Google Ads, AI Overviews, AI Mode & AI Max: What Changes
Google Ads, SEO, AEO & GEO
Google Ads: what changes with AI Overviews, AI Mode, and AI Max?
People no longer search using two or three words. They ask long, spoken, visual, and voice-based questions.
And Google is adapting.
As of June 2025, 69% of Google searches contain three or more words. This is not just a statistical curiosity: it is a sign that the search bar is becoming something closer to a conversation than a data retrieval engine.
This is why Google is evolving toward a more semantic search experience that is closer to natural language. In this scenario, SEO and advertising do not exclude each other: they are moving closer together. Understanding AI Overviews, AI Mode, and AI Max means understanding how to capture new demand before competitors do.
From pure keywords to context-rich questions
For years, the logic was simple: a few keywords, concise intent, and a page optimized for the exact match. Then users changed the way they search. People no longer type “memory foam mattress“, but “what is the best mattress for someone with lower back pain who sweats at night“. Not “running shoes“, but “lightweight running shoes for someone who runs 10 km three times a week and has a neutral gait“.
“The rise of generative engines has rapidly brought into the search experience
the same way we now write commands or requests to an AI assistant.
Google’s search bar is also increasingly becoming a space for dialogue.”
A concrete consequence: Google no longer reads simple words, but interprets real needs. And it now does so on every front: text, voice, images through Lens, and video.
For brands focused on awareness, e-commerce promotion, or lead generation, the rules of the game have changed: the focus has definitively shifted from the classic “keyword list” to true semantic relevance.
Today, the winners are those who can guide the algorithm by clearly explaining what they sell, which audience they address, and which specific needs they are able to satisfy.
The new Google Search: more conversational, more multimodal, more intent-driven
The changes do not concern only the way people write a query.
They affect the entire search experience.
A user can start with a text-based question, continue with an image, go deeper with a follow-up, or come from a voice search. This makes Search less and less a static list of links and increasingly an environment that interprets context, need, and next action.
This is where two key concepts come into play. The first is AI Overviews: responses generated by Google that summarize information from the web and appear when the system believes generative AI can be useful.
The second is AI Mode, which represents an even deeper, multimodal, and conversational search experience, designed for complex questions and longer exploratory journeys. Google has confirmed that ads can appear above, below, or within AI Overviews in several markets, while ads in AI Mode are currently being tested in the United States.
This shift is strategic because it allows Google to connect a complex request to a product or service even when commercial intent is not expressed directly. A user searching for “why is the pool green and how do I clean it” is not typing a product-page keyword, but the system can still infer a commercial need and show relevant ads.
That is exactly the point: modern search rewards those who own the intent, not just the wording.
AI Overviews and sponsored ads: where SEO ends and Ads begin
AI Overviews are changing the traditional boundary between organic and paid visibility. On the one hand, the overview is a free organic response: we can consider it an evolution of SEO, because it still rewards content that is clear, authoritative, well-structured, and semantically understandable. On the other hand, Google Ads can show ads above, below, and in some cases within these responses, provided the ad is aligned with both the query and the content of the overview.
This leads to an important conclusion: it is no longer about choosing between SEO and advertising, but about designing both for the new search experience. SEO must work on content that answers complex questions, while Google Ads must be able to capture long queries with high semantic nuance. In practical terms, these two disciplines are converging and interacting far more than in the past.
For those working in AEO and GEO, the message is even clearer: it is not enough to be present for a short query, you need to be relevant for an entire need cluster. This relevance is built through strong pages, consistent language, clear entities, reliable conversion data, and an ad strategy capable of expanding beyond traditional match types.
Do you need AI Max to appear in AI Overviews?
No, it is not mandatory. Google states that existing Search, Shopping, Performance Max, and App ads may be eligible to appear above or below AI Overviews in markets where these are available. In addition, for ads shown within the overview, Google considers existing Search, Shopping, and Performance Max campaigns.
However, stopping at this technical reassurance would be reductive. From an operational standpoint, AI Max becomes very interesting because most queries that trigger AI Overviews or advanced search experiences tend to be longer, more articulated, and harder to cover with exact match or phrase match keywords. Google explicitly indicates that, for these kinds of contexts, AI-based targeting solutions are needed, such as broad match or the keywordless technology available in AI Max for Search campaigns.
So the real answer is this: AI Max is not a technical requirement to appear, but it is often a strategic advantage for covering the new semantic demand that AI Overviews make more frequent and more visible.
How AI Max works: the three pillars reshaping Search
AI Max for Search campaigns is a suite of features working across three fronts: search term matching, text customization, and final URL expansion. Google describes it as an evolution of Search campaigns that brings the best of AI into the search network while offering a higher level of control than broader solutions such as Performance Max.
