A bold warning about a new frontier in search advertising: Google’s AI Max for Search is being positioned as the future of reach and efficiency, yet buyers remain skeptical about whether its AI-driven features truly deliver.
Launched in May, AI Max pools targeting and creative tools powered by AI to improve performance for campaigns across Google Ads, Google Ads Editor, Search Ads 360, and the Google Ads API. It promises to match ads to relevant searches—including terms advertisers haven’t bid on—customize copy based on user intent, and automatically route users to landing pages through optimized text and URLs. In theory, these capabilities should extend reach, boost performance, and save time on optimization.
However, AI Max is currently the sole avenue for brands to place paid messaging in AI Overview or AI Mode results. Ads do appear above and below Overview summaries or within AI Mode results when certain conditions are met, but advertisers cannot request these placements directly. Purchasers report that Google generally selects which ads run through AI Max, a process that feels more like a lottery than a controlled, transparent placement strategy.
There have been early experiments where shopping and text ads appeared beneath the first search result in AI Mode in the U.S. for desktop and mobile, with integration into the first response beginning in Q4 2025. If these placements become more accessible next year, they could be especially valuable for retailers as more shoppers engage with AI-powered tools.
Industry data show AI-driven traffic to retail sites surged during the Black Friday/Cog Monday weekend, rising by roughly 851% year over year per Wpromote’s Polaris platform. Yet agency buyers have mixed experiences. Some report incremental gains, while others see little value. A practitioner who asked to remain anonymous stated that AI Max hasn’t yet delivered on its promise of reliably matching long-tail queries with the right copy and landing pages, failing to demonstrate the anticipated intelligence.
Google contends that AI Max is the fastest-growing AI-powered Search ads product and emphasizes that performance improves when advertisers clearly set goals and leverage the full feature set to allow the system to discover opportunities beyond a conventional keyword list. Yet independent agencies report divergent results. Mediassociates tested AI Max with three clients, allocating 5–10% of search budgets to it. They found it helpful for broad reach, but not yet proven for performance-based objectives. One senior executive noted that expectations for long-tail performance aren’t consistently met.
Responses from practitioners vary further on expected lift. Google previously claimed that non-retail brands activating AI Max would see, on average, a 14% rise in conversions at the same CPA as traditional search ads. But some testers, like Lathrop of Mediassociates, observed the opposite trend in their own experiments, with conversion costs running two to three times higher than standard campaigns.
Industry voices also point to a trade-off: the feature tends to generate broadly scoped keywords that may be only loosely relevant to a client’s category. While there is an option to specify negative keywords, doing so adds time and complexity, which undermines the intended efficiency gains. Some buyers have opted to disable AI Max’s AI-driven creative and automatic landing-page decisions to reclaim control over bidding and destinations, achieving better results.
That doesn’t mean AI Max is a complete failure. Roast, an indie media shop testing AI Max since September, reports mixed outcomes. Brands already targeting broad keywords did not see significant improvement, but those with very narrow, well-defined queries sometimes benefited from the AI-assisted matching. Several practitioners also praise AI Max’s reporting capabilities, which make it easier to review exact queries and generated assets, simplifying client performance reviews.
Despite the mixed signals, many agencies remain cautious but not dismissive. If AI Modes, Overviews, and Gemini ads become more accessible next year, brands may decide the potential gains justify the time and trade-offs involved in proactive management of AI Max features. The central question becomes: where does the value lie—gain in reach and convenience, or added complexity and unpredictability?
Bottom line: AI Max holds promise as a tech-forward tool for search campaigns, but its effectiveness is uneven and highly dependent on how aggressively advertisers guide the system and integrate it into broader strategies. As AI-enabled search environments expand, the industry will be watching closely to see whether the anticipated efficiencies materialize or if the costs in control and optimization outweigh the benefits. How would you balance the potential upside of AI-driven ads with the need for direct oversight and measurable outcomes in your own campaigns? Would you embrace AI Max fully, or prefer to reserve it for specific, high-reach scenarios?
