Google is retiring Dynamic Search Ads. After years as the default way to cover long-tail and feature-page queries you could not feasibly keyword-target by hand, DSA is being folded into AI Max for Search — Google's bundle of intent-based query matching, automated ad text, and final-URL expansion. In Google's words, "Starting in September, campaigns using Dynamic Search Ads will automatically be upgraded to AI Max." For any B2B SaaS account leaning on DSA to catch the messy, high-variance long tail of how buyers describe their problem, this is not a nice-to-know — it is a forced decision with a clock on it.
The good news is that you get to make the decision rather than have it made for you, but only if you act inside the migration window. This post lays out the actual 2026–2027 timeline (which was quietly extended after advertiser pushback), what AI Max changes under the hood relative to DSA, why the change lands harder on B2B SaaS than on most verticals, and a concrete migration sequence that protects query quality instead of gambling it on the algorithm. If you have never compared the two formats, start with our primer on dynamic search ads vs standard search ads — this post assumes you know what DSA did and focuses on what replaces it.
What is actually changing
DSA was always a slightly awkward campaign type: instead of bidding on keywords, you pointed Google at your site (or a page feed), it crawled your pages, and it generated dynamic headlines and search targets from that content. It was the pragmatic way to cover queries you could not enumerate — every feature page, every help-doc-adjacent search, every odd phrasing of a problem your product solves. AI Max keeps that "cover the long tail automatically" capability but moves it out of a standalone campaign type and into a set of toggles on a normal Search campaign. The three pillars are search-term matching (broad, intent-driven expansion beyond your keyword list), automatically generated and customized ad text, and final-URL expansion that can send a click to whichever of your pages best matches the query.
The headline number Google attaches to the change is a performance one: it reports that "AI Max for Search campaigns see an average of 7% more conversions or conversion value at similar CPA/ROAS when using the full feature suite." That is a cross-advertiser average, not a SaaS-specific figure, so the honest read is "directional upside, conditional on good inputs" rather than a guaranteed lift. The mechanism behind the number — broader query matching plus AI-assembled creative — is exactly the kind of automation that rewards clean conversion signals and punishes messy ones, which is why the migration is more than a settings swap for B2B SaaS.
The real timeline: September 2026 vs February 2027
Google's original framing made it sound like everything happened in September 2026. It does not — the schedule was extended after pushback. DSA campaign creation reopened around June 15, 2026, opening a voluntary migration window that runs through January 2027. In September 2026, automatically created assets and campaign-level broad match settings transition to AI Max as originally scheduled. In January 2027, the ability to create new DSA campaigns ends. In February 2027, automatic migration begins for any DSA campaigns still running. So the partial transition does land in September, but the full forced migration of your campaigns was pushed back roughly six months.
Google was explicit about why it blinked. As reported by Search Engine Land, the company said, "We've heard your feedback loud and clear: you need more time to transition from Dynamic Search Ads (DSA) to AI Max." The delay was partly about not disrupting Q4 planning. For you, the extension is breathing room, not a reprieve — it converts a scramble into a structured test. The teams that use the window to migrate one or two campaigns deliberately, on real conversion data, will enter February 2027 already knowing how AI Max behaves on their account. The teams that wait get the same migration with none of the learning, applied all at once.
Why this hits B2B SaaS harder than most verticals
Query expansion is a double-edged tool, and B2B SaaS sits on the sharp edge. The whole point of AI Max's search-term matching is to reach queries you did not explicitly target — which is wonderful when those queries are genuine in-market buyers phrasing a problem your product solves, and expensive when they are job seekers, students, free-tool hunters, or people researching a competitor. SaaS keyword spaces are full of these adjacent-but-worthless queries: "free alternative to X," "is Y worth it," "how to do Z in a spreadsheet," "Z jobs." DSA already had this problem; AI Max's broader matching can amplify it if you migrate without re-checking your negative-keyword discipline.
