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.
What buyers ask AI
Real questions people put to AI assistants about real estate agents.
What AI actually recommends
Probed from a United Kingdom context · July 18, 2026Live answers per engine - exactly what each one named, in order.
| Prompt | ChatGPT | Gemini | Perplexity |
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| Best real estate agent |
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| Best realtor for first-time home buyers |
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| Best real estate brokerage to sell my house |
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| Best property management company |
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| Best online real estate platform |
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AI ranking factors
Where these engines actually look before naming anyone - citation share by source type.
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.
Engine comparison
How differently each engine sources its answers - share of that engine's citations per source type.
| Source | ChatGPT | Perplexity |
|---|---|---|
| Wikipedia | ★★★★★ | ★★★★★ |
| Social | ★★★★★ | ★★★★★ |
Stars are banded from real citation shares in this vertical - hover any cell for the exact number.
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.
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.
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.
Publish real market numbers
Neighborhood market reports with actual data, updated on a schedule. Owning the informational layer pulls you into the recommendation layer.
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.
Build one page per niche
First-time buyers, investors, luxury, relocation: a real page each, with proof. Matches the exact prompt shapes engines answer.
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.
FAQ
Answers to common questions about this report.
Does SEO work for realtors in the AI era?
What is the best AI strategy for a real estate agent?
Which sources do AI engines cite for real estate?
Why don’t the prompts include a city?
How can I get started?
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.
