The future of Google search and its impact on Google Ads

The way the world searches for information is no longer the same. For years, searching on Google meant typing in a keyword and choosing from ten blue links. That model no longer exists.

Today, Google doesn’t just rank results: it interprets intent, synthesises answers and decides what to surface first.

At Good Rebels, we understand that this structural shift, driven by Generative AI, is completely redefining the rules of the game for Paid Media strategies and Performance Marketing. For advertisers, the challenge is no longer simply bidding more effectively on keywords. It’s about understanding context, anticipating intent and staying relevant in an environment where the click is no longer guaranteed.

The transformation of search behaviours.

User behaviour on Google is undergoing a radical transformation. Queries are becoming longer and more complex, often combining multiple intentions within a single search. This new user is no longer satisfied with a list of results; they are looking for a direct, concise and well-structured answer.

This is where AI Overviews come into play. Traditional search results (SERPs) are now being complemented, and often overtaken, by AI-generated summaries. These AI Overviews integrate LLM-powered models with high-quality content sourced from websites.

But, how does this impact our SEM strategies? This shift is not anecdotal; it is a strategic imperative.

If AI Overviews can answer a user’s question directly on the results page, the click path, and therefore the conversion journey, changes dramatically. The key lies in adapting paid search strategies to capture intent within this new, evolving environment. Search stops being a simple entry point and becomes the answer itself.

The new AI-driven search paradigm.

Generative AI is rewriting the script on how questions are asked, how answers are delivered and how they are consumed.

From keywords to complex intent.

Users are no longer satisfied with one- or two-word queries. We are now asking longer questions that, in many cases, are the equivalent of ten searches rolled into one. AI, particularly through features such as AI Mode, provides advanced responses with reasoning capabilities and multimodal exploration, allowing these complex queries to be addressed in depth.

This forces advertisers to move away from keyword fragmentation and start thinking in terms of intent scenarios, rather than isolated search terms.

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Google’s AI mode is changing the way we do SEO. With their latest announcements, we need to start rethinking how we target our content away from keyword and more towards brand value. #google #seo #searchengineoptimization

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The impact on CTR and the opportunity in campaigns.

When users receive a complete answer within an AI Overview, it is natural for click-through rates (CTR) to organic results, and potentially to search ads, to decline. This highlights an unavoidable truth: campaigns must be more relevant than ever.

It is no longer enough to simply be present. Brands must appear at the right moment, with messages aligned to the user’s true intent and the context in which the search takes place.

Impact on Google Ads and the advertising ecosystem.

The advertising ecosystem is already adapting. In some markets, such as the United States, we are beginning to see the first examples of ads appearing directly within AI Overviews. This is no coincidence, and it is only a matter of time before it reaches Europe. What we are seeing is Google’s AI identifying purchase-intent signals and monetising the exact moment of need.

Google Ads’ response: automation and AI Max.

To adapt to this new context, Google Ads has introduced new capabilities that leverage the power of artificial intelligence: AI Max for Search campaigns is the solution Google has recently launched to help advertisers evolve their paid search strategies and adapt to this new landscape. The core pillars of AI Max are:

• Search Term Matching: Combines the power of Broad Match with keywordless targeting, relying primarily on the landing page and ad assets to understand and match user intent.
• Final URL Expansion: Ensures users land on the page that best answers their complex query, directly connecting user intent with the advertiser’s website content.
• Text Customisation: Uses AI to generate automatically created assets, ensuring ad headlines and descriptions are relevant and aligned with the user’s semantic query.

How should advertisers adapt their strategies in the era of AI-assisted search?

The recommendation is clear: embrace automation, not as a shortcut, but as a genuine performance engine, while managing risk and setting clear boundaries for AI. This is about defining limits, understanding the risks and, above all, overcoming the fear of AI. It is not about “letting AI do its thing”, but about clearly defining the framework in which it operates. Losing the fear of AI does not mean losing control.

Here are some tactics to optimise campaigns and creative assets:

• Strengthen audience signals and first-party data: Google Ads automation is only as effective as the data it receives. We must feed AI with high-value audiences (Customer Match, website visitors, CRM data) to steer machine learning towards the most profitable segments.
• Asset optimisation: In an environment shaped by AI Overviews, the quality and relevance of each asset (headlines, descriptions, images, videos) becomes a key differentiator. Generative AI can accelerate the creation of multiple variations, allowing the algorithm to iterate and learn faster. That said, AI should not lead the strategy; it should act as an assistant, ensuring the final message remains aligned with brand values.
• Campaign structure adjustments: We move away from keyword obsession towards an intent-first mindset. Campaigns should be built around strategic objectives, and from there, the most appropriate structure and bidding strategy should be defined for each case.

Data-driven decision-making in an automated ecosystem.

In a landscape where smart bidding, broad match and keywordless campaigns gain prominence, analysis must become more sophisticated:

• Ongoing search term reviews: Despite advances in automation, regularly reviewing search term reports remains essential to identify irrelevant queries and apply exclusions proactively. This effectively “trains” AI to refine its bidding and matching logic.
• Asset performance analysis: In the age of automation, success depends heavily on asset performance. We must analyse which combinations of headlines, descriptions and images deliver the strongest results, ensuring AI is consistently working with high-quality inputs for increasingly complex queries.

Embracing AI as a strategic ally.

The evolution of Google Search towards an AI-assisted environment is not a threat, it is a huge business opportunity. An opportunity for those who understand how to play this new game. AI gives us the ability to predict and anticipate commercial intent with a level of precision never seen before, but it only creates value when it is fuelled by strong data, compelling messaging and a clear strategy.

To succeed in this new era, the mandate is clear: overcome the fear and adopt AI-driven campaigns. This means leveraging AI Max for Search, maximising Performance Max results, and feeding these systems with first-party data and high-quality creative assets. The role of the Paid Media professional continues to evolve, from a manager of bids and keywords to an architect of machine learning.

Our expertise now lies in strategic vision: in the ability to provide the right inputs to algorithms, and in the skill to analyse automated outputs to uncover incremental value, something only human experience can truly identify.

The future of paid advertising is conversational, complex and, without question, exponentially more profitable for those willing to lead the integration of AI.

The real question is: is your Paid Media strategy ready for the era of AI Max and AI Overviews?