AI Overviews Google: What's changing for SEO in 2026

Google I/O 2026: The moment SEO rules changed

On May 20, 2026, during Google I/O, Mountain View made official what many industry professionals had been observing for months. The AI Overviews — AI-generated answers directly on the search results page — are now the dominant format for informational queries and increasingly for commercial ones. Therefore, the classic ten blue links optimization model has not simply evolved: it has been redesigned from the ground up.

As documented by TechCrunch in its dedicated episode, the central issue isn't just declining organic traffic. It's about the narrative invisibilityMost brands have no visibility into how Google's AI describes them to users. This is a reputational problem before it's a positioning problem.

In this context, we at SHM Studio We believe that Italian SMEs should approach the transition methodically and without alarmism. In fact, there are concrete levers to act on today.

Anatomy of AI Overviews: How the New Engine Works

AI Overviews are not simply enhanced snippets. They are summaries generated by a large language model (LLM) trained on billions of web pages. Google selects sources considered most authoritative, synthesizes them, and presents them to the user before any clickable links. Consequently, even a well-ranked site on the first page can become invisible if it's not included in the AI block.

According to the analysis of Gartner, By 2027, more than 50% of search queries will not result in any clicks on external sites. Furthermore, industry data indicates that queries with AI Overview show a decline in organic CTR ranging from 25% to 60% compared to the same queries without the AI block.

The source selection mechanism is based on three main factors: domain authority, semantic structure of the content e coherence between named entities and structured data. So, technical SEO remains relevant, but it needs to be integrated with a content strategy geared towards quotability by AI models.

Direct impact on Italian SMEs: the numbers that matter

For small and medium-sized Italian businesses—particularly in B2B manufacturing, specialized retail, and professional services—the impact is already measurable. In fact, many of these businesses have built their digital visibility on SEO strategies that have been consolidated over the last five years. Today, those strategies are producing decreasing returns.

Three concrete signals deserve attention:

• Drop in informational organic traffic“How-to,” “what is,” and “difference between” type queries are increasingly being intercepted by AI Overviews. Consequently, company blogs optimized for these keywords are experiencing traffic losses even without ranking changes.
• Absence of brand mentions in AI OverviewsMany SMEs are not appearing in AI summaries, even when they are ranked on the first page. This creates a misalignment between SERP visibility and user perception.
• Measurement difficultiesTraditional analytics tools do not distinguish traffic lost due to AI Overviews from traffic lost for other factors. Therefore, diagnosing the problem requires a more granular analysis.

According to research from Harvard Business Review, companies that fail to adapt their content strategy to new AI formats risk losing up to 40% of their organic visibility by 2028. Despite this, less than 20% of European SMEs have already begun a structured review of their SEO strategy in this direction.

What to do now: the new architecture of visibility

The answer to the disruption of AI Overviews is not to abandon SEO. On the contrary, it is evolve SEO towards a model that we SHM Studio let's define AI-ready content architecture. It is an approach that combines technical optimization, semantic authority, and data structure in a consistent manner.

Here are the immediate operational priorities:

• AI Citeability OptimizationContent should answer specific questions directly, using short, structured sentences. AI models prioritize paragraphs that contain a clear answer within the first three lines. SEO copywriting it must be rethought in this direction.
• Structured Data and Schema MarkupImplementing Schema.org markup for products, services, FAQs, and organizations increases the likelihood of being included as a source in AI Overviews. This is a priority technical intervention for any web project.
• Domain authority buildingGoogle selects sources that demonstrate thematic consistency over time. Therefore, an editorial strategy focused on a cluster of specific topics is more effective than generalized content.
• Diversification of acquisition channelsRelying solely on organic traffic is a structural risk today. Google Ads campaigns, the LinkedIn campaign and the strategies of digital marketing integrated they become essential components of a balanced visibility plan.

The Role of AI in New Content Strategies

There is a productive irony in this transition: to respond to the disruption caused by Google's AI, SMEs must integrate AI into their content production processes. However, this is not about generating texts automatically and indiscriminately. On the contrary, AI should be used to accelerate semantic research, identify real user questions, and structure content optimally.

Our services of AI consulting support Italian SMEs in this journey. In particular, we work on the integration of editorial strategy, technical optimization, and conscious use of artificial intelligence tools. Likewise, we assist marketing teams in defining KPIs updated to the new SERP reality.

As highlighted by the MIT Technology Review, the true competence required today is not to optimize for an algorithm, but to build content that an AI model considers worthy of citation. This is a subtle but decisive distinction.

What traditional SEO tools still don't measure

An often underestimated problem concerns measurement. The most popular SEO tools—from Google Search Console to Semrush—do not yet offer a clear view of presence in AI Overview blocks. Therefore, many SMEs are unable to quantify their exposure or absence in these formats.

Some useful proxy metrics include:

• Variation of average CTR for informational keywords in the last six months.
• Impression-to-click ratio for high-search-volume queries.
• Presence of the domain in the sources cited in AI Overviews (verifiable manually or with emerging tools such as AI Overview Tracker).

Additionally, it is useful to monitor branded queries: if Google's AI describes its brand inaccurately or not at all, it is necessary to intervene in the structure of institutional pages and the consistency of information published online. This is an area where the SEO consulting intertwines with digital reputation management.

Outlook for 2027: Where is research heading

The change underway is not an isolated incident. It is the beginning of a multi-year transition towards a conversational and synthetic research model. Google is investing billions in the development of Gemini and its deep integration into all Search products. Consequently, the share of queries handled entirely by AI is set to increase significantly.

For Italian SMEs, this means that 2026 is the year to define a structured strategy, not to experiment with isolated tactics. Companies that begin revising their content architecture and online semantic presence today will have a measurable competitive advantage in 2027-2028.

Our team is available for an analysis of the current situation and to define a personalized action plan. It is possible contact us to explore our solutions in the section blog and in services.