1. Search Term Matching
The first pillar is the coverage expansion engine. AI Max uses Google Ads signals to interpret user intent and identify relevant searches even when there is no literal match with the entered keyword.
Google explains that this feature expands coverage using broad match and keywordless technology, with Smart Bidding acting as the economic filter to enter the most relevant auctions.
For those who know how to structure an account rigorously, this innovation unlocks a surgical level of control, offering a key strategic lever directly at the ad group level. Search Term Matching settings can in fact be adjusted at ad group level, allowing expansion where it truly matters and limiting it where tighter control is required.
2. Text Customization
The second pillar is text personalization. Google has transformed the historical “automatically created assets” into text customization, integrating the ability to generate additional headlines and descriptions based on landing pages, existing ads, and campaign signals. The goal is simple: adapt the message to the user’s real query in real time, increasing perceived relevance and the likelihood of conversion.
Here the logic resembles a guided prompt: you do not provide every possible variation, but you give the system material, tone, and boundaries so it can produce assets that are consistent with the brand.
3. Final URL Expansion
The third pillar concerns destination. With Final URL Expansion, Google can replace the entered final URL with a landing page considered more relevant to the user’s query, while simultaneously generating text consistent with that page. It is a powerful feature because it reduces the distance between intent and landing page, but it requires attention: tracking templates, asset pinning, and site structure must be handled properly. Google recommends checking tracking template compatibility and notes that pinned assets may not be respected when a more relevant URL comes into play.
Is AI Max a black box?
AI Max does not mean handing control over to the algorithm. On the contrary, Google provides tools to guide it precisely. You can use negative keywords without over-restricting the campaign, work with URL inclusions and exclusions, manage settings at both campaign and ad group level, and even transfer brand exclusions into the AI Max panel to avoid appearing for certain branded searches.
There is also a very interesting area for brand safety and tone of voice: text guidelines. Google offers two tools: the first is term exclusions, which allow you to exclude exact words or phrases from generated texts, with a maximum of 25 exclusions per campaign. The second is messaging restrictions, which help steer the message and avoid styles, concepts, or associations that are not aligned with the brand. In practice, these are the boundaries needed to keep AI aligned and focused on real business objectives.
Are AI Max, broad match, DSA, and PMax the same thing?
AI Max should not be confused with classic broad match. Generic matching expands the reach starting from keywords; AI Max adds a more semantic understanding of need, supported by the landing page, text generation, and dynamic choice of the final page. Google itself explains that Search Term Matching in AI Max uses broad match and keywordless technology together.
Compared with DSA, AI Max is more advanced because it works with a broader understanding of domain URLs and uses asset generation technology that Google defines as a “superset” of the one used in DSA and in Performance Max with Final URL expansion.
Compared with Performance Max, the difference lies mainly in scope and control. PMax accesses all Google inventory; AI Max instead remains focused on Search, with the more granular controls typical of search campaigns. When a query is eligible for both AI Max and PMax, Google states that the ad with the highest Ad Rank will enter the auction: this is not an internal competition that artificially drives up CPC, but a priority mechanism based on relevance and ranking.
When does it make sense to activate AI Max?
AI Max should not be turned on everywhere by default. It works well when tracking is robust, ideally able to distinguish the quantity and quality of conversions. When Smart Bidding is active. When the campaign has enough historical data, because without data the algorithm is flying blind. When the budget allows for some exploration. And when landing pages are well crafted: if AI Max also works keywordlessly, the page becomes part of the targeting.
In practice, AI Max makes the most sense on campaigns that are already stable, with clear goals, a good volume of conversions, and pages that clearly explain the offer, target audience, and use cases. Where the site is thin on content, tracking is weak, and the campaign is budget-constrained, AI risks amplifying confusion.
How to test it properly without fooling yourself
The cleanest path is to use Google Ads AI Max Experiments. Google provides a dedicated workflow that activates Search Term Matching and Asset Optimization in the test branch, with the option to apply the results later if they are favorable.
While maintaining traditional custom experiments, Google has introduced a specific procedure for evaluating AI Max performance.
Experiments are used to isolate its impact. You need to compare volume, quality, incremental queries, relevance of the landing pages involved, and the stability of CPA or ROAS. Google reports typical uplifts of 14% in conversions or conversion value at a similar CPA/ROAS, which can rise to 27% for campaigns still heavily based on exact and phrase match. These are valuable benchmarks, but they are not an absolute guarantee: they should be interpreted as an order of magnitude useful for estimating real potential.
