This matters because Google is not treating AI search as a side project. Google says it now sees more than 5 trillion searches a year, and it has reported that AI Overviews have driven more than a 10% increase in Google usage for the types of queries that show them in major markets like the U.S. and India. Google also says commercial query volume is increasing as people use these AI-powered search experiences more often.
That means performance marketers are no longer competing only for the old ten blue links or traditional sponsored listings. They are competing for attention inside a search flow where Google can interpret a long question, break it into subtopics, infer commercial intent, and insert the “next step” before a user ever clicks through to a normal results page.
What exactly changed in Google AI Mode
Google rolled AI Mode out more broadly in the U.S. in May 2025 as its most advanced AI search experience. Under the hood, it uses a query fan-out approach that breaks a question into subtopics and issues multiple searches at once, helping Google build a deeper answer and support follow-up questions inside the same flow.
On the ads side, Google began testing ads in AI Mode in 2025. It said relevant ads may appear below and also be integrated into AI Mode responses. Since then, Google has kept expanding its commercial thinking around AI search. In February 2026, it said it had spent the past year testing new AI Mode ad formats, including shopping-focused placements and similar formats for categories beyond retail, such as travel. It also introduced Direct Offers as a monetization format meant to help brands stand out when a shopper is close to buying.
At the same time, Google has not opened the floodgates in every context. On March 17, 2026, Search Engine Land reported that Google confirmed AI Mode remains ad-free for users who connect apps to enable Personal Intelligence, even while ad testing continues in the U.S. That is an important nuance, but it does not change the bigger direction of travel: AI search is becoming commercial.
Why performance marketers should take this seriously now
The old search playbook assumed a user typed a keyword, scanned a page, and clicked. AI Mode changes that. It can interpret complex questions that do not look like obvious commercial queries at first glance, then decide there is buying intent within the journey.
Google’s own example shows a user asking why a pool is green and how to clean it, then getting ads relevant to products like pool vacuum cleaners even though the query itself is not a direct product search.
That is a major shift. It means visibility is moving upstream, closer to research and problem-solving moments. If your account only performs when users search in a narrow, bottom-funnel way, you may miss the newer moments where AI systems are now surfacing brands.
It also means campaign setup matters more than ever. Google explicitly says that advertisers are less likely to target the complex, answer-seeking queries that trigger AI Overviews, which is why it recommends AI-powered targeting solutions such as broad match, AI Max for Search campaigns, Performance Max, Shopping campaigns, or Dynamic Search Ads for eligibility and matching in these environments.
What performance marketers must do before they lose visibility
1. Stop treating keyword lists as your whole search strategy
If your account is still built around tight exact-match clusters with minimal exploration, you are likely too narrow for where Google Search is going. Google’s own guidance makes it clear that AI-driven placements depend on broader matching systems that can understand intent beyond the literal keyword. For many advertisers, that means testing broader coverage rather than protecting every query behind rigid keyword control.
This does not mean giving Google unlimited freedom without guardrails. It means accepting that search intent is now interpreted through context, conversation, and content, not just exact phrasing.
2. Make sure your campaigns are actually eligible for AI-driven placements
Google says advertisers already using Performance Max, Shopping, and Search campaigns with broad match, including AI Max for Search campaigns, can be eligible to appear in AI Overviews and AI Mode. For AI Overviews specifically, existing Search, Shopping, and Performance Max campaigns can become eligible when they win the auction and match both the user query and the AI-generated context.
If you are still relying on legacy setups without broad match, without feed quality, and without enough creative and landing-page depth, you are reducing your chances of showing up where Google is clearly pushing attention.
3. Test AI Max for Search campaigns sooner, not later
AI Max is not a separate campaign type. It is an optimization layer for existing Search campaigns that uses search term matching, asset optimization, and final URL expansion to help advertisers reach more relevant searches, tailor ad copy, and direct users to the most relevant page. Google says advertisers that activate AI Max typically see 14% more conversions or conversion value at a similar CPA or ROAS, and campaigns heavily reliant on exact and phrase match have seen a higher typical uplift of 27%.
Even if you do not adopt every automation Google offers, AI Max is worth serious testing because it is built for the kind of intent expansion AI search creates.
4. Upgrade your landing pages for intent depth, not just conversion pressure
Google’s AI systems learn from your keywords, creatives, and URLs. AI Max and similar systems use your website content to tailor messages and expand matching. That means weak landing pages are no longer just a conversion problem. They are also a relevance problem. Thin pages, vague product detail, weak proof points, and poor category structure can limit how well Google understands what you offer.
The strongest pages now do three jobs at once: they answer the user’s problem, clearly signal commercial relevance, and make it easy for Google’s systems to connect that page to emerging search journeys.
5. Improve feeds, assets, and offer strategy
Google’s latest AI Mode commercial experiments are especially strong around shopping and comparison behavior. It says AI Mode already surfaces organic shopping recommendations and is testing sponsored retailer formats plus Direct Offers to help close the sale.
That means product feeds, pricing accuracy, offer clarity, bundles, loyalty value, and merchant data are becoming more important inside AI-assisted discovery.
Performance marketers should not think only in terms of bids and keywords anymore. They need to think about how the brand appears when Google is helping a user compare options, narrow choices, and decide what to buy next.
6. Measure search with a wider lens
AI search is pushing users into more exploratory paths, and not every valuable impression will look like the old last-click paid search win. Some users will first encounter your brand inside AI experiences, then come back later through branded search, direct traffic, or another channel. That makes blended measurement, assisted conversions, and stronger landing-page analytics more important than they were before. This is an inference from how
Google describes AI search as discovery-plus-decision behavior, not just direct query matching.
In plain terms, if you judge every AI-era test by the narrowest last-click lens, you may shut off the very campaigns that are helping you stay visible.
7. Build for paid and organic AI visibility together
Google AI Mode is not only an ad opportunity. It is also a visibility challenge for brands that depend on organic clicks. Google has framed AI search as a system that answers, summarizes, and guides the user with prominent links and follow-up conversation.
That means your content, category pages, comparison pages, and problem-solving assets still matter, because they influence whether your brand is part of the answer set in the first place.
The winning teams will align PPC, SEO, feeds, and landing-page strategy instead of treating them as separate channels.
What not to do
Do not assume AI Mode is still too early to matter. Google has already been testing ads in AI Mode, expanding AI search experiences, and building new formats around shopping and service discovery.
Do not assume exact-match-heavy accounts will protect performance forever. Google’s own documentation points marketers toward broader, AI-powered matching approaches for these newer surfaces.
And do not assume every vertical is handled the same way. Google says ads in AI Overviews are not shown for sensitive verticals such as adult, alcohol, gambling, finance, healthcare, politics, and more. That means some advertisers need a more nuanced plan around eligibility, compliance, and where visibility can realistically be won.
The bottom line
Google is moving search from keyword retrieval toward AI-assisted decision-making. Ads inside AI Mode are part of that shift, even if the rollout is still selective and still evolving. The marketers who adapt first will not be the ones who simply increase budget. They will be the ones who rebuild campaign structure, creative coverage, landing pages, feeds, and measurement for the new search journey.
If your brand is still running on an old paid-search playbook, the risk is simple: Google will keep creating new moments of visibility, and your competitors will be the ones showing up in them.
Want help adapting your paid search strategy for AI-first discovery? Book a consultation call with Y77.ai. We’ll audit your current visibility, identify where you’re missing AI-driven opportunities, and build a plan to help you stay discoverable before that lost visibility turns into lost pipeline.