As brightonSEO San Diego opens, Google’s new AI search reporting gives SEO teams a different scorecard

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As brightonSEO San Diego gets underway this week, search marketers are walking into a conference agenda that explicitly includes AI search, digital PR, content and analytics at a moment when Google has started giving site owners a more specific way to track how they appear inside generative search features. That combination matters because one of the biggest questions in SEO is no longer just where a page ranks in a conventional results page, but whether a brand’s content is showing up at all when AI systems summarize, recommend or link onward.

The immediate shift is practical rather than philosophical. In June, Google announced dedicated Search Console reporting for generative AI features in Search and Discover, and by August 31 said those insights had been rolled out to all websites worldwide. The reports give site owners views of impressions in AI features, the pages that appeared, country-level visibility, device information for Search, and time-based performance data. For marketing teams, that creates a new measurement layer: visibility inside AI-generated experiences can now be tracked separately from the broader performance report, even though it still sits within overall search reporting.

That does not mean the reporting answers every question. Google said it is still working with website owners on what insights would be most helpful and may add metrics over time. Even so, the current package changes the operating model for SEO and digital PR. Teams that once relied heavily on rankings, sessions and backlink counts now have a documented reason to ask a different set of questions: which pages are surfacing in AI responses, in which markets, on which devices, and how consistently over time.

brightonSEO’s official event page shows why that timing is likely to resonate. The San Diego conference, held on September 15 and 16 at the San Diego Convention Center, lists more than 150 talks across five stages covering SEO, AI search, content, digital PR, PPC, paid social and analytics. That does not establish what any speaker will say, but it does underline how firmly AI search has moved from side topic to core conference subject for the broader search marketing community.

New reports, new trade-offs

A second June update from Google makes the strategic choice even clearer. The company said it is testing and then globally rolling out a Search Console control that lets website owners decide whether their site can appear in and help ground responses in generative AI Search features such as AI Overviews, AI Mode and AI Overviews in Discover. Sites that opt out, Google said, will not receive traffic or impressions from those generative AI features, while that setting does not act as a ranking signal outside them.

For businesses, that creates a more explicit trade-off than the industry had before. If a publisher or brand is uneasy about how its material is used in AI-generated experiences, it now has a clearer control. But if it wants to compete for discovery inside those environments, it also has to accept that AI visibility is part of the search landscape and optimize accordingly. In practice, that pushes SEO and PR leaders away from treating AI search as a vague external trend and toward treating it as a channel with reporting, inclusion controls and updated best practices.

Google’s own guidance points to the kind of work most likely to matter. The company said website owners should focus on unique, non-commodity content, organize content clearly, create a good page experience and provide high-quality images and video to enhance pages. Those are familiar ideas in search, but the emphasis changes in AI contexts. Commodity copy built to match a keyword may struggle when systems are designed to synthesize across many sources. Material that is original, clearly structured and easy to interpret has a better chance of being surfaced, linked or used as grounding for a response.

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.”

From link building to AI visibility

The scale Google attached to these products helps explain the urgency. In its June post on new controls and insights for website owners, Google said AI Overviews had more than 2.5 billion monthly active users and AI Mode had surpassed one billion monthly users. It also said people are asking entirely new kinds of questions in Search. Taken together, those figures suggest that brands do not need to assume a full replacement of traditional search behavior to justify adaptation; AI surfaces are already large enough to warrant dedicated reporting and strategy.

What should businesses change first? The most immediate adjustment is to redefine success metrics so they include appearance within AI features, not just rankings and referral traffic. The next is content discipline: build pages that offer distinct information, solid structure and supporting media rather than interchangeable copy. The third is governance. Teams should make a deliberate decision about whether to participate in generative AI search features through Google’s control, because default drift is no longer a strategy when the platform now offers both inclusion mechanics and performance data.

That leaves brightonSEO San Diego with a timely industry backdrop. The conference may be about search marketing broadly, but Google’s recent releases narrow one debate that has hovered over the sector for months. AI search is no longer only something to speculate about from the outside. It is becoming something website owners can measure, opt into or out of, and plan around. For businesses revisiting SEO and digital PR, the concrete implication is simple: treat AI visibility as an operational search channel, and build content meant to be worth surfacing there.