Conclusion: the new Search should be read as an ecosystem, not as a list of keywords
The direction is clear. Google is moving away from the logic of rigid strings and getting closer to something that interprets natural language, images, follow-ups, and context. AI Overviews make informational moments more visible. AI Mode pushes even further. AI Max, within Google Ads, is the operational answer: it does not replace strategic work, but it helps cover new demand more effectively.
Marketers today must stop thinking only in terms of keywords and start reasoning in terms of need, semantics, landing pages, data, and message. SEO, AEO, GEO and advertising are no longer separate disciplines. Today they converge toward one true goal: being the perfect answer, at the decisive moment, and in the ideal format.
Frequently asked questions about AI Max and AI Overviews
Is AI Max mandatory to appear in AI Overviews?
No. Existing Search, Shopping, and Performance Max ads may be eligible to appear above, below, or, in some cases, within AI Overviews. AI Max, however, helps capture long, complex, and semantic queries more effectively.
Does AI Max replace Performance Max?
No. Performance Max works across all Google channels, while AI Max is focused on the search network and offers the kind of tighter operational control typical of Search campaigns.
Does the landing page still matter?
It matters more than before. With keywordless logic and Final URL expansion, the landing page becomes a primary source of understanding for the algorithm and influences both matching and message relevance.
Can I control AI-generated copy?
Yes. With term exclusions and messaging restrictions, you can limit words, concepts, and associations that you do not want to appear in automatically generated copy.
How does AI Max work in Google Ads campaigns?
AI Max uses Google’s artificial intelligence to expand search coverage and capture queries with intent similar to the campaign’s target queries. The system analyzes signals such as the user’s query, landing page content, and historical data to show more relevant ads and generate new opportunities for traffic and conversions.
What is the difference between AI Max and Performance Max?
Performance Max is a campaign type that uses all Google channels (Search, Display, YouTube, Discover, and Shopping). AI Max, instead, is a feature applied to Search campaigns that uses artificial intelligence to expand query matching, generate ad variations, and improve the relevance of the landing page.
Does AI Max replace keywords in Search campaigns?
No. Keywords are still used as starting signals. However, AI Max can capture additional queries based on the user’s semantic intent, even when the match with the keywords is not direct.
When is it worth activating AI Max in a Google Ads campaign?
AI Max works best on campaigns that already have historical data and conversions. In these cases, the algorithm can use the available information to identify new relevant searches and expand coverage while maintaining the performance objective.
Does AI Max really increase conversions?
AI Max can increase conversion volume by capturing longer and more complex queries that traditional keywords would normally not cover. However, the quality of the results depends heavily on conversion tracking and the quality of landing pages.
How do Google Ads strategies change with AI Max?
Strategies become less based on isolated keywords and more focused on user intent. Optimization shifts toward data quality, conversion tracking, landing page structure, and the management of creative assets.
What technical requirements are needed to use AI Max?
To achieve effective results, you need reliable conversion tracking, Smart Bidding strategies, and well-structured landing pages that allow the algorithm to clearly understand the site’s content and offer.
Does AI Max work better with Smart Bidding?
Yes. Automated bidding strategies such as Target CPA or Target ROAS allow the algorithm to adapt bids in real time for each individual auction, improving the effectiveness of query expansion.
What mistakes should be avoided when activating AI Max?
The most common mistakes are activating it on campaigns without enough data, over-limiting the campaign with negative keywords, or lacking accurate conversion tracking that allows the algorithm to learn properly.
How can AI Max be tested without compromising existing campaigns?
The best method is to use Google Ads experiments to compare campaign performance with and without AI Max. This makes it possible to measure precisely the impact of the feature on traffic and conversions.
Bibliography and sources
About ads in AI-powered experiences on Search
Official Google documentation on how ads work
in AI Overviews and AI-powered search experiences.
About AI Max for Search campaigns
Official overview of AI Max for Search campaigns, with a focus on
functionality, coverage, and optimization logic.
About search term matching in AI Max
Insight into search term matching logic and the role
of semantic intent in AI Max campaigns.
About controls in AI Max for Search campaigns
Official guidance on the controls available in AI Max, including
exclusions, URL management, and operational settings.
About text customization in Search campaigns
Google guide dedicated to automatic ad text customization
and dynamic asset generation.
About Final URL expansion in Search campaigns
Documentation on how Final URL expansion works and on the
logic behind directing users to the most relevant landing page.
About text guidelines in AI Max
A useful source for understanding term exclusions, messaging restrictions,
and brand safety settings in AI-generated text.
About AI Max experiments
Documentation related to testing and experiments dedicated to AI Max
in order to measure its impact on Search campaign performance.
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