Google AI Max GA: DSA Sunset Playbook for Agencies
Google AI Max hit GA on April 15, 2026. DSA campaigns auto-upgrade in September. Agency migration playbook, benchmarks, and the 7% lift claim audited.
GA Date
Google's Lift
Deadline
Window
Key Takeaways
On April 15, 2026, Brandon Ervin, Director of Product Management at Google Ads, announced that AI Max for Search has reached general availability after 11 months of open beta. Simultaneously, Google announced that Dynamic Search Ads, Automatically Created Assets, and the campaign-level broad match setting will auto-upgrade to AI Max in September 2026. Voluntary upgrade tools begin rolling out the week of April 15.
Every agency running Google Search ads now has a September deadline. This post is the migration playbook — what shipped, what the 7% lift claim actually measures, what independent tests show, how the timeline compares to the 2022 Smart Shopping → Performance Max sunset, and the week-by-week calendar agencies should be running from May through September 2026.
This is the DSA-migration counterpart to our AI Max text guidelines 27% conversion lift guide. That one covered the creative-control layer (term exclusions, messaging restrictions, brand voice). This one covers the campaign-structure layer.
Ervin, Adweek, April 15:"For years, DSA has been this really great catchall campaign for advertisers to help capture the long tail of traffic that they might not have been getting with manual keyword campaigns. But search continues to become a lot more dynamic, a lot more complex and unpredictable, and so it's hard to continue to keep up with that."
What April 15 Actually Shipped
April 15 was a GA state change, not a net-new product launch. AI Max for Search had been in open beta since May 2025 — roughly 11 months — with "hundreds of thousands of global advertisers" already using it per Google's own announcement. What changed:
- GA status. AI Max is now the default recommended campaign type for Search, not a beta feature.
- Auto-upgrade announcement. September 2026 is the hard deadline for DSA, ACA, and campaign-level broad match to be absorbed into AI Max.
- Voluntary upgrade tools. Rolling out the week of April 15 — in-UI banners for ACA and broad-match users, one-click A/B experiment tools, and DSA-specific upgrade flows.
- New DSA creation blocked in September. Across the Google Ads UI, Google Ads Editor, and the Google Ads API.
Google's communication explicitly framed this as "announcement to completion in 5.5 months," shorter than any prior major campaign-type sunset. That compression is the single most important operational detail in this announcement.
Three Campaign Types Being Sunset
The September auto-upgrade absorbs three separate legacy campaign features into AI Max:
| Legacy feature | What it did | Replaced by |
|---|---|---|
| Dynamic Search Ads (DSA) | Generated headlines + landing pages from crawled site content; matched based on query-to-content similarity | AI Max with search-term matching + final URL expansion |
| Automatically Created Assets (ACA) | Generated extra headlines and descriptions for RSAs from advertiser content | AI Max text customization |
| Campaign-level broad match | Account-wide or campaign-wide broad match setting that applied to all keywords in scope | AI Max search-term matching |
Notable non-sunsets: standard keyword campaigns continue as-is. Exact match and phrase match stay. Google's own spokesperson told Search Engine Land: "Keywords remain an essential component of a successful campaign strategy, providing the 'fuel' for our AI." If a client's account is pure exact and phrase match with no DSA, ACA, or campaign-level broad match, nothing auto-upgrades in September.
The scope matters for triage. DSA was historically the catch-all for service businesses, lead-gen, and publisher sites without product feeds. Those advertisers — unlike retailers — have fewer fallback campaign types. The September migration is most operationally painful for lead-gen and B2B agencies, least for retail agencies that have already moved to Performance Max.
Auditing the 7% Lift Claim
Google's April 15 post states: "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." Four things about that claim require unpacking before agencies quote it to clients:
| The question | What Google disclosed |
|---|---|
| Comparison baseline | AI Max with search-term matching only (one of three features). Not vs. DSA. Not vs. exact-match keywords. |
| Measurement dataset | "Google internal data, 2026." No sample size disclosed. |
| Who's included | Non-Retail advertisers. Retail is explicitly excluded; no retail benchmark is provided. |
| Feature set under test | "Full feature suite" = search-term matching + text customization + final URL expansion simultaneously. |
Two previous AI Max lift numbers have circulated in Google's communications. Agencies should know exactly how they compare to avoid quoting them incorrectly:
| Number | When | What it measured |
|---|---|---|
| 14% conversion uplift | May 2025 beta launch | AI Max vs. keyword-match-only equivalent setup |
| 27% conversion lift | February 26, 2026 text guidelines rollout | Text-guidelines-equipped AI Max for campaigns historically reliant on exact and phrase match |
| 7% conversions or value | April 15, 2026 GA | Full-feature AI Max vs. matching-only AI Max; non-Retail only |
Do not conflate the three.14%, 27%, and 7% measure different things against different baselines for different audiences. Any client pitch that claims "Google says AI Max gives you 27% more conversions" is wrong unless the client falls into the specific February 26 text- guidelines segment. For the April 15 announcement, the conservative and accurate quote is "7% average lift when running all three AI Max features simultaneously, for non-retail advertisers."
