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What Does AI Say About Your Real Estate Business?

By Emily Terrell — Top Coach and Speaker at Tom Ferry International. 4 years coaching at Tom Ferry, 9 years prior as a client.

What AI says about your real estate business is assembled from your off-site profiles — Google Business Profile, Zillow, Realtor.com, your brokerage page — more than from your own website. When those profiles disagree on your name, market, or specialty, AI can’t resolve you as one entity and skips you. This guide covers the audit and the fix.

Key Takeaways

  • AI systems have to resolve you as a single entity before they can recommend you, and most agents exist online as three to six unconnected people.
  • Your off-site profiles carry more weight than your website, because they’re the pages that already rank.
  • The most common failure isn’t a bad bio — it’s two accurate bios that describe different businesses.
  • Reviews are the substrate that “best agent in my area” answers get built from. A profile at zero reviews can’t be recommended.
  • Blocking AI search crawlers removes you from ChatGPT answers entirely, and most agents don’t know which crawler does what.

What is entity resolution in AI search?

Entity resolution is the process a machine uses to decide whether two records describe the same thing. When ChatGPT encounters “Emily Terrell, eXp Realty, San Antonio” on one page and “Emily Terrell, Realtor, Saint Hedwig” on another, it has to determine whether that’s one agent or two. If the evidence is thin or contradictory, the safe move is to skip the name and answer generically.

That’s the mechanism behind most agent invisibility. It isn’t that the model dislikes your content. It’s that the model can’t confirm you exist as one coherent professional.

Why this matters for real estate agents

Off-site profiles do the heavy lifting here, and the data explains why. According to Seer Interactive (February 2025), 87% of ChatGPT Search citations match Bing’s top results — meaning AI is largely surfacing pages that already rank, and for most agents those are Zillow, Realtor.com, your local board, and the brokerage roster page, not their personal site.

Cross-platform consistency compounds the problem. According to Profound’s analysis of 680 million AI citations (2024–2025), only 11% of domains are cited by both ChatGPT and Perplexity. You are not optimizing for one system. You’re trying to be recognizable to several systems pulling from overlapping but different source pools.

The timing is in your favor. According to a 2026 industry analysis, real estate triggers Google AI Overviews on only 0.14% of queries — the lowest of any major industry. Consumers aren’t yet routing agent selection through AI at scale. That gives you a window to fix your records before it matters, instead of scrambling after.

“Most agents think they have an AI problem. They have a filing problem. You can’t be recommended by a system that isn’t sure you’re one person.” — Emily Terrell, Tom Ferry Coach

The entity audit

Set aside ninety minutes. You’ll need a browser and a notes doc. The first four steps are records work — the actual fix. The fifth is a five-minute technical check almost no agent runs.

Where does your name actually live?

Search your full name plus your city in an incognito window. Write down every result that is a profile of you: brokerage roster page, Zillow, Realtor.com, your local board, Google Business Profile, Facebook page, LinkedIn, personal site, review aggregators, old team pages, expired IDX sites.

Most producing agents find between four and nine. Some you forgot you created. Some were generated for you by a portal without your involvement.

Do your profiles agree on the facts?

This is the highest-leverage step in the audit. Put four columns next to each profile: name exactly as displayed, brokerage, service area, phone number.

Now look for disagreements. “Emily Terrell” versus “Emily Terrell, REALTOR” versus “The Terrell Group.” A city on one profile and a suburb on another. A cell number on three and an office line on two. Every mismatch is a reason for a machine to treat you as separate records — and unlike almost everything else in marketing, this is a fix you complete once and never revisit.

While you’re at it, open your SEO plugin and paste those same profile URLs into the social profiles field. That populates a property in your site’s structured data, which is Schema.org’s way of stating that a list of URLs all point to the same entity. It takes five minutes and it won’t do anything on its own — it corroborates the records, it doesn’t replace them. Only list URLs that resolve to a live profile you control.

There’s a compliance layer here too. Your broker’s advertising rules govern how your name and brokerage appear in public-facing profiles, and standardizing across six platforms without checking is how agents create an advertising problem while solving a marketing one. Talk to your broker before you change display names. This is general information, not legal advice.

Does your bio say what you actually do?

Read each bio out loud. Not “is it well written” — ask whether it describes the business you run today.

The pattern I see constantly: a bio written the year the agent got licensed, describing a background they no longer lead with, still sitting on three platforms. It’s accurate. It’s also the text an AI will paraphrase when someone asks who you are. If your bio talks about your prior career and your business is now a luxury relocation, the model has no way to know which is current.

Pick one bio. Two to four sentences. Name, brokerage, market, specialty, one proof point. Paste the identical text everywhere.

Where are your reviews, and where aren’t they?

Reviews are not a separate reputation project. They’re the raw material AI uses to answer the query that actually matters to a consumer: who should I hire in this market. A profile sitting at zero reviews is a profile that cannot be recommended, no matter how correct the rest of your record is.

Count your reviews per platform. Then concentrate rather than spread. Depth on two or three platforms beats one review each on eight, and Google Business Profile is the highest-value target for local consumer intent, with your primary portal profile second.

