Google AI Overviews: Why Being First Is No Longer Enough in 2026

For years, the rule of organic search was simple.

A business aimed to reach Google’s first page. Then it targeted the top 3. The first position was the ideal outcome. The higher a page ranked, the more visibility and clicks it received.

This logic still holds. But it is no longer enough.

Since July 22, 2026, Google AI Overviews have been officially available in France. Google can now display an AI-generated answer before traditional organic results. This answer summarizes multiple sources and may satisfy the user’s query without them visiting a single site.

A page can thus remain first on Google and still lose a portion of its traffic.

It is still well-ranked. Its content remains relevant. No competitor has overtaken it. Yet, Google’s generated block takes up significant screen space and directly answers the question.

The shift is profound.

The challenge is no longer just to rank well. You must also be understood by Google’s systems, selected as a source, cited in the answer, and recognized as a subject-matter authority.

Google AI SEO thus adds a new layer to traditional search optimization. This layer is often referred to as GEO, or Generative Engine Optimization.

How AI Overviews Change a Google Search

An AI Overview is a response generated by Google’s artificial intelligence models.

When Google determines that this response provides additional value, it may display a summary at the top of the page. This summary includes explanations, advice, or comparisons, and is accompanied by links to certain sources.

The user no longer sees just a list of results. They already receive an answer.

Consider a search like:

“Which invoicing software should a small business with five employees choose?”

In a traditional results page, the user must open multiple articles. They compare features, prices, and reviews, then return to Google to consult another result.

With an AI Overview, Google can directly present the criteria to check. It can compare different types of solutions and explain key considerations. The user gets an initial summary without leaving the page.

Google states that AI Overviews appear when its systems determine that a generated response provides greater value than traditional results. The company also notes that the links in these responses should allow users to explore the topic further.

The issue for businesses is clear.

The AI Overview captures attention before the organic results. Even when a page remains first, the user may feel they already have enough information.

They no longer click.

The drop in clicks is no longer just a hypothesis

Multiple studies observe a significant behavioral shift when Google displays an AI-generated response.

The Pew Research Center analyzed 68,879 Google searches conducted in the United States in March 2025. When an AI summary appeared, users clicked on a traditional result in 8% of visits. Without an AI summary, this rate reached 15%.

Links placed within the summary received very few clicks. According to this study, a link in the AI Overview was opened in only 1% of the relevant visits. Users also ended their sessions more often after reading the generated answer.

A 2026 field experiment yielded a similar trend. When AI Overviews appeared, outgoing organic clicks dropped by approximately 39.8%. The share of zero-click searches increased by 34.5%. Researchers observed no equivalent improvement in user-reported satisfaction.

Ahrefs examined the impact on already ranked pages. Based on data from December 2025, the presence of an AI Overview reduced the click-through rate of the top-ranked result by about 58%. The estimated impact then decreased with ranking, though it remained negative up to the tenth position.

Another study used the gradual rollout of AI Overviews to measure their impact on Wikipedia. Researchers estimate that exposure to AI answers reduced daily traffic to the analyzed English-language pages by about 15%. The effect varied by topic. Content that was easy to summarize appeared more affected than subjects requiring detailed exploration.

These figures should not be applied uniformly to every SME.

The outcome depends on the industry, the query, the type of content, and the Google page layout. An urgent local search does not produce the same behavior as a general question. A request for a quote is not the same as a definition search.

The methods used in the studies also differ.

Yet their overall direction is consistent: when Google provides a direct answer, the likelihood of a click decreases.

For a business leader, this means a drop in traffic does not necessarily indicate a drop in ranking.

A page may retain its positions while receiving fewer visits.

Why the top position no longer guarantees being cited

The most important point lies here.

The sources chosen by Google’s AI Overviews are not always the pages ranked at the top for the user’s query.

Google explains that its AI features rely on its search index and ranking systems. Traditional SEO thus remains an essential foundation. A page must be indexed and allowed to appear with a snippet to be used as a link in Google’s generative features.

But Google does not necessarily limit itself to the ten visible results for the initial search.

The engine uses a method called “query fan-out.” The model breaks down the request into multiple sub-questions. It then runs several related searches on the topic to build its response.

A query such as:

"How to choose a CRM suited to an industrial SME?"

can trigger internal searches on:

• the number of users;
• integration with an ERP;
• commercial tracking;
• quote management;
• deployment cost;
• data security;
• team training.