What Independent Tests Show
The independent testing record on AI Max is more varied than Google's 7% headline suggests. Four data points worth knowing:
| Source | Sample | Result |
|---|---|---|
| SMEC (agency, multi-client) | 250+ campaigns | Median revenue +13%; median CPA +16%; only 22% of campaigns hit original ROAS targets; ROAS range −35% to +42% |
| Brainlabs (agency, structured test) | 23 tests, 16 mature accounts | All three features enabled: +40% higher success rate vs. baseline; Quality Score 6.8 → 7.3 |
| Monks (agency, August 2025) | ~30,000 AI Max search terms | 99% of impressions generated zero conversions |
| B2B lead-gen test (Feb–Mar 2026) | Single advertiser | Clicks nearly tripled, CPC −59%, but conversions −38%, CPL $493 → $850 |
The pattern is consistent across agencies: AI Max tends to expand reach and impressions, but whether that translates to conversions or revenue varies wildly by vertical, account maturity, and brand-control setup. SMEC's query- expansion audit (1M+ impressions) found AI Max still delivers 80% of impressions on exact-match queries, 20% phrase, and less than 1% broad — but that small broad slice had 49–63% overlap with legacy broad match, and one account saw 69% of impressions on competitor-brand terms.
Agency takeaway: plan for variance, not uniform lift. The campaigns most likely to see the 7% headline are mature accounts with clean conversion tracking, defined brand-safety guardrails, and non-retail verticals with long-tail query space. Everyone else should expect more variance in both directions.
Smart Shopping → PMax Precedent
The only comparable precedent for this kind of forced migration is the Smart Shopping → Performance Max transition in 2022. The timelines diverge meaningfully:
| Event | Smart Shopping → PMax | DSA → AI Max |
|---|---|---|
| Announcement | January 27, 2022 | April 15, 2026 |
| Voluntary upgrade starts | April 2022 | Week of April 15, 2026 |
| Auto-upgrade window | July–September 2022 | September 2026 |
| Total duration | ~9 months | ~5.5 months (40% shorter) |
| Promised lift | +12% conversion value at same/better ROAS | +7% conversions or value at similar CPA/ROAS |
| Learning period recommended | 1–2 weeks | Not stated (expect 1–2 weeks) |
Two lessons from 2022 that apply to 2026:
- Learning periods bite the agencies that wait. In 2022, campaigns migrated in July and August hit learning- period issues right through September — peak back-to-school spend. Campaigns voluntarily migrated in April and May had the learning period behind them. The 2026 compressed window makes this risk more acute.
- Reporting continuity is softer than the marketing claims. Many agencies lost access to pre-migration Smart Shopping benchmarks in specific dimensions after the auto-upgrade. Best practice: export everything useful before migrating, regardless of platform promises.
Default Feature Activation After Upgrade
Not every upgraded campaign gets the same default settings. Google ports different configurations depending on which legacy feature the campaign started from:
| Source campaign | Search-term matching | Text customization | Final URL expansion |
|---|---|---|---|
| DSA | On | On | On |
| ACA | On | On | Off |
| Campaign-level broad match | On | Off | Off |
The practical effect: a DSA campaign that auto-upgrades inherits the most aggressive AI Max configuration — all three features active by default. If the client is not ready for Google's AI to generate creative, match broader queries, and route to expanded landing pages, you want to voluntarily migrate before September so you can opt individual features off per campaign. After auto-upgrade, each feature is still toggleable, but you're already reporting on traffic Google has chosen.
The Cost-of-Delay Model
Three costs accumulate the longer agencies wait to voluntarily migrate:
- Control cost. Every week past July without voluntary migration means less time to dial in text guidelines, brand safety rules, and final URL expansion controls before Google applies its defaults.
