What ChatGPT, Gemini & Perplexity say about Phoenix real estate agents
When a buyer types "who are the best real estate agents in Phoenix?" into ChatGPT, Gemini, or Perplexity, which agents get named? We asked all three platforms directly in July 2026 and recorded every agent each one returned. Phoenix is a much larger market than the smaller cities we've studied so far, and it shows — the platforms disagreed with each other far more here than in Scottsdale.
(ChatGPT, Gemini, Perplexity)
named across all platforms
all three platforms
Which Phoenix agents did AI name?
Only three agents — Monique Walker, Lauren Rosin, and Carin Nguyen — were named by all three platforms when each was asked independently. Notably, Monique Walker and Lauren Rosin also appeared in our earlier Scottsdale research, which makes sense given the two markets share the same greater-Phoenix buyer pool. Below is every agent we recorded who was named by two or more platforms.
| # | Agent | Named By | Platform Count |
|---|---|---|---|
| 1 | Monique Walker | ChatGPT Gemini Perplexity | 3 |
| 2 | Lauren Rosin | ChatGPT Gemini Perplexity | 3 |
| 3 | Carin Nguyen | ChatGPT Gemini Perplexity | 3 |
| 4 | Katrina Barrett | ChatGPT Perplexity | 2 |
| 5 | Adam Bowman | ChatGPT Perplexity | 2 |
| 6 | Joan Levinson | ChatGPT Gemini | 2 |
| 7 | Scott Grigg | ChatGPT Perplexity | 2 |
| 8 | Rebekah Liperote | ChatGPT Perplexity | 2 |
| 9 | Jason Penrose (The Penrose Team) | ChatGPT Perplexity | 2 |
| 10 | Kim Panozzo | ChatGPT Gemini | 2 |
Five more agents were named by exactly two platforms (Ruben Luna, Space Team, David Arustamian, Jason Mitchell, and Joe Bourland), and 112 more by exactly one platform — almost all of them by ChatGPT alone. See the methodology note below for why ChatGPT's list is so much longer than the other two.
Only three agents were named by all three platforms — the same low overlap rate we saw in Scottsdale, just at a much larger scale. Phoenix is a big enough market that ChatGPT alone named 109 distinct agents across its queries. Being named by ChatGPT is common here; being named consistently across all three platforms is still rare.
Why the platforms disagree so much in a market this size
Each platform returned a very different number of names for Phoenix, which is worth understanding before reading too much into any single list.
ChatGPT (using live Bing search) returned by far the longest, most inclusive lists across our eight query templates — consistent with what we saw in Scottsdale, just more pronounced at Phoenix's scale. Gemini was highly selective, naming only 10 distinct agents across all eight queries. Perplexity landed in between. This means an agent's absence from a given platform's list often says more about that platform's list length than about the agent specifically.
This reflects a single research pass conducted in July 2026, where we asked ChatGPT, Gemini, and Perplexity directly for real estate agent recommendations in Phoenix, AZ, and recorded every name each platform returned. It is a point-in-time snapshot, not a continuously updated feed.
Five entries returned by the platforms were excluded from our counts as clearly not real names — phrases like "Overall Top," "First-Time Buyers," and "New Construction" that appear to be response section headers misread as agent names by our extraction process, a known limitation we're tracking separately.
We also noticed "Joe Bourland" (named by Gemini and Perplexity) and "Joe Bourlande" (named by ChatGPT) are similarly spelled and may be the same person cited under two spelling variants — an example of how name-based counting can split one person's citations across variants. We've reported them as returned rather than merge them without confirmation.
FindableAgents.ai is not affiliated with, and does not endorse or guarantee the accuracy of, any agent named by a third-party AI platform in this research.
Why AI recommendations matter for Phoenix agents
Buyers are increasingly starting their agent search by asking AI rather than typing into Google. In a market as large as Phoenix, that makes cross-platform consistency even more important — a name buried in a 109-name ChatGPT list still needs the same identity consistency, review depth, and third-party authority signals that got Monique Walker, Lauren Rosin, and Carin Nguyen named on all three platforms.
The agents named consistently across platforms in this research share the same traits we found in Scottsdale: strong presence on review platforms like Zillow and Realtor.com, consistent naming across directories, and established cross-platform profiles that make it easy for AI to verify who they are.
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Frequently asked questions
Is this list complete?
No. This reflects only the agents named in response to the specific prompts we ran across three platforms during one research pass in July 2026. Phoenix has many more licensed agents than the 127 we recorded — most simply weren't named by any platform when we asked. Absence from this list doesn't mean an agent has no AI visibility at all; it means they weren't surfaced by these particular queries at this particular time.
Why did ChatGPT name so many more agents than Gemini?
In this research pass, ChatGPT named 109 distinct agents across its Phoenix queries, versus 31 for Perplexity and just 10 for Gemini. ChatGPT tends to return longer, more inclusive lists, while Gemini is far more selective. This matches a pattern we've seen in other cities — the platforms use different underlying data sources and have very different tolerances for how many names they'll surface in one answer.
How often does AI change which Phoenix agents it names?
AI recommendations are not static. ChatGPT and Perplexity both use live web search, meaning their answers reflect current online information. An agent who builds new reviews, earns media coverage, or improves their directory presence can move up in AI recommendations over time. We plan to re-run this research periodically as AI platforms and agents' online presence evolve.
What is GEO (Generative Engine Optimization)?
GEO stands for Generative Engine Optimization — the practice of building your online presence so that AI systems can confidently identify, describe, and recommend you. It's the AI equivalent of SEO. For Phoenix real estate agents, GEO means ensuring that your name, city, specialties, and reputation signals are clear and consistent across every platform AI systems reference.
Can any Phoenix agent improve their AI visibility?
Yes. AI visibility is not determined by seniority or transaction volume — it's determined by the quality and consistency of your public online signals. Agents who start working on GEO now have a meaningful first-mover advantage in a market this large, where most agents have no AI visibility strategy at all.