The deeper issue is measurement. AI Max optimizes toward whatever you tell it a conversion is, and B2B SaaS funnels are long and lead-quality is wildly variable — a newsletter signup, a free-trial start, a sales-qualified demo, and a closed deal are all "conversions" that mean radically different things. If AI Max is optimizing toward cheap top-funnel form fills, its query expansion will faithfully find you more cheap top-funnel form fills, and your CAC will look fine while your pipeline quietly degrades. This is the same trap we describe in conversion tracking for SaaS: automation makes the cost of measuring the wrong thing much higher, because the algorithm scales whatever you reward. Migrating to AI Max without first confirming you optimize toward revenue-quality events is the single biggest risk in this transition.
What AI Max changes under the hood
The practical difference from DSA is control. DSA gave you a page feed or a site crawl and a bid, and not much else to steer it. AI Max wraps the same automatic reach in guardrails you actually configure. Search-term matching can be paired with brand inclusion and exclusion lists, so you can tell Google which brands you do and do not want to appear against — directly relevant to SaaS teams running, or trying to avoid, competitor-adjacent traffic. Location-of-interest settings let you target by where the searcher is interested in, not just where they are. And final-URL expansion, which lets Google route a click to its best-matching page on your site, can be constrained with URL rules so it does not dump high-intent traffic onto your blog or a stale page.
Those controls are the whole game for B2B SaaS. The brand exclusion list is how you keep AI Max from confusing your conquesting strategy or bleeding spend onto irrelevant brand queries — a natural extension of the discipline in our competitor analysis for SaaS guide. Final-URL expansion controls are how you make sure a "data migration software" query lands on your migration feature page, not your generic homepage. And the bidding underneath is still Smart Bidding, so everything in our bidding strategies for B2B SaaS breakdown — feeding the algorithm value signals, not just conversion counts — applies directly. AI Max is best understood as DSA's reach plus Performance Max-style controls, minus the black-box opacity that made PMax so contentious.
How to migrate without losing query quality
Treat the migration as a controlled test, not a switch you flip across the account. Start by picking one or two DSA campaigns that are well-understood — ideally ones with enough conversion volume that a side-by-side comparison will produce a real signal within a few weeks. Migrate those to AI Max while leaving the rest of the account untouched, and run them in parallel against an equivalent control for long enough to judge on conversions and conversion value, not clicks or CTR. This is the same evaluation rigor we apply to auditing Performance Max campaigns: automated campaign types must be judged on downstream revenue quality, because their surface metrics flatter them.
Before you migrate even the test campaigns, prepare the inputs AI Max will lean on. Refresh your negative keyword lists, because broader matching makes a weak negative list far more expensive than it was under tightly-keyworded campaigns. Build out brand inclusion and exclusion lists so query expansion respects your competitive strategy. Set final-URL expansion rules so high-intent clicks reach the right product or feature page. And confirm your conversion tracking reports the events you actually care about — a step made more delicate by 2026's tracking changes, which we cover in the GA4 / Google Ads consent split breakdown. Migrating with these guardrails in place is the difference between capturing the 7% upside and importing a stream of cheap, off-target traffic.
Your pre-September migration checklist
With the full forced migration not landing until February 2027, you have a genuine window — use it as a project, not a deadline. First, inventory every DSA campaign in the account and note what each one is really for: long-tail coverage, feature-page capture, catch-all for queries your keyword campaigns miss. That inventory tells you which campaigns are low-risk to migrate first and which carry enough spend to warrant a careful side-by-side. Second, audit your guardrails — negative keywords, brand lists, location settings, URL rules — because AI Max inherits whatever discipline (or lack of it) you bring to it. Third, verify your conversion setup optimizes toward pipeline-quality events, not vanity form fills.
Then migrate deliberately: a test cohort now, a measured comparison over several weeks, and a phased rollout of the rest well before the January 2027 creation cutoff and February 2027 automigration. Google's own recommendation is unambiguous — it advises transitioning now "to maintain full control over your campaign setup" — and the logic holds for SaaS in particular, where the wrong default settings can quietly reshape who your ads reach. If you would rather not run this migration blind, our Google Ads audit can pressure-test your DSA-to-AI-Max plan, your negative and brand lists, and your conversion tracking before the September transition begins — so the upgrade happens on your terms, with your guardrails, on your measurement of what a real customer is worth.