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Google puts ads at the heart of AI Search, what changes for SMBs

Google is integrating ads into AI-generated responses in Search. For SMBs, the impact goes beyond cost per click, it affects digital discovery.

Published onJune 07, 20265 min readFabian Martinelli
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Google puts ads at the heart of AI Search, what changes for SMBs

When Google announces it will insert paid advertising inside AI-generated responses in Search, we are not facing a layout update. We are facing a reconfiguration of the implicit contract that exists between brands, consumers, and the largest intermediary of commercial intent on the planet. For any company that depends on organic or paid traffic to grow, and in Brazil that includes the overwhelming majority of SMBs, the moment requires strategic attention, not just technical curiosity.

What exactly is Google doing

Since the launch of AI Overviews (formerly called Search Generative Experience, or SGE) in the US market in 2024, Google has been testing how to monetize the synthetic answers that appear at the top of the results page before any blue link. The structural change now is this, sponsored ads are being shown inside or immediately below those AI-generated answers, not just in the traditional page margins.

In practice, this means a user who types "what is the best ERP for small businesses" may receive a consolidated answer from Google's language model, and embedded in that answer or just below it see an ad for a specific software, with a direct link. The format is still evolving, but the principle is already established, ad inventory is migrating to the response space, not just to the listing space.

Why this matters more than it seems

For two decades, SEO operated under a reasonably stable logic, produce relevant content, earn domain authority, appear in organic results and convert visitors. Google Display and Google Ads coexisted with that system without destroying it, ads occupied clearly marked spaces, and organic results still had independent value.

AI Overview changes that equation. When the model synthesizes a complete answer at the top of the page, the user's need can be satisfied without a single click to any company website. Search behavior studies in the US already indicate 15% to 25% drops in click-through rates on organic results for informational queries when AI Overview is active. For e-commerce sites and lead generation businesses that rely on organic traffic, this is a real channel compression, not a hypothetical threat.

And now, with ads inside that space, the auction dynamics change as well. Fewer available organic clicks means greater pressure on paid inventory. In competitive markets, CPM and CPC tend to rise when the supply of available attention shrinks and demand for premium placement increases.

What changes in practice for advertisers and for SEO practitioners

For advertisers

The first move is to understand which types of queries are being captured by AI Overview in your category. Informational intent queries, such as "how it works", "what is the difference between", "what is better for", are the first to be answered by the model. Transactional queries, such as "buy", "hire", "price of", still tend to generate lists of clickable links. But that boundary is moving.

For SMBs with limited budgets, the practical recommendation is to concentrate investment on campaigns with clear transactional intent and high conversion, while the landscape for informational queries stabilizes. Test new formats offered by Google, such as Performance Max with well-calibrated audience signals, in the context of AI Search, and make that testing a priority, but it requires weekly monitoring of metrics, not monthly.

For those who rely on organic SEO

The answer is not to abandon SEO. It is to evolve the type of content produced. Content that Google’s AI model cites as a source within AI Overview, the so-called "grounding content", tends to be highly specific, with verifiable data, identifiable authorship and clear structure. It is not the generic 500-word blog post written to rank for search volume.

What works better now: proprietary content with original data, specific case studies, comparative analyses with citable sources, and formats that answer complex questions in a structured way. In Brazil, where the production of high-quality technical and sectoral content is still scarce, there is a real window for brands that invest in this before the market consolidates.

The Brazilian scenario has specificities

In Brazil, AI Overview is still in a limited expansion phase, but Google’s history shows the gap between launch in the US and local adoption has consistently shrunk. Companies that wait for the impact to arrive before acting will have less adaptation time and higher transition costs.

Furthermore, the Brazilian paid search market is highly concentrated in sectors such as education, healthcare, finance and retail, all especially vulnerable to the organic compression generated by AI answers. A medical clinic that today receives 40% of its blog traffic via SEO should already be modeling what happens to its funnel if that source falls by half in the next 18 months.

What I recommend now

There is no single answer, but there is a logical sequence. First, perform an honest diagnosis of how much of your current traffic comes from informational versus transactional queries. Second, revise your content strategy to prioritize depth and specificity over volume. Third, test your paid positioning within Google Ads’ new formats with caution and data, not guesswork.

Google is not destroying digital marketing. It is charging a new toll on a road it has always controlled. The difference now is that the toll is in the middle of the lane, not at the entrance. Those who understand this earlier will pay less, and reach farther.