BrightonSEO San Diego opened on 15 September at the San Diego Convention Center with two days of talks spanning SEO, AI search, content, digital PR, PPC, paid social and analytics. That timing matters. Search marketers gathering there are doing so just months after Google introduced dedicated reporting for generative AI visibility in Search Console and, by 31 August, rolled those insights out worldwide. For practitioners, that changes the conversation from broad debate about AI search to a more operational question: what, exactly, is being seen, where, and on which pages?
The immediate shift is that AI search is no longer something marketers can treat only as a future channel or an abstract threat to web traffic. Google’s new reporting gives site owners dedicated views of impressions within generative AI features in Search and Discover, including visibility tied to AI Overviews and AI Mode. The reports break that exposure down by pages, countries, date ranges and, for Search results, devices, and Google says that data also remains included in the overall performance report. In other words, AI visibility has started to become measurable inside the workflow many SEO teams already use.
That matters because strategy tends to harden around whatever can be tracked consistently. For years, classic SEO programs were organized around rankings, clicks, landing pages and, in many digital PR teams, referral value from links. Generative AI features introduce a different layer of discovery: a brand or publisher may appear inside an answer experience before a user decides whether to click through. Once that appearance can be isolated in reporting, marketers have a new dataset for judging whether their content is merely indexed, traditionally visible, or also surfacing in AI-led search journeys.
From rankings and links to AI visibility
Google’s broader June update adds another reason this topic is central for search teams. Alongside the reporting changes, the company introduced a Search Console control that lets website owners decide whether their site can appear in and help ground responses in generative AI Search features. Sites that opt out, Google says, will not receive traffic or impressions from those AI features, while the control is not used as a ranking signal for search results outside them. That creates a more explicit strategic choice than many publishers and brands have had before: participate in AI discovery, or decline it, but do so knowingly rather than by assumption.
Google has also tied that choice to audience scale. In its June post, the company said AI Overviews has more than 2.5 billion monthly active users and AI Mode has surpassed one billion monthly users. Whatever debates continue around click patterns or publisher economics, those figures make one point clear for marketers: AI search features are large enough that opting in or out is no longer a fringe technical setting. It is part of channel planning, with implications for discoverability, content formatting and how teams evaluate the role of organic search in brand reach.
As practitioners weigh that, Google’s own guidance points toward a familiar but now more urgent content standard. The company says it has updated best practices around improving visibility in generative AI Search features, including the importance of unique, non-commodity content, sound content organization, a good page experience, and high-quality images and video. None of that reads like a shortcut. If anything, it suggests that the AI era may reward the sites that are easiest for search systems to interpret and most useful for people to choose from among many similar sources.
Under that backdrop, 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.”
What businesses may need to change now
That view lines up with one practical consequence of Google’s latest updates: citation value and click value are no longer identical concepts. A page can contribute to AI-driven discovery by being visible within generative results, even before a user lands on the site. That does not make links irrelevant, but it does broaden what digital PR and SEO teams may need to optimize for. Speed of publication, clarity of source material, and content that answers specific questions cleanly could become more important when search experiences are assembling responses rather than simply listing blue links.
For businesses deciding what to change, the first adjustment is measurement discipline. With generative AI reporting now available in Search Console worldwide, teams can review which URLs appear in AI features, which countries generate that visibility, and how exposure changes over time. That creates a way to compare AI-facing content against conventional organic performance instead of guessing from anecdote. The second adjustment is editorial. If Google is emphasizing unique, non-commodity information and clearer page assets, then repetitive commodity copy is less likely to stand out in a search environment built to summarize and compare.
The concrete implication for businesses is straightforward. Treat AI search as a measurable organic surface, not just a talking point. Review the new Search Console reporting, make an explicit decision on Google’s AI Search participation controls, and build pages designed to offer distinct information rather than interchangeable summaries. As search discovery changes, the teams most likely to benefit may be the ones that stop treating visibility, citation and click-through as the same thing and start managing each on its own terms.