Google can then select a highly specific source on CRM and ERP integration, even if that source does not appear in the top 10 for the main query.

An Ahrefs study published in March 2026 analyzed 863,000 result pages and approximately four million cited URLs. Only 37.9% of the URLs featured in AI Overviews appeared in the top 10 positions for the corresponding initial query.

Around 31% were ranked between positions 11 and 100. An almost identical share did not even appear in the top 100 results observed for that query.

An academic study conducted on 55,393 searches in 2026 also found that nearly 30% of the domains cited in AI Overviews did not appear in the first-page results displayed alongside them. The authors conclude that the source selection mechanism does not fully align with the visible organic ranking.

There are therefore two related but distinct competitions.

The first is to rank well in organic results.

The second is to become a useful source for the generated answer.

A page can win the first competition and lose the second.

AI Overview SEO does not replace traditional SEO

Faced with this shift, some companies might be tempted to abandon traditional SEO in favor of GEO.

This would be a misreading of the situation.

Google clearly states that its generative features rely on its search systems and index. SEO fundamentals thus remain essential: crawling, indexing, content quality, internal linking, technical performance, and readability.

Without a solid SEO foundation, AI Overview ranking becomes very difficult.

A poorly indexed page will not be a strong candidate. Content buried in a complex interface will be less accessible. A slow or hard-to-read page will struggle to deliver value, even if its text contains the right keywords.

GEO does not replace SEO.

It expands it.

Traditional SEO primarily aims to make a page visible and competitive in search results.

GEO also seeks to make information easy to select, verify, and integrate into a generated response.

This evolution can be summarized in four steps:

1. Be accessible to Google.
2. Be relevant to the topic.
3. Be selected as a source.
4. Be distinctive enough for the brand to be recognized.

The first two steps are part of the core SEO foundation. The next two carry more weight with Google AI SEO.

Traffic is no longer the sole visibility indicator

For a long time, SEO teams tracked a few simple metrics:

• average position;
• number of impressions;
• click-through rate;
• organic traffic;
• conversions from Google.

This data remains useful. But it no longer fully captures Google AI visibility.

Imagine a page stays in second position for a strategic query. Its impression count remains stable. Yet its clicks drop by 25%.

A traditional analysis might suggest several hypotheses: a less compelling title, a new competitor, a weaker season, or a shift in user intent.

The emergence of an AI Overview adds another explanation.

Google now answers before the page.

Conversely, a site may be cited in a generated response without receiving many clicks. It gains brand presence, but this presence doesn’t immediately appear in Google Analytics.

Executives must therefore distinguish between three forms of visibility.

Ranking visibility

The site appears in organic results and holds a measurable position.

Citation visibility

A page from the site is used as a source in an AI Overview.

Brand visibility

The company’s name, product, method, or expertise becomes identifiable in the response or the suggested sources.

The third form is the hardest to measure. Yet it is important.

When AI answers directly, users may remember a brand before even visiting its site. They may also search for it later, find it on LinkedIn, or discuss it with a colleague.

The absence of immediate clicks does not always mean the absence of value. But a mere appearance among several links does not guarantee real memorability either.

The goal is to become an identifiable source, not just a discreet URL.

What Google truly expects from content in 2026

Google’s official stance remains quite measured.

To appear in generative features, there is no secret tag or mandatory format. Google recommends continuing with solid SEO practices and producing content that is useful, reliable, and designed for people.

The company particularly emphasizes content that is hard to replace.

A page that repeats the same advice as twenty competitors offers little unique value. It may be well-structured, well-optimized, and correct. Yet Google already has countless sources saying the same thing.

Content becomes more distinctive when it includes:

• real-world experience;
• a precise methodology;
• company-specific data;
• a comparison based on testing;
• a detailed client case study;
• a clearly attributed expert opinion;
• recent, verifiable information.

Google refers to this as “non-commodity” content—content that cannot be replaced by a generic summary. Its documentation advises offering an original perspective and avoiding the recycling of existing web content.

For SMEs, this is good news.

A small business may not be able to publish as much as a large corporation. However, it can produce more precise, concrete, and field-specific information.

An accounting firm can explain the real obstacles encountered during a software transition.

An industrial company can publish a calculation method derived from its projects.

An agency can document the choices made during a real assignment.

A craftsman can highlight the signs that help identify a problem before intervention.

This type of content fuels both traditional SEO and AI Overview ranking.

