What AI actually does when someone asks for an agent
Ask an assistant "who's a good realtor in [city]?" and it doesn't search a secret database of agents. Modern AI search fans the question out into smaller queries — best listing agent, top-reviewed, sells fastest, works [neighborhood] — retrieves sources for each, and synthesizes a shortlist, usually citing where each name came from.
So "how do I rank in ChatGPT?" is really "what would an AI find and trust about me — and does it exist?" For most agents the honest answer today is: almost nothing. That gap is the opportunity, and it's closing as more agents wake up to it.
The sources AI pulls from (your citable-source checklist)
AI assembles its answer from a predictable set of sources. Make sure you exist, accurately, on each — this is the single most useful checklist an agent can work through:
- Google Business Profile — the anchor for local and map results; optimize it and keep it active.
- Zillow and Realtor.com profiles — high-authority sources AI leans on heavily. Complete them fully and earn reviews there, not just on Google.
- Agent directories — HomeLight, FastExpert, EffectiveAgents and similar are exactly the "top agents in [city]" lists AI cross-references.
- Your own website — the one source you control, with neighborhood pages and schema so it's machine-readable.
- Reviews, at volume and specificity — across Google, Zillow, and Facebook. A review that says "sold our home in [neighborhood] over asking" teaches AI exactly what to recommend you for; get more of them.
- Local press and community sites — independent mentions AI treats as evidence, not advertising.
The pattern: the more of these that exist and agree, the more confidently AI names you. One profile is a claim; a consistent web of them is a fact.
Connect your profiles with a sameAs graph (and, for teams, link every agent to Zillow)
Existing on those sources isn't enough — AI has to know they're all you. That's what a sameAs graph does: structured data on your website that explicitly links your identity to every profile you own, turning a scattered set of pages into one connected entity a machine can resolve with confidence.
Drop this into your site's RealEstateAgent schema (full walkthrough here), listing every profile — Zillow first, for its authority:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "RealEstateAgent",
"name": "Jane Rivera",
"url": "https://janerivera.com/",
"sameAs": [
"https://www.zillow.com/profile/JaneRivera",
"https://www.realtor.com/realestateagents/jane-rivera",
"https://www.homelight.com/agents/jane-rivera",
"https://g.page/jane-rivera-realty"
]
}
</script>If you run a team or brokerage, do this for every agent. Each agent's bio page should link to that agent's Zillow profile — and their other profiles — with its own sameAs graph, and where you can, make sure the Zillow profile points back to the team site. That two-way link makes the entire roster legible to AI, so an assistant can recommend the right teammate for the right neighborhood instead of missing the team altogether. Building every agent profile this way is a core part of how we build team websites.
What makes those sources actually count
Being listed everywhere only helps if the listings are consistent and machine-readable. Two signals decide whether your sources earn a citation:
- Entity consistency — your name, brokerage, markets, and specialties saying the same thing on every source. Contradictions read as noise; agreement reads as fact.
- Answerable content — direct, question-first answers about your market give assistants something liftable, with your name attached. National-trend filler gives them nothing.
What doesn't work
Keyword-stuffing your bio, spamming "best realtor" on your own site, or publishing AI-generated filler about national market trends. Answer engines synthesize across sources — self-praise with no independent corroboration doesn't survive the synthesis.
Be equally skeptical of anyone guaranteeing placement in AI answers. These systems change constantly and nobody controls them. What's durable is the underlying evidence: real expertise, made machine-readable and independently confirmed.
How to start this week
Run the audit yourself: ask ChatGPT, Gemini, and Perplexity the questions your clients would ask — "best listing agent in [your area]", "who should I use to buy in [neighborhood]". Note who gets named and which sources get cited.
Then work the checklist above: claim and complete your Google Business Profile, Zillow, Realtor.com, and directory profiles; connect them with a sameAs graph; fix your entity consistency; deepen your reviews; and publish one genuinely excellent local answer per month. The agents doing this now are building a moat while the shortlist is still short.
