Ryan Darani
October 15, 2025

What Is AI‑Powered Search? How Can Real Estate Agents Use It?

The short answer

AI‑powered search lets people ask full questions (“Find me a three‑bedroom near good coffee, 25 minutes to the hospital, under $900K”) and get a single, conversational answer instead of ten tabs and a headache. 

Under the hood, large language models (LLMs) don’t just match keywords; they infer intent, stitch together facts, and explain them in plain English. 

Because of this, prospects move faster from curiosity to claritywhich is exactly where great agents win.

Why AI-powered search matters for real estate

  • Major platforms are already shifting. Zillow rolled out natural‑language search so people can speak to the site like a person—by commute time, school proximity, and even points of interest. In other words, “Homes 30 minutes from downtown with a fenced yard” is a real query, not a dream.
  • Google added AI Overviews, which summarize web results in one synthesized answer. That’s a polite way of saying fewer clicks to individual sites and more “answers on the page.”
  • For historical context, yes, Zillow even launched a ChatGPT plugin back in 2023—the signal that mainstream portals would lean into conversational discovery. Today, the native AI experiences are the main act.

If buyers and sellers are discovering answers inside AI systems, your job is to make sure those systems can (a) recognize you as a real, reputable agent and (b) quote your expertise accurately

How AI‑powered search “thinks” about real estate queries

LLMs handle four broad intents—each mapping neatly to the homebuyer and seller funnel:

  1. How‑to (education): “How do I get a home ready for appraisal?”
  2. Who‑is (authority): “Who’s a top‑rated waterfront agent in Franklin, TN?”
  3. Where‑is (location tradeoffs): “Where near Denver has lower property taxes but decent transit?”
  4. Find‑me (action): “Find three buyer agents who close 20+ deals/year within 20 minutes of West Loop.”

Your content, profiles, and reviews either help models answer these—or someone else’s do.

A quick note on tone in your own content: People now ask AI systems questions the way they talk to a friend. Let your site copy mirror that. If your FAQ reads like a municipal codebook, both AI and humans will likely skip it.

Can agents get listings from an AI-powered search?

Short answer: yes—if you do it right. 

One of our clients, Katelyn Warren, booked two calls worth roughly $1.3M in listings in six weeks from AI‑driven discovery. 

We aligned her identity data (same name/phone/brokerage everywhere), built conversational, locally specific content, and earned third-party mentions that models could cite. Volume was modest; intent was high. 

Timeline-wise, we saw leading indicators inside three weeks (brand-query lift, longer time on the Q&A pages, more GBP actions) and the first serious caller in week 2.

Two caveats to keep us honest. 

One: This is an anecdote, not a universal law. Markets vary, inventory shifts, and assistants evolve. 

Two: trust compiles slowly and then suddenly—so keep the cadence. Quarterly audits for profile accuracy, quarterly refreshes on the Q&A pages, and one or two new citations every month will do more for you than a single heroic weekend of “SEOing.”

If you want the playbook in one breath: make it unambiguous who you are, answer the questions people actually paste into assistants, let neutral sites vouch for you, and instrument just enough measurement to know it’s working.

Do that, and you’ll get calls.

The AI‑Search Readiness Framework

1) Identity Hygiene

Agents change brokerages. Change address. Change phone numbers, but who takes care of all that? AI assistants reconcile entities the way a meticulous TC reconciles signatures: nothing moves until everything matches.

  • Lock NAPW: Name, Address, Phone, Website—exactly the same on your site, Google Business Profile (GBP), Zillow, Realtor.com, Homes.com, LinkedIn, Facebook Page, RateMyAgent, FastExpert, local chamber, and your MLS public profile. Avoid premium/call‑farm numbers; use a local number under your control.
  • Service‑area clarity: If you’re a service‑area business (work from home office), GBP has specific rules. Keep the phone consistent, list service areas, and don’t stuff city keywords into your business name.
  • Review consistency: Pick one canonical way to write your name and brokerage. Ask happy clients to use that phrasing in reviews (“Jane Alvarez, Compass – Denver”). That helps models map mentions to the right entity.
  • Quarterly audit: Calendar a 30‑minute review every 90 days. Search your name + old brokerage, name + old phone, and fix stragglers.

This feels about as thrilling as reconciling lockboxes—but it’s the difference between being cited in answers and being invisible.

2) Conversational Content (answers, not articles)

Think Q&A first. Write the question as your H2, then the clearest, least‑fluffy answer you can muster.

Starter set (steal these):

  • “Who’s the best condo buyer’s agent in Miami under $800K?”
  • “Where in Nashville can I lower property taxes without adding 40 minutes to my commute?”
  • “How do I buy a lakefront home in Franklin, TN without flood‑insurance sticker shock?”
  • “What does ‘special assessment’ actually mean—and how do I avoid one?”

Content format rules that LLMs love:

  • Lead with a one‑sentence answer.
  • Provide 3–5 scannable bullets with specifics.
  • Link to supporting first‑party pages (your market reports, videos) plus one neutral third‑party source.
  • Include a short “What can go wrong” box.
  • Time‑stamp the post and update quarterly (models weigh freshness).

