Live database

GEO for Real Estate

How AI engines choose and recommend real estate agents today.

We run real buyer prompts against ChatGPT, Gemini, Perplexity with web search on, and record which real estate agents they name and which sources they cite. This page is one live view into that dataset - it updates as new probes land.

Updated Jul 18, 202615 prompts analyzed41 citations51 brands detected
Top cited domain
realestatealmanac.com
5 citations · 12% of all
Most active engine
ChatGPT
61% of citations
Top source type
Other
63% of citations
Data as of
July 18, 2026
trends unlock after two cycles
1

What buyers ask AI

Real questions people put to AI assistants about real estate agents.

Best real estate agent near meRealtor for first-time buyersBest brokerage to sell my houseTop luxury real estate agentProperty management company reviewsBest real estate platform to browse homesHow to choose a realtorDiscount real estate brokerBest commercial real estate agencyInvestor-friendly real estate agent
2

What AI actually recommends

Probed from a United States context · July 18, 2026

Live answers per engine - exactly what each one named, in order.

PromptChatGPTGeminiPerplexity
Best real estate agent
  1. Ben Caballero
  2. HomesUSA.com, Inc.
  3. Dallas, TX
  1. Keller Williams
  2. RE/MAX
  3. Coldwell Banker
  1. Zillow
  2. Realtor.com
  3. Certified Residential Specialist
Best realtor for first-time home buyers
  1. REALTOR®
  2. Realtor.com®
  1. Zillow
  2. Realtor.com
  1. local realtor
  2. mortgage lender
  3. Zillow
Best real estate brokerage to sell my house
  1. Compass
  2. Anywhere Advisors
  3. eXp Realty
  1. Keller Williams
  2. RE/MAX
  3. Coldwell Banker
  1. Redfin
  2. Compass
  3. Keller Williams
Best property management company
  1. Greystar Real Estate Partners
  2. Asset Living
  3. RPM Living
  1. Greystar
  2. Cushman & Wakefield
  1. Greystar
  2. Greystar Real Estate Partners
  3. Asset Living
Best online real estate platform
  1. Zillow
  2. Realtor.com
  3. Redfin
  1. Zillow
  2. Realtor.com
  3. Auction.com
  1. Zillow
  2. Realtor.com
  3. Redfin
3

AI ranking factors

Where these engines actually look before naming anyone - citation share by source type.

Other63% · 26
Directories24% · 10
Social5% · 2
Wikipedia2% · 1
Reddit / Forums2% · 1
Reviews2% · 1

Shares are computed from the sources engines actually grounded on in our real-estate probes - not an editorial guess. Unknown domains land in “other” and get reviewed monthly.

The United States sources that matter for real estate agents

Zillowzillow.com
Agent profiles with sales history and reviews - the dataset engines quote for people-prompts.
Realtor.comrealtor.com
NAR-affiliated marketplace; profile completeness feeds recommendation confidence.
Redfinredfin.com
Marketplace + agent layer, frequently cited for platform prompts.
Google Business Profilegoogle.com
Local entity + review stream engines resolve for near-me intent.
NAR / Realtor statusnar.realtor
Association verification - a credential engines can check.
LinkedInlinkedin.com
Entity consistency layer for agent identity and brokerage affiliation.
4

Engine comparison

How differently each engine sources its answers - share of that engine's citations per source type.

SourceChatGPTPerplexity
Directories★★★★★★★★★★
Social★★★★★★★★★★
Reddit / Forums★★★★★★★★★★
Wikipedia★★★★★★★★★★
Reviews★★★★★★★★★★

Stars are banded from real citation shares in this vertical - hover any cell for the exact number.

5

How real estate agents win AI visibility

What the data above means in practice - and the playbook that follows from it.

Real estate prompts split between platforms and people, and engines handle them very differently. Platform prompts (“best site to browse homes”) resolve to the giant marketplaces - Zillow, Realtor.com, Redfin - and are effectively closed to everyone else. But people prompts (“best realtor for first-time buyers”) are wide open: engines assemble answers from agent profiles on those same marketplaces, Google Business reviews, team pages and local press. The winning insight is that the marketplaces are not your competition for people prompts - they are your distribution. An agent with a complete, review-rich Zillow profile is inside the dataset engines quote; one without is invisible.

Transaction evidence is the currency of this vertical. Engines qualifying an agent recommendation reach for countable proof: sales volume, years active, review counts, and the specific neighborhoods and price bands in past transactions. Profiles that surface this data - and personal sites that repeat it consistently - give engines the confidence to name an individual. Vague bios (“passionate about helping families find home”) provide nothing quotable. The differentiator prompts buyers actually use - first-time buyers, investors, luxury, relocation - reward agents whose public evidence names those exact segments.

01

Complete your marketplace profiles

Zillow, Realtor.com and Redfin agent profiles with sales history, service areas, segments and active review collection - this is the dataset engines quote.

02

Collect segment-specific reviews

Ask clients to mention their situation (first-time, investor, relocation) - that text is what wins the qualifier prompts buyers actually ask.

03

Publish real market numbers

Neighborhood market reports with actual data, updated on a schedule. Owning the informational layer pulls you into the recommendation layer.

04

Verify and unify your entity

Same name, brokerage, photo and phone across Zillow, Google Business, LinkedIn and your site - plus visible license number and NAR status.

05

Build one page per niche

First-time buyers, investors, luxury, relocation: a real page each, with proof. Matches the exact prompt shapes engines answer.

06

Track your area's prompts

Run the buyer prompts monthly, watch which platforms and agents get named in your market, and close the specific source gaps.

Treat Zillow as distribution, not competition
For people-prompts, engines quote marketplace agent profiles. A rich profile there IS your AI presence - starve it and you starve the answer.
Win the “how to choose” layer
“How to choose a realtor” precedes most agent picks. An honest, non-salesy guide from a named agent earns citations and frames the criteria you happen to meet.
Get quoted in local press
Market-commentary quotes in local news are high-authority citations engines love. Pitch data from your own market reports to local journalists.
Mind teams vs individuals
Engines name whichever entity has the cleaner evidence. Decide whether the team or the lead agent is your AI-facing entity and concentrate reviews and content on it.
6

FAQ

Answers to common questions about this report.

Does SEO work for realtors in the AI era?
Yes, but it has shifted: the goal now includes being named inside AI answers (GEO), not just ranking a website. The levers move toward marketplace profiles, review text, and local market content - exactly what this page measures.
What is the best AI strategy for a real estate agent?
Complete marketplace profiles with transaction evidence, segment-specific reviews, real market-data content, and a verified consistent entity across sources. Then track the prompts for your market monthly and fix the weakest source.
Which sources do AI engines cite for real estate?
In our probes: the marketplace layer (Zillow, Realtor.com, Redfin), Google Business reviews, and local press/market content - see the live source mix above for the current split.
Why don’t the prompts include a city?
Engines localize to the person asking, so we probe with country-qualified prompts. Your own city and neighborhood visibility is what a brand-level scan measures for you or your brokerage.
How can I get started?
Run a free AI visibility scan with your name or brokerage. In about two minutes you’ll see where you appear across engines, which sources cite you, and what to fix first.

See where your brokerage appears across all AI engines.

The data above is the industry view. Run a free scan to get the same report for your brokerage: where you show up, who outranks you, and what to fix first.

Zene dashboard: a brand's AI visibility score, the next automatic scan, and per-engine cards for ChatGPT, Claude, Gemini and Perplexity