Google Ads has always been a game of intent.

For real estate investors, that game is unusually unforgiving.

Someone searching “sell my house fast” may be exactly the homeowner you want.

Someone searching “houses for sale near me” may be interested in the exact same asset—residential real estate—but sitting on the opposite side of the transaction.

One wants to sell a house.

The other wants to buy one.

That distinction sounds obvious to a real estate investor. It may be considerably harder for an automated advertising system tasked with finding more conversions.

And that’s what makes Google’s AI Max for Search campaigns so interesting.

Google says AI Max can expand beyond an advertiser’s existing keywords using broad match and keywordless technology, learning from keywords, ads and landing pages to identify additional relevant searches.

For many advertisers, that’s compelling.

For motivated-seller lead generation, it raises a more important question:

Does Google understand the difference between a search that’s relevant to real estate and a search that signals someone actually wants to sell a house?

We recently analyzed the search terms from a real Google Ads campaign built to generate motivated homeowner leads.

What we found deserves a closer look.

The Short Answer: AI Max Can Expand Reach Without Preserving Seller Intent

In the campaign analyzed, AI Max generated 519 disclosed search terms, 775 impressions, 26 clicks and $750.69 in spend during the analyzed period.

It also generated two disclosed conversions.

At first glance, that’s where most PPC analysis would stop.

Two conversions. Calculate CPA. Decide whether the number is acceptable.

But we went one level deeper and looked at the actual searches behind those conversions.

Neither conversion came from an obvious motivated-seller search.

One came from:

“real estate in springfield massachusetts”

The other came from:

“maria acuna real estate”

Neither search says:

• sell my house
• cash home buyer
• sell house as-is
• need to sell my house
• inherited house buyer
• sell house fast
• we buy houses
• cash offer for house

In other words, both conversions aligned much more closely with general/retail real estate search behavior than explicit motivated-seller intent.

That’s a crucial distinction.

A conversion in Google Ads tells you that a conversion action occurred.

It does not automatically tell you that Google generated the type of customer your business actually wants.

What Google AI Max Is Designed to Do

Before criticizing AI Max, it’s important to understand what Google is actually trying to accomplish.

According to Google’s documentation, AI Max’s search-term matching expands existing keyword targeting using broad match, asset-based targeting, landing-page-based targeting and keywordless technology. Google says the system uses signals from existing keywords, creative and URLs to find additional relevant searches.¹

That means AI Max isn’t simply looking for another variation of:

sell my house fast

It has considerably more freedom to determine what constitutes a relevant search.

Google reports that advertisers activating AI Max typically see 14% more conversions or conversion value at a similar CPA/ROAS, based on Google’s 2025 internal data for non-retail advertisers.²

That’s a meaningful claim.

But there’s an important distinction for real estate investors:

More conversions and more qualified motivated-seller leads are not necessarily the same thing.

Google’s system can optimize toward the conversion data you give it.

It doesn’t inherently know whether a form submission came from a distressed homeowner, a retail buyer, an agent, a wholesaler, a vendor, or someone looking for a specific real estate professional—unless your measurement and conversion architecture provide enough downstream information to make that distinction.

That’s where things get interesting.

We Analyzed 519 AI Max Search Terms From a Motivated-Seller Campaign

The campaign’s objective was straightforward:

Generate leads from homeowners interested in selling properties to a real estate investor.

The search-term report covered August 26 through September 24, 2026.

Across the disclosed AI Max terms, the campaign produced:

Metric	AI Max performance
Disclosed search terms	519
Impressions	775
Clicks	26
Spend	$750.69
Disclosed conversions	2
Cost per disclosed conversion	$375.35

The numbers themselves aren’t the most interesting part.

The search intent is.

The AI Max search-term report contained searches such as:

• real estate massachusetts
• houses massachusetts
• houses in springfield ma
• westfield ma real estate for sale
• houses in chicopee for sale
• masshousing
• caldwell real estate
• d h jones real estate
• taylor real estate
• cuoco & co real estate
• williamsburg ma real estate

These queries aren’t necessarily irrelevant to the real estate industry.

That’s precisely the problem.

They can be semantically relevant to real estate while being commercially irrelevant to a motivated-seller acquisition campaign.

Relevance Is Not the Same as Intent

This is the distinction every real estate investor running Google Ads needs to understand.

Consider these two searches:

Search A:
“houses in springfield ma”

Search B:
“sell my house fast springfield ma”

Google sees substantial semantic overlap.

Springfield.

Houses.

Real estate.

Location.

Property.

A real estate investor sees something entirely different.

