By Tim and Julie Harris

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Let's have the conversation the industry keeps tiptoeing around.

Everybody loves to talk about Zillow's leads. Premier Agent, the ZIP code auction, the "Contact Agent" button that routes the buyer to whoever paid the most instead of the listing agent. Old news. We've all known that for years.

But there's a second con, and it's the one that's actually doing damage right now — because consumers don't know it exists, and most agents have never stopped to think about it either.

The Zillow agent directory is not an objective ranking of the best agents. It never was.

Here's the part that should make you sit up

When a buyer or seller goes looking for an agent, they type a neighborhood into Zillow, they see a tidy list with star ratings and sales numbers, and they think: this is the leaderboard. The person on top is the best.

They're wrong. And they have no idea they're wrong.

The directory doesn't rank agents by who actually sells the most homes. By Zillow's own published methodology, it ranks by reviews, star ratings, and the sales data agents manually feed into their own profiles. In plain English: it ranks agents by how hard they work the Zillow platform — not by how good they are at the actual job.

So the agent who turns every closing into a Zillow review request and treats their profile like a second career? Top of the list.

The quiet monster who out-produces them three to one but built their business on referrals and never bothered to game Zillow? Invisible.

That's not a ranking of talent. It's a ranking of who feeds the machine. And consumers are making the biggest financial decision of their lives based on it, thinking it's neutral.

Now here's where it gets worse

AI was supposed to fix this, right? Finally, a tool that could actually dig into the data and tell people who the real top agents are.

Nope.

Ask any AI assistant — or just Google — "who's the best listing agent in this neighborhood." The answer comes back sounding researched. Authoritative. Objective. Like a machine went and analyzed real performance.

It didn't. The AI isn't pulling MLS production records. It isn't auditing closings. It isn't verifying anything. It's scraping the websites that win search results and are easiest to read — Zillow and Homes.com — the exact same pay-to-play platforms whose rankings were rigged in the first place.

So the bias doesn't get cleaned up. It gets laundered. Garbage goes in, and a confident, polished, "objective" answer comes out — one consumers now trust even more than the website it was copied from.

The machine didn't do the homework. It just photocopied the homework someone paid to fake.

"But isn't this just a Zillow problem?"

No. And this is the part that should really land.

Realtor.com — the official NAR-affiliated site — runs basically the same model: paid leads by ZIP, plus a directory built on reviews and self-reported sales. Homes.com sorts paying members to the top. Even the "merit-based" ones have a tollbooth: HomeLight actually matches on real MLS production data, but you still hand them ~33% of your commission to be in the pool. Redfin's partner program, same idea — 30–35% referral fee. And UpNest? It rewards whoever's willing to slash their commission the most. That's not "best agent." That's "cheapest agent."

So here's the whole point in one line: there is no major platform that surfaces the best agent regardless of pay. Not one. Which means when AI goes looking for an agent to recommend, every source it can reach is monetized. There's no neutral shelf for it to pull from.

You don't fix that by picking a different portal. You fix it by owning your own ground.

So here's the move — do this, starting this week

You don't beat this by complaining about it. You beat it by making the real, verifiable, you-controlled version of your track record show up everywhere the AI looks. This is the new SEO, and almost nobody's doing it:

  1. Claim and fully load your Google Business Profile. It's the #1 source AI pulls for local pros. Right category, service areas, real photos, weekly posts, answer your own Q&A.

  2. Own a website on your own domain — not a brokerage page you'll lose. Put your real numbers in plain text: homes sold, neighborhoods, price ranges. AI reads text, not vibes.

  3. Add schema markup (RealEstateAgent / LocalBusiness / Review). It's the machine-readable layer that tells AI exactly who you are and what you've done. One-time job, long payoff.

  4. Build a page for every neighborhood you farm — recent solds, market stats, who's active. Specific and current beats broad and stale.

  5. Get your name on multiple credible outside sites — local press, podcasts, production rankings, "best of" lists. AI trusts what's confirmed across many sources, not one.

  6. Make your name, bio, and stats identical everywhere. Inconsistency makes AI drop you.

  7. Stack reviews off Zillow — Google first. Don't keep your reputation locked in one walled garden.

  8. Test it monthly. Ask ChatGPT, Perplexity, and Google's AI "who's the best agent in [your area]?" See who it names and what it cites — then go fill those gaps.

Then protect all of it with the assets nobody can take: your database, your email list, your brand, your referral engine. Owned ground. Forever.

So what's the actual lesson here?

Same one we keep coming back to: never build a castle on land you don't own.

Your Zillow profile isn't yours. Your ranking isn't yours. Your reviews on their platform aren't yours. It all lives on land Zillow controls and can change tomorrow — and now AI is amplifying whatever story that platform decides to tell.

If your reputation only exists inside someone else's walled garden, you don't have a business. You have a lease. And the landlord raises the rent whenever they want.

The agents who win the next five years are the ones building on ground they actually own: their database, their brand, their real community reputation, their word-of-mouth — the one distribution channel no algorithm can throttle and no competitor can outbid.

Everybody else is just decorating a castle on rented land, hoping the landlord — and now the algorithm — stays kind.

Don't be everybody else.

— Tim & Julie Harris

Founders of Tim & Julie Harris Real Estate Coaching | Publishers of Harris Real Estate Daily | Hosts of PowerHouseTalk | eXp Realty Sponsors at Libertas

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