Does AI search visibility actually matter for real estate businesses?+
Yes, because property questions combine location, property type and process, and assistants heavily favour sources with current, structured listing data. Those questions are increasingly asked of an assistant first, and the shortlist that comes back is the shortlist that gets contacted. Portals already own the transactional layer; losing the advisory layer too leaves no direct acquisition channel.
What is the single most common problem you find in this category?+
Listing data is rendered client-side, area guides are copied templates, and process content is generic to the point of uselessness. It is usually fixable within a few weeks because the underlying data already exists internally; it simply is not published in a form a machine can read.
Which attributes matter most here?+
Coverage area, property types, tenure and scheme types, fee structure, regulatory memberships, process timelines. Those are the dimensions buyers state when they ask, so those are the dimensions an assistant matches against.
What kind of third-party signals help in real estate businesses?+
Regulatory bodies, land registry data and established property portals form the citation base. We prioritise those specific sources rather than chasing generic link volume, because relevance and verifiability matter far more than count in AI retrieval.
How is this different from ordinary SEO?+
It shares the technical foundations — crawlability, rendering, structure — but the target changes. Classic SEO competes for a position in a list; this competes to be the source a model paraphrases, which rewards explicit data, honest qualifiers and independent corroboration.
How quickly do we see movement, and what does it cost?+
Long-tail and comparison questions typically shift in 30–90 days once the data and pages ship. The forensic audit is $4,500 and ongoing engagements are scoped per brand. Implement our 90-day plan and if you do not see movement in 3–6 months, we refund our fees in full.