How to adapt a content strategy for Google AI SEO

A serious GEO strategy does not start with writing dozens of new articles.

It starts with an analysis of the topics on which the company needs to be recognized.

Start with the decisions made by the client

A Google search isn’t always just a request for information. It may conceal a decision.

The user might be looking to choose a provider, compare two solutions, set a budget, or mitigate a risk.

An effective content strategy must therefore address the entire decision-making process.

Take an SME selling field service management software.

The keyword “field service technician software” may seem central. But the AI Overview can explore multiple aspects:

• scheduling;
• tracking movements;
• signing work orders;
• billing;
• offline mode;
• inventory management;
• price per user;
• data migration.

A general page won’t always cover these subtopics with sufficient depth.

SEO and GEO work involves building a coherent structure. A main page addresses the overall topic. Supplementary content provides more precise answers. Case studies demonstrate real-world use.

This structure broadens topic coverage without creating artificial pages for every keyword variation.

Producing information Google can’t find everywhere

A generic article on “the benefits of a CRM” will be easy to summarise. It will also be easy to replace.

An analysis of three CRM deployments in SMEs with fewer than fifty employees offers greater value.

The content can include:

• average project duration;
• the most time-consuming tasks;
• framing errors observed;
• features rarely used after six months;
• the criteria that truly influenced adoption.

These elements enhance the content’s usefulness. They also provide Google with precise facts that can support an answer.

This is not about inventing figures to appear expert.

Data must be accurate, explained, and placed in context. A sample of five clients can be useful if its size is clearly stated.

Make answers easy to identify

Google clarifies that there is no need to split every text into tiny fragments for AI systems. There is also no imposed ideal length. The priority remains clarity for the reader.

This does not mean a page can be confusing.

A key question must receive a visible answer. Headings should reflect the actual content of the section. Technical terms must be explained. Comparisons must be based on stable criteria.

A good page can start a section with a direct answer, then provide details and nuances.

This structure helps the pressed reader. It also makes it easier to identify the relevant passage.

Strengthen proof around the author and the company

Information inspires more trust when it is clear who is publishing it.

The page should therefore specify the author, their role, and their experience. Cited studies must be accessible. Update dates must be consistent. Examples must be attributed to a source or presented as anonymised cases.

Proof is not limited to the page.

A brand recognised across multiple channels has a richer context. It may be mentioned in industry media, a professional association, an interview, a podcast, or a video.

Google states that its AI features can use content from pages, videos, forums, and other web spaces. However, it advises against seeking false mentions or artificially manipulating this presence.

The right goal is not to multiply valueless citations.

The aim is to build a consistent reputation.

Use multiple formats when the topic justifies it

AI Overview ranking does not rely solely on blog articles.

Google can also display images, videos, information about local businesses, and product data. Its documentation recommends continuing to use Google Business Profile and Merchant Center when these tools align with the business.

Ahrefs also observed a strong presence of YouTube in the sources used by AI Overviews. In its March 2026 study, YouTube accounted for 18.2% of citations that did not appear in the top 100 results of the direct query.

An SME does not need to become a video media outlet.

But it can transform strategic content into multiple resources:

• a comprehensive article;
• a video demonstration;
• an FAQ;
• a client case study;
• a service page;
• a diagram or comparison table.

Each format addresses a different need. Together, they strengthen understanding of the topic and Google AI visibility.

The central role of the brand in GEO

Traditional SEO has sometimes led companies to publish very neutral content.

The brand name was discreet. The article primarily aimed to match the keyword. The reasoning was simple: secure the click, then introduce the company.

AI Overviews make this approach more fragile.

When Google absorbs part of the answer, the click can no longer be taken for granted. The brand must therefore be present in the value delivered.

This does not mean repeating its name in every paragraph.

Instead, the brand should be associated with something specific:

• a methodology;
• a study;
• a tool;
• an analytical framework;
• sector-specific expertise;
• regularly updated data.

A recruitment agency can publish a local salary barometer.

A consulting firm can create an evaluation grid.

A construction company can document a diagnostic method.

An IT company can publish an annual index of digital maturity for SMEs.

This type of editorial asset can be cited, reused, and remembered. It gives the company an identity in generated responses.

GEO is therefore not just about optimising pages.

It also involves making expertise attributable.

Measuring AI Overview SEO without misjudging KPIs

An AI-driven Google SEO strategy must be tracked with multiple indicator families.

