Search marketers heading into brightonSEO San Diego this week are doing so with a new layer of reporting to work from. Google said its Search Console now includes dedicated performance reports for generative AI features in Search and Discover, with impressions, pages, countries and date-based views, plus devices for Search results, designed to show how a site appears inside AI Overviews, AI Mode and related AI surfaces. As of August 31, those insights were rolled out to all websites worldwide, turning AI visibility from a largely inferred topic into something teams can monitor directly.
That matters because it changes a long-running habit in SEO: treating rankings and click-throughs from classic blue-link results as the main evidence of search presence. Google’s 2026 updates point to a broader view. Website owners can now track whether their pages are appearing inside generative AI experiences, and they can also decide whether they want their site to appear in and help ground those responses. In practice, that means AI search is no longer just an abstract trend for conference panels. It has become part of routine search operations, with reporting and controls attached.
The official brightonSEO San Diego page lists the event on September 15 and 16 at the San Diego Convention Center, with talks across SEO, AI search, content, digital PR, PPC, paid social and analytics. That agenda reflects how closely these disciplines are now blending. If AI features are becoming a meaningful place where people discover brands, publishers and creators, the old separation between technical SEO, content production and digital PR becomes harder to maintain. Visibility in AI systems depends not just on crawlability or rank, but on whether content is distinctive enough to be surfaced and linked.
Google’s own language around this shift is revealing. In its June update on new controls and insights for website owners, the company said people are increasingly turning to generative AI tools to find, sort through and understand information. It also said AI Overviews has more than 2.5 billion monthly active users, while AI Mode has surpassed one billion monthly users. For marketers, those figures help explain why the question is changing from “Do AI answers matter?” to “How will we measure and shape our presence inside them?”
One practical implication is that SEO strategy may need to move away from treating every successful page as a page built mainly to win a click. Google said its AI search features are designed to include prominent links to websites and that it has increased inline links and added website previews to encourage click-through. But it also said website owners should focus on unique, non-commodity content, sound page organization, good page experience and high-quality images and video. That combination suggests a more layered model of optimization: content still has to earn traffic, but it also has to be useful as source material in AI-mediated discovery.
Adriaan Brits, CEO of Sitetrail, said: “The exciting thing about this year’s event in San Diego is that we’ve just updated NewsPass to deliver live news from independent media within minutes of submission. Today, the focus is shifting—it’s less about earning a backlink and more about getting cited by AI for speed and accuracy. If you're open to stepping away from the old playbook, this new era of search and discovery offers incredible opportunities.”
That view lines up with the direction of the reporting now available. If search teams can see impressions from AI features separately, they can start identifying when their pages appear in generated responses. For digital PR, that may shift the emphasis toward material that is timely, attributable and easy for search systems to interpret. For content teams, it raises the value of clear structure and original information over copy that closely resembles what is already widely published.
The new control Google described adds another strategic layer. Website owners can decide in Search Console whether their site appears in generative AI Search features and helps ground responses there. Sites that opt out, Google said, will not receive traffic or impressions from those AI features, though the setting is not used as a ranking signal outside them. That turns AI search participation into a more explicit publishing decision. Brands that want visibility in these environments may need internal agreement across search, editorial and legal teams about where their content should appear and how much value they expect from that exposure.
For marketers trying to translate this into day-to-day work, the most useful question may be simpler than the broader debate about whether AI will replace search habits. The reports show impressions, pages, countries, devices and time-based changes. That means teams can look for patterns: which pages show up in AI features, in which markets, and on which devices. They can then compare that visibility with the content characteristics Google itself highlights, especially originality, page quality and media assets. It is a more concrete workflow than arguing in the abstract about AI disruption.
There is also a quieter but important governance point in Google’s updates. The company is offering both more insight and more control at the same time: expanded reporting for AI appearances, and a toggle for whether a site participates in those experiences. For businesses, that combination means AI search strategy cannot sit entirely inside experimentation teams. It touches publishing policy as well as performance measurement, especially for organizations that care about where their content appears and how audiences encounter it.
The operational takeaway from this year’s AI-search conversation is less about chasing a single new tactic than about updating what success looks like. Teams that still evaluate search mainly through conventional ranking reports may miss how often their content appears in generative AI features. With brightonSEO San Diego underway and Google’s AI reporting now broadly available, the immediate job is to treat AI visibility as a measurable part of search performance and to build content that gives those systems something distinctive to work with.
