Real estate agents and brokerages running Google Ads with AI Max in 2026 face a familiar problem with a new shape: the platform doesn't know whether someone searching "homes for sale [city]" wants to buy, sell, or rent. And it doesn't know whether the buyer is six months out or ready to make an offer today.
This guide covers the real estate-specific setup that addresses these intent ambiguities.
Split Buyers and Sellers
Buyer intent and seller intent are completely different from an advertising perspective. "Homes for sale [city]" comes from buyers. "What is my home worth" comes from sellers. "Real estate agent near me" could be either, but the landing page and CTA should differ.
Run separate AI Max for Search campaigns for buyers and sellers:
Buyer campaign search themes: "homes for sale [area]," "houses for sale [neighborhood]," "[bedrooms] bedroom home [city]," "buy house [area]"
Seller campaign search themes: "home value estimate," "sell my house [city]," "real estate agent to sell home," "what is my home worth [area]"
Each campaign should have different landing pages. The buyer campaign lands on your property search page. The seller campaign lands on your home valuation tool or seller consultation page.
AI Max and MLS Data Freshness
AI Max's URL expansion learns from your website's pages. For real estate, the most valuable pages — individual property listings — change constantly. A listing that sold last week is redirecting or showing "no longer available." URL expansion targeting stale listing pages produces poor user experiences and hurts conversion rates.
Scope URL expansion to evergreen pages: city/neighborhood search pages, your main property search, buyer guides, and your home valuation tool. Exclude individual listing pages from URL expansion. The AI can still surface these through search themes, but the landing page should be a stable page rather than a potentially-expired listing.
The Data Deletion Impact on Market-Specific Targeting
Real estate markets vary dramatically by city and neighborhood. The historical keyword performance data — which neighborhoods drove which search volumes, which price points attracted the most clicks — was in Google Ads reporting data deleted in June 2026.
Recover from GA4: filter Traffic Acquisition by google/cpc source for the deleted date ranges. This gives you session volume and lead generation event counts (contact form submissions, home valuation requests) by landing page. Use UTM parameter data or GA4's page path dimension to associate traffic with specific neighborhood search pages.
The ToS Changes and Real Estate Creative
The July 2026 Google Ads ToS update allows AI Max to generate ad creative combinations. For real estate, watch for:
Fair Housing compliance: The Fair Housing Act applies to real estate advertising. AI-generated copy must not imply demographic targeting, neighborhood steering, or exclusionary language. Review AI-generated combinations carefully — even neutral assets can combine in ways that imply demographic preferences.
Commission and fee claims: Some states regulate real estate advertising language around compensation disclosure. If your assets mention specific commission rates, review every combination.
Market value claims: "Best prices," "lowest market prices," "above-market returns" — these are legally sensitive in real estate advertising and should not appear in your asset set.
Negative Keywords for Real Estate
The high-volume wasted spend categories in real estate advertising:
- Rental-intent queries: "apartments for rent," "house to rent," "rental properties" — unless you offer rental services, these are zero value
- Out-of-market searches: if you only operate in specific markets, negative out city names where you don't work
- Investment-only intent: "rental property investment," "real estate investment trust," "REIT" — different buyer intent than primary residence
- Employment: "real estate agent job," "realtor training," "get real estate license"
- DIY: "for sale by owner," "FSBO forms," "sell without agent"
The AI Max negative keyword guide covers the mechanics. For real estate, geographic negatives are especially important given how localized the industry is.
DSA for Real Estate: The Listing Page Problem
Many real estate teams ran DSA targeting their full listing inventory. DSA auto-generated headlines from individual property pages — pulling bedroom counts, neighborhood names, and prices to create listing-specific ads.
DSA retires February 2027. The replacement is complex because AI Max URL expansion doesn't handle constantly-changing inventory pages as well as DSA did.
Recommended structure: use AI Max with search themes for category-level intent ("homes for sale [area]") rather than listing-level targeting. Your search should funnel to a property search page with current inventory, not to individual listing pages that may have sold.
AI Max for Shopping: Not Applicable to Real Estate
AI Max for Shopping is the product feed-based campaign type. Real estate listings can technically be listed in Google's Real Estate vertical through a data feed, but this is a separate channel from Search. Most individual agents and small brokerages do not use this channel; it's primarily for large portal sites.
For individual agents and teams, AI Max for Search is the primary campaign type to focus on.
Conversion Tracking for Real Estate
The conversions that matter:
- Property inquiry forms (contact agent about specific listing)
- General buyer consultation requests
- Home valuation requests (seller intent)
- Phone calls from call extensions (5+ minutes for real estate consultations)
Do not track "property view" page views — too early in the funnel. Track the first contact action.
If your CRM tracks clients from first contact to closing, import offline conversions monthly. A buyer who searched Google, submitted a contact form, and closed 90 days later should train AI Max to find more of that audience.
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