When you ask past clients for a review, ask them to name the thing you did and the market you did it in. “Emily helped us sell in Stone Oak in eleven days” is a usable signal. “Great agent, highly recommended” is not.

Can AI crawlers actually read your site?

Visit yoursite.com/robots.txt and look for the AI user agents by name.

Here’s the part almost nobody gets right: OpenAI runs separate crawlers for separate jobs, and blocking the wrong one is expensive. Per OpenAI’s crawler documentation, sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers, while GPTBot governs whether your content is used in model training. You can allow one and disallow the other. (OpenAI crawler documentation)

Many agent sites run on IDX platforms with a restrictive default robots file the agent never chose. If yours blocks OAI-SearchBot, your site contributes nothing to ChatGPT answers about your market — regardless of how good the content is.

How I use this in my own business

I ran this audit on myself before I wrote a word of this post, and it was not a comfortable hour.

I found my name across six properties. My coaching site was current. My agent-side identity was not. One profile listed my service area as a town outside San Antonio rather than San Antonio itself, with no reviews on it at all. My agent bio on multiple platforms still led with my background before real estate — accurate history, but not the business I run now, which closes 70+ transactions a year on systems with roughly five hours a week of active management. Nothing about systems. Nothing about the actual operation.

Here’s the uncomfortable part. I’ve spent months making sure my coaching content is precise — every byline, every credential, every internal link. Meanwhile the profiles a San Antonio seller would actually encounter had been running unattended for years.

If it happened to me while I was writing about it, it has happened to you.

Common mistakes

Fixing the website and ignoring the profiles. Your site is one input. The pages that already rank are usually someone else’s platform.

Writing six different bios because six platforms have different character limits. Write the short one, then expand it. Same facts, same order, same specialty language.

Deleting old profiles instead of correcting them. A deleted page can leave stale cached copies and broken references behind. Claim and correct first.

Starting with the markup. Schema is the step people want to do first because it feels technical and finishable, and it’s the step that matters least until the records underneath it agree. Build structured data so machines understand who you are, not to win a visual feature — Google has repeatedly narrowed and retired those. It reduced FAQ rich result visibility in 2023 and dropped FAQ rich results from search entirely in May 2026. The feature changes. The facts about you shouldn’t.

Assuming your brokerage handles this. Brokerage roster pages are built for the brokerage’s entity, not yours. According to the Princeton GEO study (Aggarwal et al., KDD 2024), adding statistics, quotations, and citations to web content can boost AI citation visibility by up to 40% — but that only accrues to you if the machine knows the content is yours.

Frequently Asked Questions

How do I check what AI says about my real estate business?

Open ChatGPT, Gemini, and Perplexity in separate windows and ask three questions: who are the top agents in your market, who specializes in your niche there, and who is [your full name]. Record whether you appear, whether the details are correct, and what sources get cited instead. Repeat monthly and track the pattern.

Why does AI mention other agents in my market but not me?

Usually because those agents are resolvable as single entities and you aren’t. They have consistent naming across their profiles, a claimed and reviewed Google Business Profile, and pages that already rank in traditional search. It’s rarely a content-quality judgment. It’s a records-confidence judgment.

Does my website matter if AI mostly cites other platforms?

Yes, but as the anchor rather than the source. Your site is where you control the canonical bio, where original content lives that other sources can reference, and where you declare which profiles belong to you. It resolves the entity even when it isn’t the page being cited.

Should I block AI crawlers from my real estate website?

Understand the distinction before you decide. Blocking search-oriented crawlers removes you from AI search answers about your market. Blocking training-oriented crawlers only limits use of your content in model training. Most agents who want visibility should allow search crawlers, and the choice on training crawlers is genuinely a preference.

How long does fixing entity consistency take?

The audit takes about ninety minutes. Correcting profiles takes a few hours spread across a week, since some platforms require verification. AI systems recrawl on their own schedules, so expect a lag of weeks to a few months before answers start to reflect the changes.

Do I need reviews on every platform?

No — concentrate on them. Depth on two or three platforms beats one review each on eight. Google Business Profile is the highest-value target for local consumer intent, with your primary portal profile second. Ask past clients to mention your specialty and your market by name in the review text.

Is this worth doing if AI barely drives real estate searches yet?

That’s exactly why it’s worth doing now. The work is one-time cleanup, not ongoing production, and it improves traditional local search at the same time. Doing it while the stakes are low is cheaper than doing it under pressure later.

Bring this to your team or event

Emily Terrell speaks at brokerage events, real estate conferences, and team trainings on AI, systems, and social media — the exact playbook in this post, delivered live to your audience. As a Top Coach and Speaker at Tom Ferry International and an active agent closing 70+ transactions a year, Emily speaks from the stage about what’s working right now, not theory. Recent stages include NAHREP and eXp Con.

Book Emily to speak at your next event:
Email: eterrell@yourcoach.com
Phone: (210) 400-9191
Web: coachemilyterrell.com

For real estate agents who want to implement this: Get the weekly real estate prompt library at weeklyrealestateprompts.com or follow @coachemilyterrell on Instagram for daily systems and AI breakdowns.

Related reading: AI Training for Real Estate Agents: What It Must Cover and Real Estate MLS Automation: What Agents Can Automate. More About Emily.