Search A appears to indicate someone looking for houses—potentially a retail buyer.

Search B explicitly indicates someone looking to sell a house.

Those searchers may participate in the same real estate transaction, but they’re standing on opposite sides of it.

That makes motivated-seller PPC different from many other Google Ads verticals.

The advertiser doesn’t simply need someone interested in real estate.

The advertiser needs the right transactional role.

The Two AI Max Conversions Are the Most Important Part of the Story

Here’s where the data gets particularly interesting.

AI Max produced two disclosed conversions.

You might expect them to come from searches such as:

cash buyers for houses

or:

sell house as is

or:

need to sell my house fast

They didn’t.

The first converting search was:

“real estate in springfield massachusetts”

Spend: $71.75

Conversions: 1

The second was:

“maria acuna real estate”

Spend: $47.16

Conversions: 1

Neither query expresses explicit motivated-seller intent.

The first is a broad retail/general real-estate query.

The second appears navigational—a search involving a person’s name and “real estate.”

Based on the search terms alone, both conversions align more closely with retail/general real estate searches than motivated-house-seller searches.

That does not prove the people who converted were worthless.

Search terms alone cannot tell us whether either person ultimately became a qualified seller, appointment, contract or closed transaction.

And that’s exactly why raw conversion counts can be dangerous.

If the campaign’s primary conversion is a lead form submission, Google sees:

Conversion = success.

The investor needs to know:

Was it actually a motivated homeowner?

Those are two different measurement systems.

A Conversion Is Not a Qualified Seller Lead

I’ve managed Google Ads campaigns for real estate investors for more than a decade, and this is one of the most expensive misconceptions I see.

Advertisers become obsessed with CPL.

Agency reports become obsessed with CPL.

Google’s optimization becomes centered around conversions.

But a $100 lead is not necessarily better than a $300 lead.

Suppose Campaign A produces:

20 leads × $100 CPL = $2,000

Campaign B produces:

8 leads × $250 CPL = $2,000

Campaign A looks substantially better.

Until you discover Campaign A produced one legitimate motivated homeowner and Campaign B produced five.

Your actual economics are then:

Campaign A: $2,000 per qualified seller opportunity

Campaign B: $400 per qualified seller opportunity

The supposedly expensive campaign is suddenly five times more efficient at generating the outcome that matters.

This is why sophisticated real estate PPC measurement needs to move beyond:

Click → Form submission

and toward:

Search term → Lead → Qualified seller → Appointment → Offer → Contract → Closed deal → Revenue

Until you connect advertising data to downstream lead quality, you’re asking Google to optimize using an incomplete definition of success.

AI Max May Create “Intent Sprawl”

There’s another pattern in the data worth discussing.

The campaign generated 519 disclosed AI Max search terms from 775 impressions.

That’s roughly 1.5 impressions per disclosed AI Max search term.

Think about what that means.

Google wasn’t simply finding five or ten obvious keyword variations the advertiser forgot to add.

It was exploring an enormous long tail of searches.

Some were relevant.

Some were ambiguous.

Some appeared buyer-oriented.

Some referenced real estate agents or companies.

Some were generic real estate searches.

Others involved specific people or organizations.

I call this intent sprawl.

What is intent sprawl?

Intent sprawl occurs when automated targeting expands into searches that are semantically related to the advertiser’s market but increasingly distant from the specific commercial intent the advertiser needs.

For a motivated-seller campaign, the distinction is critical.

Your target isn’t:

People interested in residential real estate.

Your target isn’t even:

People interested in houses in Massachusetts.

Your target is closer to:

Homeowners with a property to sell who are considering a direct-sale solution and whose situation potentially fits an investor acquisition model.

That’s a dramatically narrower audience.

“But Those Impressions Didn’t Cost Anything”

This is where the conversation becomes more nuanced.

Many irrelevant-looking searches in the report generated impressions without clicks.

So it’s tempting to say:

Who cares? Google didn’t charge me.

From a direct media-cost perspective, that’s true.

No click means no CPC charge in a standard Search campaign.

But that doesn’t mean advertisers should ignore the pattern.

Those impressions tell us something about how Google’s system is interpreting campaign relevance.

If the system repeatedly decides that searches for retail listings, real estate companies, named agents and broad housing queries are relevant enough to enter auctions, that’s valuable diagnostic information.

I would not claim that every irrelevant impression directly hurts performance. The data does not prove that.

But I absolutely want to know how far Google’s interpretation of my target market has moved from the intent I’m trying to buy.

Because eventually, some of those searches do become clicks.