Fair‑housing guardrails for AI content:

Avoid protected‑class proxies (“family‑friendly,” “Christian neighborhood,” “safe for seniors,” etc.). 

Focus on objective factors like parks, school ratings from public sources, noise scores, and commute times—and point readers to official resources. If you publish photos with people, HUD has guidance on inclusive representation.

3) Off‑Site Authority

LLMs cross‑check you across the web the way a skeptical buyer cross‑checks foundation repair receipts.

  • Reviews where models actually look: Google/GBP, Zillow, Realtor.com, Facebook Page, and domain‑specific platforms like RateMyAgent. Use a simple post‑closing ask: “If this was five‑star service, would you copy/paste this into Google and Zillow?” (No gating. No incentives. Play it straight.)
  • Local press & podcasts: Two small articles beat one huge listicle. Pitch local journalists on “What moved the [your city] market this quarter in 600 words.” Include one chart they can embed (with a link). That earns co‑citations and entity edges.
  • Social bios as data: Clean bios on LinkedIn/Instagram/TikTok with the same NAPW, service areas, and a single canonical website URL. Think of bios as mini schema for humans.

What content agents need for AI-powered search

How-to (education)

Think of these as the conversations you have in your car between showings, captured on the page. 

Choose the dozen questions you answer most—prep for appraisal, reading an HOA budget, earnest money basics—and write each like an email to a smart friend who hates jargon. 

Start with the one-sentence answer, expand into specifics with examples from your market, and end with a short “what can go wrong” so readers trust you’re not sugarcoating the process. 

If you can, embed a 30-second vertical video where you explain the gist in your own voice. 

Who-is (authority)

Your “About” hub should read like a dossier, not a brochure. 

Lead with what you do—areas, price bands, property types—follow with proof that you do it well—recent closings, a couple of review excerpts with names, designations that matter in your niche—and close with one paragraph on why you work the way you do. 

Authority in 2025 looks like clean facts delivered in a structured way that LLMs can understand.

Where-is (trade-offs)

This is where you earn your keep. Pick pairs of neighborhoods buyers actually compare and write side-by-sides that talk like real people: commute realities on a Tuesday at 8:15, the tax line that surprises everyone, which condos run hot on special assessments, where the morning sun hits the kitchen. 

Cite one neutral source when you’re quoting hard numbers, then give your lived-in take on what trips buyers up the first week they move in. 

If you do it right, readers finish the page thinking, “That’s exactly what I would have asked on a tour.”

Find-me (action)

When someone is ready to move, remove friction. Build a “Work with us” page that mirrors how prospects phrase requests in assistants—“Find me a buyer’s agent who…”—and answer with a clear promise: what you do, how you’ll run the first call, and what happens next. 

Put a short, human video at the top, keep the intake form to only what you need for a useful conversation, and add scheduling right there on the page. 

The metric here isn’t traffic; it’s momentum—from page view to calendar invite with as few clicks as possible.

Risks of AI-powered search

Treat your online identity like a living profile. 

Misinformation is the first enemy and the easiest to manage: schedule a quarterly “AI audit” where you search your name, ask popular assistants for your phone and brokerage, and fix whatever’s off. 

Keep your Google Business Profile compliant—local number you control, no call-farm redirects, no creative renaming—and make sure portals and social bios carry the same details down to the comma. 

When models see five versions of you, they default to none of you.

The second enemy is volatility. 

AI features change, ranking behavior shifts, and what worked last quarter may wobble this one. Don’t take it personally; diversify your citations, keep your cornerstone pages fresh, and maintain a short change log so you can tell correlation from coincidence.

If your visibility hiccups the week after you updated half your titles, that’s a clue worth following.

The third enemy is avoidable legal trouble. 

Build fair-housing discipline into your content process, not as an afterthought. Avoid language that proxies for protected classes; lead with objective, sourced facts instead—noise levels, transit times, tax rates, zoning notes, and publicly available school data. When a line might be interpreted two ways, choose the neutral version and move on. 

No listing is worth a complaint, and no paragraph is worth a headache.

FAQs

Is ChatGPT or Google better for AI search?

They’re different. Google’s AI Overviews shine for quick synthesis across multiple sources right inside results; assistant tools like ChatGPT are stronger for multi‑turn, personalized Q&A that can gather context and draft outreach. Expect overlap—and constant change.

Should Realtors care about AI‑powered search?

If you want to be named inside answers (not just blue links), yes. The agents who maintain clean identity data, produce conversational, up‑to‑date content, and earn third‑party mentions will be the ones LLMs cite.

Will AI replace Google Search?

No, but it will reshape discovery. Research and vendor selection increasingly happen inside AI experiences; transactions and scheduling still happen on your site, in your CRM, or on platform. Plan for fewer—but more serious—clicks.

What about Zillow and portals?

Lean into them. Keep portal profiles current and consistent; they’re high‑trust nodes that LLMs love to cite. Zillow’s natural‑language search is a clear signal that conversational discovery is here to stay.