Local AI SEO: be the real estate agent ChatGPT recommends

36.6% of AI citations on "best real estate agent near me" searches in the 100 largest US cities came from Google Business Profile, and 72.5% of Google AI Mode's (Local Falcon, The Realtor AI Visibility Index, August 2026).

"Best realtor in South Tampa for a first home" and "who sells homes fastest in Arcadia, Phoenix" are questions people now put to ChatGPT, and the answer is a short list of agents for that one area. In our 500-Query Houston study of September 2026, 82.6% of the agents, teams and brokerages named appeared in just one of 40 Houston areas, so in Houston at least, AI visibility is decided neighborhood by neighborhood. Local AI SEO for real estate agents works the sources behind those lists, from your Google Business Profile and reviews to your Zillow and Realtor.com profiles and the neighborhood pages on your site, then re-runs your area questions to show which neighborhoods name you. 94% of the Houston Association of Realtors' 50,000-plus members went unnamed in 2,000 AI answers (CiteVantage 500-Query Houston study, September 2026). 26.6% of what AI says about agents in the average US city goes to a single agent (Local Falcon, The Realtor AI Visibility Index, August 2026).

Six signals, and an engine that cannot confirm them tends to name someone else.

An engine checks each of them without taking your word for it. What it looks for, and where it lives:

• Google Business Profile. Categories, service areas and reviews, the largest single source of AI citations on agent searches in Local Falcon's data. Where it lives: Google Maps and Business Profile.
• Portal and directory consistency. The same name, brokerage and phone on every profile, so the engine can tell your listings and reviews belong to one agent. Where it lives: Zillow, Realtor.com, Homes.com, Facebook and MLS directories, or realestate.com.au and Domain.
• Review recency and substance. Recent reviews that name the neighborhood and the type of home, instead of a burst of one-line ratings from years ago. Where it lives: Google, Zillow and Realtor.com.
• Neighborhood answer pages. Answers to what buyers ask about one area, from schools to what sells quickly, in sentences an engine can lift. Where it lives: Your own website.
• Sold and closed-deal proof. Closed sales listed in text by street or subdivision and price band, checkable against portal history. Where it lives: Area pages and portal history.
• RealEstateAgent schema. Machine-readable name, brokerage, license and area served, matching the Business Profile. Where it lives: Your website markup.

Because the engines build their answers mostly from sources other than your website, and sales volume barely moves them.

In agent-level checks from our Houston study, a 17x spread in closings produced a 1.17x spread in mentions, while portals and agent referral networks took 43.6% of citations and an agent's own site appeared in roughly one naming answer in ten. The patterns we see most often:

• You close more deals than the agents AI names, but your sales record sits where the engine does not look.
• Your Google Business Profile has the wrong primary category or no service areas, and Google's AI surfaces lean on it hardest.
• Your name reads differently on Zillow, Realtor.com and your brokerage roster, which leaves the engine unsure they are one agent.
• Your reviews say "great agent, highly recommend" and never mention a neighborhood, so nothing ties you to the area.
• Your site lists the suburbs you cover in a footer and says nothing about any of them.
• Being named in one neighborhood rarely carries to the next, and nobody is checking which areas name you.

We start by putting your area questions to ChatGPT, Gemini, Perplexity and Copilot and recording which agents get named in each neighborhood you sell.

Then we finish the Google Business Profile, line up your portal profiles, set up a review routine and write the neighborhood pages, before re-running the same questions to show what moved. What we build:

• Neighborhood-level AI audit. We put the questions buyers and sellers ask about each area you work to ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews, then map which agents get named in each neighborhood before we change anything.
• Google Business Profile and map pack. Categories, service areas, real photos and a reply to every review, so the profile Google's AI surfaces read most is complete and current, with the team and agent profiles settled.
• Portal and directory cleanup. One name, brokerage and phone across Zillow, Realtor.com, Homes.com, Facebook, your MLS member directory and the agent-match sites, so every profile points back to the same agent.
• A review routine that names the area. A short ask after each closing that suggests the client mention the neighborhood and the kind of home, spread across Google, Zillow and Realtor.com so new reviews keep arriving.
• Neighborhood pages with sold proof. One page per area you sell, built around the questions buyers ask about it, with your closed sales there listed in text by street or subdivision and price band.
• Area-by-area citation tracking. Your area questions re-run every two weeks, or every week on the larger plans, across all five engines, with a plain monthly report of which neighborhoods name you and which do not yet.

Five steps, run in the same order on every local real estate engagement.

Each step depends on the one before it, so the order matters more than any single step. The steps, in order:

• Map your neighborhoods. We list the areas you sell in and write the questions buyers and sellers ask about each one, then run them on all five engines. What comes back is a grid of areas against engines, with the agents named in every cell, dated and screenshotted, which becomes the scorecard for everything after it.
• Finish the Google Business Profile. Local Falcon reported Google Business Profile as the largest single source of AI citations on agent searches in the 100 largest US cities, and 72.5% of Google AI Mode's. We fix the categories and service areas, add real photos, reply to every review and keep the profile current.
• Make every profile agree. Zillow, Realtor.com, Homes.com, Facebook, your MLS member directory and the agent-match sites should carry the same name, brokerage and phone. Portals and agent referral networks took 43.6% of citations in our Houston study, HAR alone 8.6%, so a mismatch there costs more than one on your own site.
• Publish area pages and sold proof. One page per neighborhood that answers what buyers ask about it, with your closed sales there listed in text. We write the state into the copy as well, because Houston queries carrying a state marker went to the wrong place 1.1% of the time against 4.5% without one.
• Re-test area by area. We re-run the same grid every two weeks, or every week on the larger plans, and report which neighborhoods moved. Because being named in one area rarely carries to the next, each area is tracked on its own and the next round of work goes where the gaps are.

Each engine leans on different sources, which is why we test all of them instead of guessing at one.

Engine behavior shifts with model updates, and in our 150-query study 83% of the 1,297 domains cited reached a single engine, which is why we test every engine on your area questions. What each AI engine weighs when it names a local agent:

• ChatGPT. Portal pages and review profiles; Local Falcon reported zillow.com at 39.8% and realtor.com at 18.0% of its sources on agent searches. Complete Zillow and Realtor.com profiles plus reviews that place you in an area.
• Google AI Overviews. Google's local stack, though Local Falcon reported it returned nothing on seven in ten agent-finding searches. A complete Business Profile; in Google AI Mode, profiles supplied 72.5% of sources.
• Gemini. Google's entity data plus agent profile sites; its web app showed Business Profile markers in 82 of 473 Houston answers. An accurate Business Profile and complete agent-match profiles.
• Perplexity. Live web retrieval with visible citations, often portals and local roundups. Being on the pages it cites for your area.
• Copilot. Bing's index and Bing Places. A claimed Bing Places listing that matches your Google profile.
• Grok. Live web results plus posts on X. A name people mention when they talk about your area.