And clicks cost money.

The attached campaign demonstrates exactly that.

Searches such as masshousing, westfield ma real estate for sale, caldwell real estate, d h jones real estate, and houses in chicopee for sale generated paid clicks.

This is where intent sprawl stops being theoretical.

It becomes spend.

Why Real Estate Investor PPC Is Especially Vulnerable

Google’s AI has a difficult job in this vertical because the same entities appear across radically different search journeys.

Consider the entity:

house

A searcher might want to:

• buy one
• sell one
• rent one
• renovate one
• finance one
• inherit one
• value one
• list one
• find an agent for one
• sell one directly to an investor

All of those searches are semantically related.

Only a subset belongs in a motivated-seller campaign.

The same problem applies to the entity real estate.

“Real estate Springfield MA” may relate to:

• property listings
• agents
• brokers
• market research
• recently sold properties
• commercial real estate
• real estate investing
• home buying
• home selling

This is why semantic relevance alone isn’t enough.

For real estate investors, directional intent matters.

Is the searcher trying to acquire property?

Or dispose of property?

That single distinction can determine whether a $50 click is incredibly valuable or completely useless.

Don’t Turn AI Max Off Just Because You See Weird Search Terms

This is where I differ from a lot of PPC commentary.

Seeing bad-looking search terms isn’t enough evidence to declare:

“AI Max doesn’t work.”

That conclusion would be intellectually lazy.

Google says AI Max is designed to capture incremental searches and conversions advertisers might otherwise miss. Its own aggregate data reports conversion gains at similar CPA/ROAS for advertisers adopting the technology.²

And the campaign we’re examining did generate conversions from searches that a human PPC manager probably wouldn’t have deliberately targeted.

That’s interesting.

The correct question is not:

Does AI Max generate conversions?

It clearly can.

The better question is:

Does AI Max generate incremental qualified motivated-seller opportunities at an acceptable acquisition cost?

That’s what I would test.

How I Would Test AI Max for a Real Estate Investor

Fortunately, Google provides a much better way to answer this than arguing about AI in a conference room.

Google Ads supports AI Max experiments, which allow advertisers to test AI Max within an existing campaign rather than simply flipping it on and hoping for the best. Google says these experiments split traffic and budget within the existing campaign, helping reduce setup differences between the control and treatment.³

For a motivated-seller account, I’d structure the evaluation around business outcomes.

Notice what’s missing from the decision criteria:

“Did AI Max produce more form submissions?”

I care about that metric.

I just don’t let it make the decision by itself.

Feed Google Better Conversion Data

AI-driven advertising becomes more dependent on measurement quality, not less.

If you tell an automated bidding system that every submitted form is equally valuable, don’t be surprised when it finds increasingly creative ways to generate form submissions.

The better approach is to differentiate between stages.

For example:

Lead
Someone submits a form.

Qualified seller
Actual homeowner with a relevant property and legitimate selling interest.

Appointment
Meaningful conversation or property appointment occurs.

Opportunity
Property and motivation meet acquisition criteria.

Contract
Purchase agreement signed.

Closed deal
Transaction closes.

The closer your optimization signal gets to actual business value, the less dependent you become on vanity conversion metrics.

For more on building the measurement layer correctly, read our real estate PPC conversion tracking guide.

Negative Keywords Matter in an AI Max World

Automation doesn’t eliminate the need for negative keywords.

In fact, expansion can make search-term governance more important.

Google confirms that AI Max respects negative keywords.⁴

That means your search-term review process should identify recurring patterns that indicate the wrong side of the real estate market.

Depending on actual account data, potential categories to investigate can include:

Retail buyer intent:
houses for sale, homes for sale, listings

Agent/broker intent:
specific agents, brokerages, realtor searches

Rental intent:
apartments, houses for rent, rentals

Employment intent:
real estate jobs, careers, salary

Education intent:
real estate license, classes, courses

But don’t blindly dump thousands of negatives into the account.

Search meaning matters.

Someone searching:

“Should I use a realtor or sell my house for cash?”

contains the word “realtor” but may be an excellent motivated-seller prospect.

Negative keyword strategy should eliminate unwanted intent, not merely unwanted words.

See our negative keyword strategy for real estate investors for the framework we use.

Your Landing Page Can Also Influence AI Max

This is another reason real estate investors need to think beyond keywords.

Google states that AI Max can use landing-page-based technology as part of search-term matching.¹

That means your website isn’t merely where the click lands.

It’s potentially part of the targeting signal.

