Treat the DSA Upgrade to AI Max as a Search Term Migration

Google's 2026 Dynamic Search Ads upgrade to AI Max is not just a settings change. SEM teams should preserve DSA query, landing-page, and exclusion history before automation expands.

Treat the DSA Upgrade to AI Max as a Search Term Migration

The risky part of Google's Dynamic Search Ads upgrade is not the upgrade itself. The risk is treating it like a settings change.

DSA has always carried a quiet operational asset: the history of what Google matched, which pages it sent people to, which queries were worth paying for, and which terms burned budget without enough return. If that history is not reviewed before AI Max takes over more of the workflow, the account can enter a broader automation environment with less context than it had before.

Google says [AI Max for Search campaigns is moving out of beta](https://blog.google/products/ads-commerce/dsa-upgrade-to-ai-max-2026/) and that eligible Search campaigns using Dynamic Search Ads, automatically created assets, or the campaign-level broad match setting will automatically upgrade starting in September 2026. For DSA users, dynamic ad groups will transition into standard ad groups, with legacy URL controls preserved and AI Max features enabled.

That is a product migration.

For paid search teams, it should also be a search term migration.

DSA History Is Decision History

Most DSA accounts contain years of matching evidence. It is rarely clean, but it is useful.

It shows which long-tail searches found the right page. It shows which product, service, location, or support queries looked relevant to Google but failed commercially. It shows where URL targeting was too loose. It shows which page groups acted like profitable discovery engines and which acted like expensive catch-alls.

That matters because AI Max builds on the same basic problem DSA tried to solve: people do not always search in tidy keyword lists. Search behavior is messy. Queries are longer, more conversational, more specific, and often tied to details buried inside a site.

The difference is that AI Max adds more automation around search term matching, text customization, and final URL expansion. That can create more reach, but it also raises the cost of weak review.

Export The Boring Stuff Before The Upgrade

Before the September automatic upgrade window, teams using DSA should export the practical history:

- DSA search terms - landing pages - dynamic ad targets - URL rules - negative keywords - negative URLs - pages that converted - pages that spent without enough qualified demand - queries that produced weak leads, returns, or low-margin sales

The goal is not to preserve the old setup for nostalgia. The goal is to protect decisions that still matter.

If a DSA ad group regularly matched high-intent searches to a specific category page, that is a signal worth carrying forward. If another ad group kept pulling in support queries, job seekers, competitor comparisons, or low-value research searches, that is also a signal. It should become a negative keyword candidate, a URL exclusion candidate, a monitoring rule, or a note in the account review history.

AI Max should not inherit a vague account. It should inherit a documented one.

Review Query And Page Together

Google's [AI Max reporting guidance](https://support.google.com/google-ads/answer/16470459) points teams back to the same basic discipline: inspect search terms and landing pages together.

That pairing is important. A search term by itself can be misleading. A landing page by itself can be misleading. The combination tells the real story.

For example, "commercial patio furniture replacement slings" might be excellent traffic for a retailer with replacement parts. It might be useless for a retailer that only sells full sets. A query can contain the right category and still represent the wrong job, buyer, price point, or page fit.

This is where search term optimization becomes more than adding negatives. The team needs to classify the query, inspect the matched page, judge commercial intent, and decide whether the action is block, route, watch, promote, or leave alone.

Do Not Rush The First Negative Keyword Pass

Google's AI Max reporting documentation recommends waiting at least 2 weeks after enabling AI Max before making changes like adding negative keywords. That does not mean teams should stop watching the account. It means the first review period should be structured.

During that period, build a watchlist instead of reacting to every odd query. Mark questionable search terms. Track the page that served. Watch spend, conversion quality, and repeat patterns. Separate one-off weirdness from structural leakage.

This is especially important for agencies. A client does not need to hear that automation did something strange. They need to see a decision trail:

- what search term appeared - what page served - what intent was inferred - what performance signal supported the decision - whether the recommendation is a negative keyword, URL exclusion, asset review, or no change

That is the difference between automation and accountable automation.

Guidelines Are Inputs, Not Governance

Google is adding more ways to guide AI Max, including AI Brief, matching guidelines, messaging guidelines, and audience guidelines. That is useful because it gives advertisers more language for steering the system.

But guidance is not governance.

Guidelines can tell the system what the business wants to prioritize or avoid. They do not replace inspection of the terms that actually spend money. They do not decide whether a conversion is good revenue, a bad lead, a returned order, or a client complaint waiting to happen.

The best SEM teams will use AI Max guidance as input and search term review as the feedback loop.

A Practical Migration Checklist

Before the upgrade, save and review:

- top converting DSA search terms - high-spend DSA search terms with weak conversion quality - landing pages that repeatedly won good traffic - landing pages that repeatedly attracted bad traffic - dynamic ad targets and URL rules - negative keywords and negative URLs - query themes that should be watched after migration - brand, location, audience, and message constraints for AI Max

After the upgrade, build a weekly review around:

- AI Max search terms - search terms and landing pages from AI Max - expanded final URL assets - AI-created or customized text assets - negative keyword and negative URL recommendations - query intent categories - approval status for account changes

That review should not live in someone's memory. It should live in a workflow.

The Upgrade Is A Chance To Improve The System

DSA often became a catch-all because teams did not have time to structure every long-tail query. AI Max may make that reach easier, but reach is not the same as control.

The teams that handle this transition well will preserve the DSA history that matters, add stronger review rules, and use AI Max reporting to understand how queries, pages, headlines, and assets work together.

More automation makes search term judgment more important, not less.

AdgOptz is built around that workflow: turning raw search term data into explainable review, intent classification, negative keyword decisions, and approval history. The DSA-to-AI Max transition is a good moment to make that process cleaner before automation expands the surface area.

How To Do It

Step 1: Export the DSA evidence before the upgrade. Save search terms, landing pages, auto targets, negatives, conversion data, and any notes that explain why old exclusions or targets were created.

Step 2: Group the exported terms by intent and page fit. Mark which terms were good demand, irrelevant demand, support intent, competitor research, weak landing-page matches, or terms that need a new destination in AI Max.

Step 3: Build a migration watchlist instead of copying every old negative decision immediately. Start with clear policy, brand, support, and irrelevant exclusions, then let borderline terms collect new evidence in the AI Max environment.

Step 4: Review query and page behavior together after the migration. If a term is useful but lands on the wrong page, fix routing or creative guidance before adding a negative keyword.

Final check: Compare the first two to four weeks of AI Max search terms against the DSA export. Promote useful query and page patterns, document new exclusions, and keep a visible trail of what changed during the migration.

Sources

- [Google Ads & Commerce Blog: We are upgrading Dynamic Search Ads to AI Max](https://blog.google/products/ads-commerce/dsa-upgrade-to-ai-max-2026/)

- [Google Ads & Commerce Blog: AI Max Turns 1 with new ways to steer performance](https://blog.google/products/ads-commerce/ai-max-new-features/)

- [Google Ads Help: About reporting in AI Max for Search campaigns](https://support.google.com/google-ads/answer/16470459)

- [Google Ads Help: About the search terms report](https://support.google.com/google-ads/answer/2472708)