Google held a Search Central Live event in Milan in June 2026, and it covered a lot of ground, content quality, crawling, AI Overviews, Search Console updates, and some myth-busting that a good number of SEOs needed to hear. These events are valuable because they give practitioners direct insight into how Google thinks about ranking and discovery, straight from the source.

Here is a breakdown of everything covered and, more importantly, what it means for how you should be managing your site.

15% of daily searches are brand new

Google confirmed that 15% of its daily searches are entirely new queries it has never processed before. The practical implication here is significant: optimising only for known, high-volume keywords leaves a large portion of potential traffic unaddressed. Targeting topics and intent, not just specific phrases, remains the correct long-term approach.

How Google crawls your site

Google outlined the URL lifecycle, the pipeline a page follows from discovery through to being indexed and ranked. Crawl inefficiencies almost always trace back to a misalignment between these stages, often made worse by sudden traffic fluctuations or incorrectly configured robots.txt files.

If pages on your site are not being crawled or indexed as expected, auditing this pipeline is the right place to start. Robots.txt errors in particular are a common culprit that gets overlooked.

For complex queries, Google also uses what it described as a “fan-out” mechanism, expanding the query into parallel sub-searches to build a richer understanding before returning results. This reinforces why content that answers related subtopics within the same piece tends to perform well.

Commodity vs non-commodity content — Google is drawing a clear line

This is arguably the most important topic Google covered at the event.

Google is applying a more restrictive approach towards what it calls commodity content, generic, rewritten guides that lack proprietary data or original insight. Synthetic and programmatic text that does not bring anything new to the table is being treated as scaled content abuse.

What Google is rewarding instead is content that is:

  • Unique: An unreplicable viewpoint that cannot be found verbatim elsewhere
  • Specific: Vertical case studies and in-depth analyses, not surface-level summaries
  • Authentic: First-hand experience from someone who has actually done the thing they are writing about

If your content strategy leans on rewrites and generic how-to guides, this is a direct signal from Google that such an approach carries real ranking risk. The businesses that will hold and grow their organic visibility are those producing content that could only have come from them.

Site-wide signals: Individual pages cannot escape the quality of the whole site

Google reiterated something that is often underestimated: URLs are not islands. Site-wide quality signals affect the rankings of every page on a domain, not just the pages that are weak. A section of thin, low-quality content can drag down otherwise strong pages elsewhere on the same site.

Diversifying traffic sources was also specifically recommended as a way to reduce algorithmic dependency. Relying entirely on organic search from a single domain that has quality issues is a fragile position.

AI overviews — What clicks actually look like

Google shared something interesting about clicks coming from AI Overviews: users who land on a page via an AI Overview link tend to spend more time on that page than users arriving through traditional search results.

The explanation is straightforward, when a user has already been given context by an AI Overview, they arrive at the page with a clearer understanding of what they are looking for. The content serves a more informed visitor, which naturally results in higher dwell time.

Google did not provide specific percentages, but the direction is clear: being cited within AI Overviews does drive traffic, and that traffic is of reasonable quality.

New AI reporting in Google Search Console

A significant Search Console update was announced: an AI Reporting section (currently in beta) is rolling out that separates impression and click data by source, AI Overviews, AI Mode, and Discover are tracked individually.

Alongside this, an AI Settings panel is being added, giving site owners explicit control over whether their site is included or excluded from AI-powered search features.

For anyone managing SEO seriously, this separation of data is genuinely useful. Being able to see exactly how much traffic is coming from AI surfaces, versus traditional organic results, allows for far more accurate performance analysis and better-informed decisions about content strategy.

Paywalled content and subscription linking

For publishers operating behind a paywall, Google covered a meaningful update around subscription linking via the Reader Revenue Manager. When paywalled content is correctly integrated using this setup, subscribers can see a “From your subscription” label directly in the search results.

Internal case studies presented at the event showed a 34% increase in user engagement from this integration. The mechanism makes it easier for existing subscribers to find content they already have access to, which reduces the friction that would otherwise lead them to skip paywalled results entirely.

If your business runs a subscription-based content model, this is worth implementing.

Chunking for AI — The myth Google put to rest

One of the more direct pieces of myth-busting at the event: forcing your content into short, artificially chunked paragraphs to help AI systems process it is pointless. Google was explicit, content organisation should follow human readability, not AI formatting assumptions.

Google’s parsers handle structural irregularities. Similarly, there is no algorithmic reward for clean HTML validation in and of itself, the parsers deal with specification errors without penalising the site.

Write for people. Structure content so it is easy for a human to read. That is what actually matters.

Structured data — Cross-page policy linking

Google is working on what it described as cross-page @id linkage, which would allow products in structured data to reference organisational policies held on different URLs. The goal is to reduce code redundancy and make it easier to surface consistent, policy-level information across search and AI responses.

This is still in development, but it is a signal that structured data is going to play an increasingly important role in how Google and its AI surfaces understand and represent a business.

“Vibe coding” — Google’s position on AI-assisted development

Google directly addressed the growing trend of using AI to build technical tools and scripts. The position was measured but cautious: while AI can produce functional code for basic tasks, developers and site owners must critically evaluate the long-term security, maintenance, and architectural implications of AI-generated code.

Google specifically pointed to official endpoints such as the Search Console API as the recommended approach over ad-hoc AI-built workarounds.

The summary

The themes running through everything Google covered in Milan are consistent with the direction search has been moving for some time, but this event sharpened the detail considerably.

Content quality, authenticity, and first-hand expertise are not optional extras. Site-wide quality matters as much as individual page optimisation. AI Overviews are a legitimate traffic source with engaged users attached. And the new Search Console reporting tools are going to give anyone paying attention a real advantage in understanding exactly where their traffic is actually coming from.

If your current SEO strategy is not accounting for these signals, now is the time to revisit it. I am a UK-based SEO and Google Ads consultant with 23 years of experience helping businesses improve their organic visibility, traffic quality, and search performance. If you want an honest assessment of where your site stands in light of updates like this, get in touch.