Peek has evolved into what its team calls answer engine optimization for multifamily housing. Rather than only tracking whether an AI model mentions a brand name, Peek measures every individual apartment community against the properties it actually competes with in its local market. Each community is re-assessed monthly across ChatGPT, Claude, Gemini and Perplexity, producing an AI visibility score, ranking against nearby competitors, traffic and citation sources, and a concrete list of fixes the models appear to reward. The company publishes recurring research from this dataset, including an AI Discovery Black Book built from thousands of assessments.
The second half of the product is conversion. Because renters increasingly arrive already informed by an AI answer, Peek pairs visibility work with unit-level 3D tours and AI-powered self-guided touring, so a prospect can walk through the exact unit they would lease and submit an application inside the tour experience. The platform reports on engagement per unit and per room, and the vendor ties this directly to vacant-day reduction at customer communities.
The product is aimed at portfolio-level operators and their marketing teams and is sold through demo-led enterprise engagement rather than self-serve signup. Customer stories on the site describe large communities moving from the middle of their market to the top few in AI visibility within months, alongside measurable reductions in vacant days. A free initial AI visibility report is offered as an entry point.