- Learning-period cost. Campaigns migrated in September hit their 1–2 week learning period in the final two weeks of Q3 — the highest-spend B2B window of the year. Any learning-period underperformance directly reduces quarter-end results.
- Reporting-continuity cost.Historical DSA benchmarks not exported before auto-upgrade may become partially unavailable. Without clean pre/post comparison data, it's harder to prove AI Max improved or hurt performance — which matters for client retention discussions.
Our migration playbook rolls into our PPC advertising service. Agencies and in-house teams that want a documented migration calendar, voluntary-upgrade A/B tests, and pre/post reporting scaffolding shipped before September can engage us directly.
Agency Migration Calendar May–September
The month-by-month calendar agencies should be running against their DSA book of business:
| Month | Activity | Deliverable |
|---|---|---|
| May 2026 | Baseline export — 90-day DSA CPA, ROAS, CPL, impression share, query data per campaign | Pre-migration benchmark file per client |
| June 2026 | Run Google's one-click AI Max A/B experiment on 1–2 mid-volume DSA campaigns; 14-day minimum test window | AI Max vs. DSA comparison memo per client |
| July 2026 | Voluntary upgrade of highest-spend DSA campaigns with text guidelines + brand controls pre-configured | Migrated campaign group A live on AI Max |
| August 2026 | Migrate remaining DSA campaigns; confirm all ACA-using and campaign-level broad-match campaigns are configured | Migrated campaign group B live on AI Max |
| Early September 2026 | Final audit — any remaining DSA campaign auto-upgrades with Google's defaults | Pre/post comparison deck per client |
| October 2026 | Learning period complete; analyze post-migration performance against May baseline | 30-day post-migration report |
What Google Has Not Clarified
Seven unresolved items agencies should flag to clients so nobody assumes certainty where there isn't any:
- The exact September 2026 auto-upgrade start date — Google says "September," not a specific day
- The 7% lift's sample size — undisclosed
- The Retail benchmark — Retail is excluded from the 7% figure with no replacement number published
- Mixed-campaign behavior — accounts with both DSA and standard keyword ad groups in the same campaign; whether AI Max applies to all ad groups or only the dynamic ones
- Historical DSA reporting retention period after migration — not specified
- A formal opt-out window — does not appear to exist
- Bulk migration via Google Ads Editor — minimally documented; high-volume accounts may face operational friction
The First 30-Day Client Playbook
Week-by-week for the first 30 days of a client engagement specifically focused on DSA → AI Max migration:
Week 1
Baseline + audit
- Export 90-day DSA performance per campaign
- Identify ACA-using + campaign-level-broad-match campaigns
- Run the agentic-seo-adjacent text-guidelines audit from our text-guidelines post
- Brief the client on the 7% / 14% / 27% distinction
Week 2
A/B test setup
- Pick 1–2 representative DSA campaigns
- Launch Google's one-click AI Max experiment
- Set minimum 14-day observation window
- Document assumptions in client-shared tracker
Week 3
Brand + creative controls
- Configure text guidelines for migration-candidate campaigns
- Set term exclusions and messaging restrictions
- Pre-stage brand lists and excluded landing pages
- Align with legal/compliance on AI-generated creative
Week 4
Test read + migration kickoff
- Read A/B test results; share memo with client
- Voluntarily migrate first campaign group with pre-configured controls
- Schedule the rest per the May–September calendar
- Document the Q4 post-migration report cadence
Conclusion
DSA → AI Max is not a radical product change — the underlying capability has been available in beta for 11 months. The April 15 news is the timeline. Agencies that treat September as a deadline rather than a casual direction-of-travel will save clients meaningful quarter-end performance. Agencies that assume "Google will figure it out" will watch October reports explain the drop.
Voluntary early migration is the only real control lever. The migration window is 40% shorter than the Smart Shopping → PMax precedent. Google's 7% lift claim is conservative and narrowly framed — do not promise more than that to clients, and expect variance in both directions based on independent agency tests. Export your baseline data before you migrate anything. That's the short version.
Run Your DSA → AI Max Migration With Expert Support
We document, A/B test, and execute the May–September migration calendar per client — with pre/post reporting scaffolding that survives the September auto-upgrade.
Frequently Asked Questions
Related Guides
More on Google Ads API, AI Max, and agency-side migration playbooks.