Generative Engine Optimization for Real Estate & PropTech

Real estate and proptech sit at the intersection of local and category search, where AI answers increasingly drive both consumer and B2B discovery. We run your category’s buyer-intent prompts across five engines, score your AI Share of Voice against competitors, map the sources AI engines cite, and build the content and distribution to win the answer.

Representative examples include “best CRM for real estate brokers”, “top property management software”, “best real estate platforms in [city]”. We build a full corpus of 200–500 prompts tailored to your specific category.

In Real Estate & PropTech, citations frequently come from industry directories, Reddit, local publications, review sites, YouTube. Your audit maps the exact URLs winning in your category — usually ~20 sources drive most citations.

Location + category programmatic pages plus presence in the directories and communities AI engines cite for property decisions. Concretely: Build location + category programmatic pages with schema. Maintain accurate directory and listing presence. Earn presence in the local communities AI engines cite. Start with a free snapshot, then a full audit to prioritize the highest-impact moves.

For Real Estate & PropTech, we focus on mention rate for “best [category] in [city]” prompts, share of voice vs. local and national competitors, citations from directories and local publications. These are the leading indicators that move before traffic does and predict your share-of-voice gains.