The End of Dynamic Search Ads
Dynamic Search Ads (DSA) are on their deathbed. Google is officially winding them down in favor of its new AI Max for Search campaigns, and the company just dropped a heavy revision to its performance reporting guidelines and optimization playbooks to prepare advertisers for the transition. If you have been relying on DSA to catch long-tail queries without managing heavy keyword lists, it is time to face the music.
AI Max isn't a completely separate campaign type. Instead, it is an AI-driven targeting and creative overlay for standard Search. Think of it as DSA on steroids, fueled by Gemini-powered asset generation and broader intent matching. But automation without visibility is a recipe for wasted spend. That is why Google's newly updated documentation focuses heavily on how to track where your money is actually going, which queries are triggering your ads, and how to verify that the automated creative variations do not misrepresent your brand.
For those tracking general changes in how search works, we have already discussed the broader convergence of paid and organic strategies in our piece on paid and organic visibility. This shift is part of the broader trend of Gemini redefining search advertising. But today, the immediate fire to put out is migrating your legacy search infrastructure before Google does it for you.
The Clock is Ticking on the Transition
Google's update lays out a clear pathway for the DSA phase-out, and advertisers need to pay close attention to the deadlines. Starting soon, Google will begin prompting accounts to transition their active DSA campaigns over to AI Max for Search campaigns. The automated upgrade tool is rolling out in key phases to make the transition easier.
By September, the transition becomes mandatory. Any remaining active DSA campaigns will automatically migrate to AI Max for Search.
Waiting for the automatic migration tool is a bad idea. Why? Because the system is going to map your existing dynamic ad targets to search themes and asset packages using its own automated logic, which might not align with your true profitability goals. If you migrate manually, you maintain control over the initial asset groups, search themes, and negative keyword lists. The smart move is to run parallel tests now, rather than catching an automated migration surprise when late summer hits.
New Metrics for Under-the-Hood Performance
How do you measure a campaign where you don't write all the headlines? That has been the primary complaint about Google's performance reporting since AI Max launched. In the updated documentation, Google has added specific guidance on how to evaluate campaign performance under the new reporting interface.
Specifically, the docs outline how to analyze search category groups and query trends. Google is trying to bridge the gap between classic search query reports (SQRs) and the black-box nature of AI Max, similar to the shifts we've seen with Google's AI-generated summaries in search ads. The reporting updates detail how to use the "Search terms insights" feature to identify exactly which themes are converting, even when the system is matching broad match keywords with dynamically generated landing pages.
Advertisers also get improved asset performance ratings. Google labels dynamic text creations as "Low", "Good", or "Best". The new guidance warns against obsessing over individual asset grades. Instead, focus on the overall campaign return on ad spend (ROAS) and use the asset ratings purely to feed the algorithm better raw material when an asset is flagged as underperforming.
Optimization Tactics That Actually Work
Let's talk about optimization because standard best practices do not copy-paste into an AI-first search setup. In AI Max, your targeting is only as good as your inputs. The documentation emphasizes three main levers: search themes, asset groups, and brand controls.
First, search themes are crucial. Think of them as hints for the AI. You can add up to 10 search themes per asset group to guide the system toward high-value queries that classic match types might miss. Do not treat search themes like broad match keywords; treat them as conceptual boundaries.
Second, your asset groups need to be comprehensive. If you only provide one headline and one description, you are tying the algorithm's hands behind its back. Provide the maximum allowed creative assets—including high-quality images and logo variations—so the system can test which combinations drive the highest click-through rate (CTR) and conversion rate.
Finally, brand safety is not optional. You must use listing group exclusions and brand lists to prevent your ads from showing up on queries that damage your brand identity. Google's documentation details how to apply brand exclusions at the campaign level, ensuring AI Max stays within the guardrails you define.
What This Shift Means for Ad Control
The shift to AI Max for Search is a clear sign of where search engine marketing (SEM) is going. Control is being swapped for scale. For publishers and performance marketers alike, this means moving from micro-managing bids to managing data quality.
If you feed the algorithm poor data (like unsegmented conversion tracking), it will optimize for low-value traffic. The marketers who win this transition will be those who master first-party data integration and offline conversion imports. AI Max is powerful, but it is also hungry for context. Feed it the right signals, and it works. Ignore the reporting updates, and you will watch your margins slide.