SEO for Real Estate Agents in 2026: AI Names the Agent HomeLight Ranks, Not Your Website. Our 5-City Test

Real estate SEO for AI search runs through agent-ranking sites. On October 16, 2026 we asked AI for the best real estate agent in Austin, Dallas, Houston, Phoenix and Charlotte: the first agent named came from HomeLight in all 5, Zillow supplied 18 of 50 sources, and no agent website was read. The data, the Texas TREC rules and the fix list.

JM
Justin McKelvey
October 16, 2026

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How does AI pick a real estate agent to recommend?

From agent-ranking sites, not from agent websites. On October 16, 2026 we asked an AI search engine for "the best real estate agent" in Austin, Dallas, Houston, Phoenix and Charlotte. In all 5 cities the first agent named came from HomeLight's top-agents page, quoted with a HomeLight rating. Zillow supplied 18 of the 50 sources, mostly ZIP-code agent pages, and not one source was an agent's or brokerage's own website. Real estate SEO for AI search in 2026 means your profiles on those sites, the neighborhoods they tie you to, and the sales numbers buyers are told to ask for.

The test: "best real estate agent" in five metros

How we ran it: Perplexity's Sonar model, web search on, one question per metro on October 16, 2026, with every cited URL saved. Run it tomorrow and some agents will differ. Which sites got read is the part worth acting on.

MetroFirst agent named, as quotedHomeLightZillow pagesOther sources
Austin, TX5.0/5 from 191 reviews (HomeLight)14 (city + 3 ZIP codes)Homes.com (2), FastExpert, BiggerPockets, Ark7
Dallas, TX5.0/5 from 83 reviews (HomeLight)2 (city + county)3 (city + 2 ZIP codes)Homes.com (2), FastExpert, BiggerPockets, Ark7
Houston, TX5.0 from 125 reviews (HomeLight)14 (city, 2 ZIP codes, 1 area)Homes.com, FastExpert, Realtor.com, Yelp, Clever
Phoenix, AZ5.0/5 from 158 reviews (HomeLight)13 (city + 2 ZIP codes)Homes.com (2), FastExpert, Redfin, BiggerPockets, Ark7
Charlotte, NC5.0/5 from 38 reviews (HomeLight)14 (city + 3 ZIP codes)Homes.com, FastExpert, BiggerPockets, Ark7, Expertise.com

Three things stand out:

  • Review count did not decide it. Charlotte's first pick had 38 reviews. What every first pick had was a top-agents placement on HomeLight, and the answer led with it.
  • Zillow is read by ZIP code. 12 of the 18 Zillow pages were ZIP-code agent-review pages and one more was an area page. AI went looking for agents tied to specific parts of town.
  • Every answer handed the buyer the same checklist. All 5 told people to ask for recent sales in their neighborhood and price range, 4 of 5 to interview two or three agents, and 4 of 5 named days on market and sale-to-list ratio. Those numbers are the test you are being graded on before anyone calls.

A specific buyer question reads individual profiles

We also asked "best realtor for first time home buyers in Houston, TX." All 10 sources were individual pages: six on HAR.com, the Houston Association of Realtors' public site (four agent profiles, an office page and HAR's own first-time buyer guide), plus single agent profiles on Zillow, Homes.com, Realtor.com and Redfin. Every agent named was taken from one of those profiles. Again, zero agent websites.

So in Houston your HAR.com profile does the work. Most metros have an MLS or association site with public agent profiles, and that profile is likely to matter where you work too.

SEO for real estate agents: the fix list

  1. Zillow, Homes.com and Realtor.com profiles, filled in. Claim each one, link your past sales, and ask every closed client for a review there. The Zillow pages AI read were organized by ZIP code, so the more of your closings and reviews that sit in the ZIPs you want, the more of those pages can list you.
  2. Your MLS or association profile. Complete bio, the neighborhoods you work, designations, languages, and a photo. In Houston it was 6 of 10 sources for the first-time buyer question.
  3. HomeLight and FastExpert. Both were read in all 5 metros. Check that your profile on each is accurate and shows your recent transactions, and read the terms before you agree to any referral program.
  4. Publish the numbers buyers are told to ask for. A page per neighborhood you work with your recent sales there, average days on market and sale-to-list ratio, dated. If your answer is "ask me," the AI has nothing to quote.
  5. Google Business Profile. Real estate agent as the primary category, your service areas, and reviews that name the neighborhood and whether you represented the buyer or seller.
  6. Schema markup. schema.org has a RealEstateAgent type (a LocalBusiness). Use it on your site with your brokerage, service area and license details.
  7. Texas compliance on every page and profile. Under 22 Tex. Admin. Code §535.155, every advertisement, including websites and social media, must show the license holder's or team's name and the broker's name at least half the size of the largest contact information. Under §531.20, your business website's homepage needs a readily noticeable link to your completed Information About Brokerage Services notice, labeled with TREC's required wording. Other states have their own versions; check yours.

What is one more AI recommendation worth to an agent?

One closing. We did not find a current national commission figure we could read and cite today, and commissions are negotiable, so use your own average gross commission per side. A worked example you can change: if one buyer a quarter finds you through an AI answer and you close half of the people who interview you, that is two extra closings a year. At $8,000 a side (an example, not a market figure), that is $16,000, and the clients refer the next ones. For scale, NAR reported September 2026 existing-home sales at a 3.99 million annual rate, with inventory up to 1.60 million homes.

Who can do SEO for a real estate agent?

Most of the list is profile work you can do between showings, and the neighborhood numbers come from your own closings. To be clear about who is talking: SuperDupr, the company Justin McKelvey runs, ran this test and built the check, and we sell the done-for-you version, Local AI Search, $297 a month with no setup fee, month-to-month: we keep your Google profile, directory profiles, neighborhood pages and schema current, and each month we re-ask AI who the best agent is in your market and send you who it named and which pages it read. First, run the free AI Visibility Check for real estate agents and see who AI recommends in your city right now.

If you also want a firm to run your site and ads, see SEO and digital marketing for real estate. For lead response once the AI sends someone, see AI for real estate agents. Lawyers face the same ranking-site pattern; our SEO for lawyers test found every answer naming an attorney from Best Lawyers or Super Lawyers.

Sources

  • SuperDupr AI test, October 16, 2026: "best real estate agent in [city]" for Austin, Dallas and Houston TX, Phoenix AZ and Charlotte NC, plus "best realtor for first time home buyers in Houston TX", run once each on Perplexity's Sonar API with web search. Agents named are those the answer listed; sources are the URLs it cited. We list ratings, not agents' names.
  • 22 Tex. Admin. Code §535.155 (Advertisements) and §531.20 (Information About Brokerage Services), read October 16, 2026 at law.cornell.edu.
  • schema.org RealEstateAgent type, read October 16, 2026.
  • National Association of Realtors, Existing-Home Sales page (nar.realtor), read October 16, 2026: September 2026 sales 3.99 million, inventory 1.60 million. The one-buyer-a-quarter rate, 50% close rate and $8,000 commission are SuperDupr example figures.

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