Google AI Overviews: What Changes for SEO in 2026

Google I/O 2026: The Moment the Rules of SEO Changed

On May 20, 2026, during Google I/O, Mountain View made official what many industry professionals had been seeing for months. AI Overviews — answers generated by artificial intelligence right on the results page — are now the dominant format for informational queries, and increasingly for commercial ones. So the classic model of optimizing for ten blue links hasn't simply evolved: it has been redesigned from the ground up.

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

In this context, we at SHM Studio believe Italian SMEs should approach the transition with a clear method and without alarmism. After all, there are concrete levers you can act on today.

Anatomy of AI Overviews: How the New Engine Works

AI Overviews aren't just enhanced snippets. They're summaries generated by a large language model (LLM) trained on billions of web pages. Google picks the sources it considers most authoritative, summarizes them and shows them to the user before any clickable link. As a result, even a site that ranks well on page one can be invisible if it isn't included in the AI block.

According to Gartner analysis, by 2027 more than 50% of search queries will produce no clicks to external sites. Industry data also shows that queries with an AI Overview see organic CTR drop by 25% to 60% compared with the same queries without an AI block.

The source selection mechanism relies on three main factors: domain authority, the semantic structure of the content and consistency between named entities and structured data. So technical SEO is still relevant, but it needs to be combined with a content strategy built to be citable by AI models.

Direct Impact on Italian SMEs: The Numbers That Matter

For Italian small and medium-sized businesses — especially in B2B manufacturing, specialized retail and professional services — the impact is already measurable. Many of them built their digital visibility on SEO strategies established over the last five years. Today, those strategies deliver diminishing returns.

Three concrete signals deserve your attention:

• Drop in informational organic traffic: queries like "how does it work," "what is," and "difference between" are increasingly captured by AI Overviews. As a result, company blogs optimized for these keywords are losing traffic even with no change in rankings.
• No brand mentions in AI Overviews: many SMEs don't appear in AI summaries even when they rank on page one. This creates a gap between SERP visibility and how users perceive them.
• Measurement challenges: traditional analytics tools can't tell traffic lost to AI Overviews from traffic lost to other factors. Diagnosing the problem therefore takes a more granular analysis.

According to research from Harvard Business Review, companies that don't adapt their content strategy to the new AI formats risk losing up to 40% of their organic visibility by 2028. Even so, fewer than 20% of European SMEs have started a structured review of their SEO strategy in this direction.

What to Do Now: The New Architecture of Visibility

The answer to the AI Overviews disruption isn't to give up on SEO. It's to evolve SEO toward a model that we at SHM Studio call AI-ready content architecture. It's an approach that combines technical optimization, semantic authority and data structure in a coherent way.

Here are the immediate priorities:

• Optimizing for AI citability: content must answer specific questions directly, with short, structured sentences. AI models favor paragraphs that give a clear answer within the first three lines. SEO copywriting needs to be rethought with this in mind.
• Structured data and schema markup: implementing Schema.org markup for products, services, FAQs and organizations increases the chance of being included as a source in AI Overviews. This is a top-priority technical task for any web project.
• Building domain authority: Google selects sources that show topical consistency over time. So an editorial strategy focused on a cluster of specific topics works better than generalist content.
• Diversifying acquisition channels: relying only on organic traffic is now a structural risk. Google Ads campaigns, LinkedIn campaigns and integrated digital marketing strategies become essential parts of a balanced visibility plan.

The Role of AI in New Content Strategies

There's a productive irony in this transition: to respond to the disruption caused by Google's AI, SMEs need to bring AI into their own content production processes. But that doesn't mean generating text automatically and indiscriminately. Instead, AI should be used to speed up semantic research, identify users' real questions and structure content in the best possible way.

Our AI consulting services support Italian SMEs on this journey. In particular, we work on integrating editorial strategy, technical optimization and the thoughtful use of artificial intelligence tools. We also work alongside marketing teams to define KPIs that fit the new reality of the SERP.

As MIT Technology Review points out, the real skill needed today isn't optimizing for an algorithm, but building content that an AI model considers worth citing. It's a subtle but decisive distinction.

What Traditional SEO Tools Still Don't Measure

One often underestimated issue is measurement. The most widely used SEO tools — from Google Search Console to Semrush — still don't give a clear view of your presence in AI Overview blocks. As a result, many SMEs can't quantify their exposure, or absence, in these formats.

Some useful proxy metrics include:

• Change in average CTR for informational keywords over the last six months.
• Ratio of impressions to clicks for high-volume search queries.
• Your domain's presence among the sources cited in AI Overviews (checkable manually or with emerging tools like AI Overview Tracker).

It's also worth monitoring branded queries. If Google's AI describes your brand inaccurately, or doesn't mention it at all, you need to act on the structure of your corporate pages and on the consistency of the information published about you online. This is an area where SEO consulting overlaps with digital reputation management.

Outlook for 2027: Where Search Is Heading

The change under way is not an isolated episode. It's the start of a multi-year shift toward conversational, synthesized search. Google is investing billions in developing Gemini and integrating it deeply 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 2026 is the year to define a structured strategy, not to experiment with isolated tactics. Companies that start reviewing their content architecture and online semantic presence today will gain a measurable competitive advantage in 2027-2028.

Our team is available to analyze your current situation and build a customized action plan. You can contact us or explore our solutions in the blog section and our services.