Google Ads Is Auto-Upgrading Dynamic Search Ads to AI Max: What Marketers Must Do Before September 2026

Google is about to force a structural change in how many advertisers run Search. In a recent announcement, Google confirmed that starting in September 2026, campaigns using Dynamic Search Ads (DSA), automatically created assets (ACA), and the campaign-level broad match setting will be automatically upgraded to AI Max for Search campaigns. Google also claims advertisers using AI Max’s full feature suite see an average of 7% more conversions or conversion value at a similar CPA/ROAS compared to using search term matching alone.

If you lead growth for a business, agency, or in-house team, this isn’t just another “new product” announcement. It’s a signal that keyword-era Search account architecture is being retired in favor of intent-era systems where Google’s models decide which queries matter, how ads are assembled, and which landing pages are eligible.

What’s changing (and why it matters)

Dynamic Search Ads were the bridge between keyword-based Search and today’s machine-led targeting: Google scanned your site, matched queries, and generated ads dynamically. Now Google is explicitly positioning AI Max as the next generation of that approach, saying it “comes with the same benefits as DSA while offering a smarter, AI-powered solution to prepare your campaigns for the new era of Search.”

Practically, the September auto-upgrade means your team may lose the option to keep “legacy” structures running indefinitely. Google says you won’t be able to create new DSA campaigns via the Google Ads UI, Editor, or API once the transition starts, and upgrades are expected to conclude by the end of September 2026.

• DSA campaigns: will transition from dynamic ad groups to standard ad groups, with AI Max features enabled (search term matching, text customization, final URL expansion) while preserving legacy URL controls.
• ACA campaigns: will upgrade with search term matching and text customization enabled by default.
• Broad match setting users: will upgrade with search term matching enabled by default.

Net: more accounts will run on an AI-first query matching system, and the quality of your creative inputs, landing pages, and site structure becomes even more central to performance.

AI Max shifts your “optimization surface” from keywords to inputs

In classic Search, you optimized by sculpting keyword lists, match types, and negatives. With AI Max, the optimization center-of-gravity moves to:

• Site and feed clarity: AI Max uses your website content as an input. Thin, duplicated, or poorly structured pages become a targeting and quality problem—not just an SEO problem.
• Message modularity: Text customization and automatically generated combinations reward teams that build “mix-and-match” messaging blocks (proof points, offers, qualifiers) that still read well.
• Landing page governance: Final URL expansion can be a growth lever or a compliance nightmare. If you don’t tightly manage eligible pages, you’ll send paid traffic to weak or off-brand destinations.

Google highlights “more advanced controls” such as brand controls, location controls, and text guidelines. That’s the hint: the future is less manual selection, but more disciplined constraints.

The 7% lift claim: how to interpret it without getting fooled

Google says: “AI Max for Search campaigns see an average of 7% more conversions or conversion value at a similar CPA/ROAS when using the full feature suite — search term matching, text customization and final URL expansion — compared to using search term matching alone.”

Two important implications for business leaders:

• The uplift is conditional. The claim is about using the full suite vs. a partial configuration. If you opt out of URL expansion or keep tight constraints, your results may differ.
• “Similar CPA/ROAS” is not “same business outcome.” Even if platform metrics hold, lead quality can change when AI expands query reach. You need CRM-based measurement (qualified leads, close rate, CAC) to validate.

The takeaway: treat the upgrade like a migration project, not a setting change. Your job is to protect efficiency while letting the model find incremental demand—without paying for junk traffic.

Action plan: what to do before the September auto-upgrade

Here’s a practical checklist we’re recommending to teams now:

• Audit your landing pages like a product catalog. If final URL expansion can route traffic, decide which URLs are “conversion-grade” and which must be excluded (thin blog posts, outdated promos, irrelevant location pages).
• Build a negative keyword and search term review process that survives automation. Query expansion requires tighter, faster hygiene. Set weekly cadence and clear rules for exclusions.
• Standardize ad assets and proof points. Create message libraries (benefit statements, differentiators, pricing qualifiers, compliance disclaimers) so text customization doesn’t drift off-brand.
• Instrument quality, not just volume. Ensure your forms, call tracking, and CRM capture lead source and qualified stages. Watch downstream metrics as query matching expands.
• Run controlled experiments. Google notes “one-click experiments” to test impact. Use those tests to evaluate performance by segment (brand vs. non-brand, high-intent services vs. research queries, etc.).

For many advertisers, the real win will come from pairing AI Max with a stronger content and site foundation—so the model has better “raw material” to work with.

What this means for SEO and GEO (yes, it’s connected)

AI Max is another confirmation that paid and organic are converging around the same input layer: your site as machine-readable evidence. If your pages are clear, well-structured, and demonstrate real expertise, you’re better positioned for both:

• AI-driven paid targeting that uses your site to match intent
• AI-driven search experiences that cite sources and summarize results

In other words: the teams that win will be the ones who treat “content” as part of performance marketing infrastructure—not just a publishing calendar.

Need help preparing for AI Max (and the new era of AI Search)?

Real Internet Sales helps businesses and agencies adapt to AI-led discovery across Google Search, AI Overviews, and emerging generative answer engines—without losing measurement discipline or brand control. If you want a practical migration plan for AI Max and a content strategy built for AI search visibility, call 803-708-5514 or visit realinternetsales.com.