In June 2026, Google announced new Search Console reports dedicated to generative features. These reports provide access to impressions, visible pages, countries, devices, and trends over time. Their rollout was initially limited to a subset of sites.

When available, these reports provide a useful foundation. They do not replace manual analysis.

A business must also monitor the responses generated for its priority queries.

Check the following:

• whether an AI Overview appears;
• which sources are selected;
• which angle is used;
• whether the brand is cited;
• which competitors are visible;
• what information seems to be missing from the site.

This monitoring should cover query clusters, not just exact keywords.

Query fan-out requires thinking in topics and sub-questions.

The GEO shortcuts that waste time

As often happens with major changes, many quick fixes emerge.

Some claim to make a site visible in AI Overviews through a specific file, a special tag, or a repeated structure across all pages.

Google has stated, however, that it does not use the llms.txt file to improve a site’s presence in its generative features. The company also clarifies that no special structured data is required to appear in an AI Overview.

Structured data remains useful for Google’s classic features. It must match the visible content. But it is not a GEO shortcut.

Google also advises against creating a large number of pages to artificially cover every variation of a question. This approach can produce low-quality content and fall under its rules against large-scale page generation.

AI Overview SEO is therefore not won by adding another layer of keywords to generic texts.

It requires a deeper understanding of the customer, genuine expertise, and a coherent editorial architecture.

A realistic action plan for an SME

An SME does not need to overhaul its entire site in a few weeks.

It can start with the topics that directly influence the understanding of its offering.

Step one: identify exposed queries

You need to analyse the keywords that already drive traffic and check which ones trigger an AI Overview.

Long-tail queries, phrased as questions or comparisons, are often strong candidates. The Pew Research Center study notably found that long searches and full sentences triggered AI summaries more frequently in its March 2025 sample.

The goal is to identify pages that may retain their rankings while losing clicks.

Step two: compare the selected sources

For each key topic, you need to observe the sites cited by Google.

The comparison should not be limited to traditional rankings.

A selected source may have a more recent page, more precise data, a clear video, or better coverage of a sub-topic.

This analysis often reveals editorial competitors that are invisible in standard SEO tracking.

Step three: strengthen priority content

You then need to enrich pages that already have a solid foundation.

The work can focus on:

• the accuracy of the answers;
• original data;
• examples;
• the author’s expertise;
• sources;
• complementary formats;
• links to other pages on the site.

The update must provide genuine value. Changing a date or adding a few generic lines is not enough.

Step four: build external proof

Google AI visibility also depends on what the web says about the company.

Partnerships, appearances in specialist media, detailed testimonials, and expert contributions can strengthen this presence.

The goal remains consistency.

An SME should be associated with a few precise topics, rather than trying to appear everywhere.

Step five: track traffic and brand presence

A drop in clicks should be compared with changes in rankings, impressions, and presence in AI-generated answers.

You should also track searches that include the brand name.

An increase in branded searches may indicate that some users discover the company before returning later. This interpretation should remain cautious, as multiple marketing actions can produce the same effect.

2026 SEO aims for presence, not just position

Google’s AI Overviews do not make organic search obsolete.

They change what it means to be visible.

A top ranking remains a valuable asset. It increases the likelihood of being discovered and supports the site’s credibility. But it no longer guarantees the same click volume. Nor does it guarantee being selected as a source in the generated answer.

AI Overview SEO therefore requires businesses to broaden their strategy.

You must continue to optimise the site. You must also create content that is precise enough to be reused, reliable enough to be cited, and distinctive enough to be associated with a brand.

The shift from SEO to AI SEO can be summarised as follows:

Previously, companies primarily sought to secure a ranking.

Today, they must secure a ranking, a citation, and recognition.

The top spot remains useful, but it is no longer the true peak

For SME and VSE leaders, the main risk would be to focus solely on Google rankings.

A tracking dashboard can stay green while clicks decline.

The site has not necessarily lost its ranking. The engine has simply changed how it distributes attention.

The right response is not to replace the entire SEO strategy with a series of GEO techniques. It is to check where the company is visible, which sources Google retains, and which content can still create brand preference.

An SEO/GEO audit makes it possible to connect these three levels: organic ranking, presence in AI Overviews, and the brand’s editorial strength.

Agence Scroll supports companies in this analysis. The goal is to identify exposed content, topics where the brand can become a reference, and editorial actions that will have a lasting impact.