Altarea Cogedim, a leader in large-scale urban development and new-build real estate, partnered with Kleio to transform its digital discovery process into a high-performance lead generation engine — solving the data problem that makes real estate one of the most complex sales environments in any industry.

Buying new-build property involves navigating an intricate matrix of criteria: location, floor plan options, tax eligibility schemes, pricing tiers, and regulatory constraints. Traditional search filters couldn’t capture this complexity, and human agents could only handle so many inquiries at once. Altarea Cogedim deployed Kleio’s Agentic Commerce platform — powered by Kleio’s Knowledge Engine, which unifies the full product catalog into a purpose-built data structure that understands real estate natively: programs, lots, eligibility rules, and relational attributes — without requiring custom data modeling from scratch.

The result is a virtual property consultant that operates 24/7, engaging high-intent prospects in natural conversation, understanding their specific life project, and instantly surfacing the most relevant programs from the catalog. Rather than losing prospects who research outside office hours, Altarea Cogedim now captures them at peak intent — qualifying them in real time and handing them off to sales teams with a complete, structured profile of their requirements.

Deployed within weeks, the platform delivered a 30% increase in online lead volume while cutting cost per acquisition by 50% compared to the previous live chat solution. This case demonstrates a broader truth about Agentic Commerce: even in high-complexity, lower-volume catalogs, solving the data problem first is the fastest path to more leads at lower cost.

Looking ahead, Kleio’s architecture also positions Altarea Cogedim for the next wave of demand generation. As property searches increasingly originate within AI assistants and platforms like ChatGPT and Gemini, the same Knowledge Engine that powers the on-site experience can serve as the data layer for AI-native discovery — ensuring the brand is present wherever high-intent buyers begin their journey.

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