If your landing page is filled with broad language about:

• real estate
• properties
• homes
• Massachusetts real estate
• investing
• buying and selling houses

but contains weak contextual signals around the specific service—buying houses directly from homeowners who want to sell—you may be giving Google’s system a fuzzier picture of the audience you actually want.

Your landing page should reinforce entities and relationships such as:

Homeowner → needs to sell → property → direct home buyer → cash offer → as-is sale → no repairs → closing

Not simply:

Real estate → houses → Massachusetts

That’s good conversion copy.

It’s also better semantic clarity.

For a deeper breakdown, see our real estate PPC landing page optimization guide.

The Bigger Lesson: Optimize for the Seller, Not the Conversion

AI Max isn’t inherently good or bad for real estate investors.

It’s an optimization system.

The important question is what you’re teaching it to optimize for.

Our real campaign data showed 519 disclosed AI Max search terms, 775 impressions, 26 clicks, $750.69 in spend and two disclosed conversions.

But the two converting queries were:

“real estate in springfield massachusetts”

and

“maria acuna real estate”

Those are not obvious motivated-seller searches.

They align much more naturally with retail/general real estate intent based on the queries themselves.

That doesn’t automatically mean the conversions had no value.

It means the conversion count alone is insufficient evidence that AI Max accomplished the business objective.

And that distinction matters enormously when you’re paying real money for every click.

The Question Real Estate Investors Should Be Asking

Don’t ask:

“Is AI Max getting conversions?”

Ask:

“Is AI Max generating qualified motivated sellers that turn into profitable acquisition opportunities?”

Then measure accordingly.

Because Google Ads can generate clicks.

It can generate forms.

It can generate conversions.

But as a real estate investor, none of those things are ultimately what you’re buying.

You’re buying opportunities to acquire properties profitably.

Everything between the search query and the closing table needs to be measured against that objective.

If you’re running Google Ads for motivated sellers and aren’t sure whether AI Max is finding incremental seller opportunities or simply expanding into broader real estate traffic, request a PPC campaign diagnosis.

We’ll look beyond campaign-level conversion counts and examine the search terms, intent, landing pages, conversion architecture and lead quality behind the numbers.

Frequently Asked Questions

Is AI Max good for real estate investors?

AI Max can expand a Search campaign into queries that keyword-only targeting may not capture. Whether that is beneficial for a real estate investor depends on the quality of the incremental traffic and conversions. Evaluate qualified seller leads, appointments, contracts and acquisition costs rather than judging AI Max solely by raw conversions.

Why is AI Max showing my ads for home-buyer searches?

Google says AI Max search-term matching uses broad match, assets, landing pages and keywordless technology to identify additional relevant searches. In real estate, buyer and seller searches can share many of the same entities—houses, locations, properties and real estate—despite representing different transactional intent. That makes search-term monitoring particularly important.

Does AI Max respect negative keywords?

Yes. Google states that negative keywords continue to be respected when AI Max is enabled. Negative keyword management can therefore be used to restrict recurring irrelevant search patterns while preserving potentially valuable seller searches.

Should I turn off AI Max for my motivated-seller campaign?

Don’t make the decision based solely on unusual search terms. Compare AI Max against a control and evaluate downstream metrics such as qualified seller rate, cost per qualified seller, appointments, contracts and cost per contract. Google provides AI Max experiments specifically for controlled testing.

What’s the difference between a conversion and a qualified seller lead?

A conversion is the advertising action you’ve configured Google Ads to measure—for example, a form submission. A qualified seller lead is a business outcome: a legitimate homeowner with a relevant property and meaningful selling intent. A conversion can therefore occur without producing a qualified motivated-seller opportunity.

What should real estate investors track instead of CPL?

CPL is useful, but it should be paired with qualified seller rate, cost per qualified seller, appointment rate, cost per appointment, contract rate, cost per contract and ultimately closed-deal economics. Those metrics reveal whether PPC is producing actual acquisition opportunities rather than simply inexpensive forms.

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Sources

1. Google Ads Help — How AI Max for Search campaigns works. Google explains that AI Max search-term matching uses broad match, asset-based and landing-page-based technology, including keywordless matching, to expand reach.
2. Google — Introducing AI Max for Search campaigns. Google reports that advertisers activating AI Max typically saw 14% more conversions or conversion value at similar CPA/ROAS in its cited 2025 non-retail advertiser data.
3. Google Ads Help — About AI Max experiments. Google explains how AI Max experiments allow advertisers to test AI Max within an existing Search campaign.
4. Google Ads Help — AI Max FAQs. Google confirms that negative keywords are respected when AI Max is enabled.