AI Overviews Google: what changes 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 already been observing for months. The AI Overviews — AI-generated answers directly in the search results page — are now the dominant format for informational queries and increasingly for commercial ones. Therefore, the classic optimization model for the ten blue links hasn't simply evolved: it has been completely redesigned from the ground up.

As documented by TechCrunch in its dedicated episode , the core issue isn't just about dropping organic traffic. It's about narrative invisibility : most brands have no visibility into how Google's AI describes them to users. This is a reputation problem even before it's a ranking problem.

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

Anatomy of AI Overviews: how the new engine works

AI Overviews are not just enhanced snippets. They are summaries generated by a large language model (LLM) trained on billions of web pages. Google selects the sources it considers most authoritative, summarizes them, and presents them to the user before any clickable links. As a result, even a site that ranks well on the first page can become invisible if it is not included in the AI block.

According to the analyses of Gartner , by 2027 over 50% of search queries will not produce any clicks on external sites. Furthermore, industry data indicates that queries with AI Overviews see an organic CTR drop between 25% and 60% compared to the same queries without AI blocking.

The source selection mechanism is based on three main factors: domain authority , semantic content structure and consistency between named entities and structured data . Therefore, technical SEO remains relevant, but it must be integrated with a content strategy focused on being citable by AI models.

Direct impact on Italian SMEs: the numbers that matter

For Italian small and medium-sized enterprises — especially in B2B manufacturing, specialized retail, and professional services — the impact is already measurable. In fact, many of these businesses built their digital visibility on SEO strategies solidified over the past five years. Today, those strategies are yielding diminishing returns.

Three concrete signals deserve attention:

• Drop in informational organic traffic : queries like “how does it work”, “what is it”, “difference between” are increasingly intercepted by AI Overviews. Consequently, company blogs optimized for these keywords are experiencing traffic losses even without ranking variations.
• Absence of brand mentions in AI Overviews : many SMEs don't appear in AI summaries even when they rank on the first page. This creates a misalignment between SERP visibility and user perception.
• Measurement difficulties : traditional analytics tools don't distinguish traffic lost due to AI Overviews from traffic lost for other reasons. Therefore, diagnosing the problem requires more granular analysis.

According to research by Harvard Business Review , companies that do not adapt their content strategy to new AI formats risk losing up to 40% of organic visibility by 2028. Despite this, less than 20% of European SMEs have already started a structured review of their SEO strategy in this direction.

What to do now: the new visibility architecture

The answer to AI Overviews disruption isn't giving up on SEO. Instead, it's evolve SEO towards a model that we at SHM Studio define AI-ready content architecture . This is an approach that combines technical optimization, semantic authority, and data structure in a cohesive way.

Here are the immediate operational priorities:

• Optimization for AI citability : content must answer specific questions directly, with short, structured sentences. AI models favor paragraphs that contain a clear answer within the first three lines. The SEO copywriting needs to be rethought in this direction.
• Structured data and schema markup : implementing 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 .
• Building domain authority : Google selects sources that demonstrate thematic consistency over time. Therefore, an editorial strategy focused on a specific topic cluster is more effective than generalist content.
• Diversification of acquisition channels : relying exclusively on organic traffic is a structural risk today. The google ads campaigns , the LinkedIn campaigns and strategies of Digital marketing integrated approach becomes 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 does not mean generating text automatically and indiscriminately. On the contrary, AI should be used to speed up semantic research, identify users' real questions, and structure content in the best possible way.

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

As pointed out by MIT Technology Review , the real expertise required today isn't optimizing for an algorithm, but building content that an AI model considers worthy of citation. This is a subtle but decisive distinction.

What traditional SEO tools don't measure yet

A 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:

• Average CTR variation for informational keywords over the last six months.
• Ratio between impressions and clicks for high search volume queries.
• Presence of the domain in the sources cited in AI Overviews (verifiable manually or with emerging tools like AI Overview Tracker ).

Furthermore, it is useful to monitor branded queries: if Google's AI describes your brand inaccurately or fails to mention it, you need to work on the structure of your corporate pages and the consistency of the information published online. This is an area where SEO Consulting is intertwined with digital reputation management.

Outlook for 2027: where search is heading

The change underway is not an isolated event. It is the start of a multi-year shift toward a conversational and synthetic search model. Google is pouring billions into developing Gemini and deeply embedding it across all Search products. As a result, the share of queries handled entirely by AI is set to grow significantly.

For Italian SMEs, this means that 2026 is the year to define a structured strategy, rather than experimenting with isolated tactics. Companies that start reviewing 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 customized action plan. It is possible contact us or explore our solutions in the section Blog and in services .