If you run paid search campaigns on Microsoft Advertising, things just got a lot more interesting. At the end of April 2026, Microsoft dropped a sweeping set of announcements around what they’re calling the three eras of the web. And buried inside all that agentic commerce talk is something PPC practitioners need to pay close attention to right now: AI Max for Search campaigns.
Here is what it is, why it matters, and what we’d actually recommend doing about it.
The Three Eras Framework (And Why It Should Change How You Think About Search)
Microsoft framed their announcements around three distinct moments that are all happening simultaneously in the market right now:
- Help me find it: The traditional web. People open a browser, type a query, scan results, click. This is still the majority of your traffic today.
- Help me choose: The LLM web. Users interact with AI assistants that synthesize options and surface recommendations. The human still makes the final call, but the AI curates the shortlist.
- Do it for me: The agentic web. An AI agent discovers, evaluates, and completes a transaction entirely on someone’s behalf.
What makes this more than a flashy framework is the data behind it. Automated traffic is growing eight times faster than human traffic. AI-driven sessions nearly tripled in 2025. Agentic browser traffic is up roughly 8,000 percent year over year. That’s not a slow-moving trend. That’s a structural shift that’s already happening.
The implication for paid search is real: the audience making purchase decisions is no longer only human. If your campaigns aren’t optimized to show up in AI-curated results, you’re already leaving ground.
AI Max for Search: What You Actually Need to Know
AI Max is Microsoft’s answer to the question of how search advertising performs in a world where queries are more conversational, complex, and unpredictable than traditional keyword match types can handle.
Available in open pilot starting in May 2026, AI Max does three core things:
- Expanded query matching: Instead of relying purely on keyword triggers, AI Max uses AI to match your ads to relevant queries that your current keyword list might not cover. Think of it as smart broad, but with more transparency than you’d get elsewhere.
- Asset personalization: The system will adapt your ad copy and creative assets to fit the context of the query. This is particularly relevant for Copilot Search and Copilot Answers, where users are asking nuanced, open-ended questions.
- Smarter URL routing: AI Max can direct users to the most relevant landing page based on what they’re actually asking for, rather than defaulting to your homepage or a generic category page.
Critically, Microsoft is building this with advertiser controls baked in. You can set brand inclusions and exclusions, term exclusions, and messaging constraints. And they’re providing search term and asset reporting from day one, which is something Google hasn’t always done well with its own AI-driven formats.
From a practitioner standpoint, the transparency Microsoft is promising here is meaningful. Knowing why your AI-driven campaign is or isn’t performing is what separates a useful tool from a black box.
Offer Highlights: A New Ad Format Built for Copilot
Alongside AI Max, Microsoft is introducing Offer Highlights. These are ad experiences designed specifically for Copilot conversations, not retrofitted banner placements.
The idea is that Copilot can surface specific, relevant differentiators from your product or offer at the exact moment a user is making a decision. Free shipping. In-store pickup. A limited-time deal. The right message, at the right moment in the conversation.
Best Buy is among the first brands activating Offer Highlights, and the format is currently available for retail use cases in English-speaking markets. Advertisers configure their differentiators inside Microsoft Merchant Center.
If you’re running retail or ecommerce campaigns, this one is worth getting on your roadmap. The format is purpose-built for purchase-intent moments, which is exactly where you want your budget working.
Audience Generation: Finally, AI That Does the Audience Build for You
The third announcement worth flagging for paid search teams is Audience generation, currently in closed pilot in the US and Canada.
The premise is simple: you describe your ideal customer in plain language, and Microsoft’s AI translates that into targeting settings. Demographics, locations, in-market signals, and even custom audiences.
The example Microsoft used was something like ‘Brooklyn-based consumers aged 20 to 45 with disposable income, attending concerts and pop-up events this spring, looking for nearby shopping and dining options.’ The AI figures out how to build that audience inside the platform.
This has obvious efficiency implications for teams managing multiple campaigns across different audience segments. It also opens the door to testing audience combinations that would take a long time to construct manually.
What We’d Tell Our Clients Right Now
Here is our practical take as a paid search team that has been watching this space closely.
1. Get into the AI Max pilot.
Open pilot starts in May. Talk to your Microsoft rep or log into your account to get access. The earlier you’re in, the more data you’ll have before this becomes a standard feature.
2. Audit your product feed and Merchant Center setup.
AI Max, Offer Highlights, and the broader shift toward AI-driven shopping all depend on clean, structured product data. If your feed is incomplete or stale, you’re limiting how well any of these tools can work. This is the foundation everything else is built on.
3. Don’t ignore the ‘Help me choose’ era.
Most of your customers right now are in that middle era. They’re using AI assistants to research and compare before they click anything. That means your organic content strategy, your product page optimization, and your schema markup all influence whether you even make the shortlist that gets advertised against. Paid and organic are more connected than ever in this environment.
4. Set your guardrails before scaling.
AI Max gives you controls. Use them. Define your brand inclusions and exclusions before you let the system expand. Review search term reports regularly, especially in the first few weeks. Treat this like any new broad match rollout: trust but verify.
5. Watch how Microsoft Clarity’s AI Visibility insights evolve.
This is a free tool that shows you which of your web pages are being cited in AI-driven answers, where competitors are appearing instead of you, and what content gaps to close. For paid search teams, this kind of visibility into the AI discovery layer is genuinely new and useful. Sign up if you haven’t already.
The Bottom Line
Microsoft is moving fast and, for once, they’re moving in a direction that gives advertisers more transparency and control than what we’re used to from some of the bigger AI advertising announcements we’ve seen in recent years.
AI Max is not a set-it-and-forget-it tool. It’s a new lever that rewards advertisers who stay engaged, review their data, and give the system useful signals to work with. If that sounds like how you already run your best-performing campaigns, you’re in a good position to take advantage of it.
The paid search landscape is changing faster right now than it has in years. The teams that come out ahead will be the ones who are testing these tools while others are still waiting to see what happens.
Want help getting your Microsoft Advertising campaigns ready for AI Max? Our paid search team is already working with clients on this. Let’s talk.
