Brokerages, agents, and proptech platforms now compete with AI Overviews that answer "best neighborhoods in X" directly. We engineer the local entity, schema, and citation work that wins both blue links and AI mentions.
Real estate is one of the most hyper-local search verticals there is — and AI Overviews now answer neighborhood, market, and "is now a good time to buy in X" queries directly. The brokerages winning have engineered every neighborhood page, every agent entity, and every market report to be cited by both Google and AI.
We rebuild neighborhood and market pages with RealEstateAgent + Place + AggregateRating schema, internal linking, and the data-rich answer blocks AI engines extract.
Every agent gets a verified entity — license, sameAs, bylined market reports — so AI engines can attribute commentary and cite the brokerage when asked about a market.
MLS-fed listings quietly create duplicate content and crawl bloat. We engineer the canonical, indexing, and schema strategy that keeps listings cited without burning crawl budget.
AI Overviews answer "best neighborhoods for families in X" with named sources. We engineer the brokerage entity, citation publications, and market commentary that gets your brand named.
We can promise this because our methodology already works. Hundreds of pages now sit in position #1 across our clients' catalogs. The risk shouldn't be on you — it's on us.
All three. Brokerages get architecture + agent entity work. Solo agents get personal-brand entity engineering. Proptech platforms get marketplace-style schema + content strategy.
We engineer the canonical + indexing strategy that keeps the brokerage's listings cited without triggering duplicate-content suppression. Sold and stale listings get noindex thresholds.
Yes — for specific markets and buyer queries. AI Mode increasingly answers "best brokerage for first-time buyers in [city]" with named brands. Brokerages without entity work get skipped.
Three layers, in order. First, entity clarity: one canonical Organization with @id anchors, sameAs links to authoritative databases, and knowsAbout coverage of your real expertise. Second, extractable content: atomic answer blocks, comparison tables, transparent pricing and specs, and FAQ blocks on every commercial page. Third, corroboration: mentions in the roundups, directories, review platforms, and trade publications those engines retrieve. Measure it by probing a fixed set of buying questions monthly and tracking citation frequency per engine.
Citability. AI engines lift passages that answer one question completely in 40–80 words, in plain language, with a concrete number, definition, or list. Pages that bury the answer under narrative rarely get quoted. We rewrite key pages so every important question has a self-contained answer block, wrapped in schema that labels what it is.
Yes, because AI answers are built from indexed pages. Every major assistant retrieves from a crawled index, so pages that aren't crawlable, renderable, or structured never enter the candidate pool. Classic SEO is now the entry requirement for AI visibility, and the two programs share almost all of the same work.
Technical recovery and on-page work typically show movement in 30–60 days. AI citation lift on long-tail and comparison queries usually lands in 30–90 days. Category-level authority and head-term rankings are a 6–12 month curve. Every engagement ships a sequenced 90-day plan so early wins fund the long work.
You get a forensic audit, a prioritized 90-day execution plan with effort and impact scoring, and optional done-for-you implementation by our engineers and editors. Pricing is scoped per engagement based on catalog size, locale count, and whether you want execution included. Implement our 90-day plan and if you don't see results in 3–6 months, we refund you in full.
Audits scoped within 24 hours. Results within 90 days, or your money back.
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