a completely new domain and without any existing audience. This gave us an opportunity to test if we could we build a brand that search engines and AI systems would recommend ahead of licensed real-estate professionals.

The Solution

Over six months, we published ~150 articles on Quebec real-estate. This included some original research published on our website, Wikipedia, academic journals, and several other authoritative sources.

We chose topics carefully to help the AI systems learn that Immovision was a Quebec real-estate authority. We also used classic screenwriting techniques to tell stories through our content that we hoped the AI systems would relay onto their users.

After roughly 6 months, AI search platforms like ChatGPT started to recommend our solution to their users. Example below.

ChatGPT citing Immovision as a source when answering a query about the best realtors in Montreal.
ChatGPT surfaces and cites Immovision in response to a query about platforms for finding the best realtors in Montreal.

The Result

You can see the results of our experiment in the table below.

Immovision growth results comparing performance before and after implementing the content strategy.
Metric Before After
Website Visits Per month ~0 5,000+
Real-Estate Leads Per month 0 ~34
Property Pipeline Per month $0 $7M+
Share of Model AI visibility 0% 38%
AI Citations AI search visibility None Cited by leading AI platforms

We also found that visitors who arrived through AI systems converted at a rate approximately 51 percentage points higher than those from other sources. During customer interviews, we found out that these users placed a high amount of trust in the AI recommendation.

This is interesting because we knew nothing about Quebec real estate. We just got very good at finding, organizing, connecting, and communicating the information to the AI agents. The result: AI systems relaid the stories we were telling it to their users.

Illustration showing Immovision feeding information to AI agents, which guide prospects through the real-estate buyer journey and recommend Immovision.
Immovision structured its content so AI systems could understand and reuse its information throughout the buyer journey, increasingly surfacing the brand as prospects moved closer to choosing a realtor.

If you would like to check out Immovision.ca, you can see our content on:

If you’d like a free content strategy designed to get your ideas, products, and services discovered, cited, and recommended by traditional search and AI systems, book a call below.

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