June’s State of Search & AI covers why AI visibility isn’t transferable across platforms, what new research reveals about brand mentions, and more.
June’s State of Search & AI covers why AI visibility isn’t transferable across platforms, what new research reveals about brand mentions, and more.
New research shows that most brands don’t appear in AI results at all, and for those that do, the factors that predict visibility look different than expected. At the same time, what qualifies as “good” traffic is becoming a more contested question, and the tools marketers use to understand performance are themselves getting an AI upgrade.
May reframed what declining organic click volume actually means. As AI tools absorb more of the research and evaluation phases, users are increasingly arriving on websites later in their journey — with more intent, less patience, and much closer to a decision. That shift makes softening organic traffic look like a failure when it’s often a behavior change. Standard click-based reporting captures less and less of the value search actually delivers, and direct traffic, branded demand, and assisted conversions need to be read alongside organic to get an accurate picture.
June moves from the measurement question to the visibility question about whether brands are showing up in AI in the first place and what actually drives that.
This month’s signals cluster around a few related themes. AI visibility is platform-specific and still out of reach for most brands, Google is actively managing the narrative around traffic loss, and the tools marketers use to understand performance are starting to reflect the AI moment.
AI SEO guidance often assumes that what works in one AI system will work broadly across others. Recent research from Search Engine Journal directly challenges that.
Each major LLM (Google AI Overviews, ChatGPT, Perplexity, Gemini, Copilot) has its own data sources, its own retrieval logic, its own citation behavior, and its own answer formatting. A brand that appears reliably in one may be invisible in another, for reasons that aren’t fully transparent or consistent. Each platform is effectively its own visibility environment.
What this means for marketers: There is no universal AI SEO checklist that guarantees cross-platform visibility. Testing needs to happen by platform, and you need to identify the gaps.
Google has offered an explanation for some of the organic traffic decline tied to AI Overviews: a portion of the lost clicks were “bounce clicks.” These bounce clicks include users who clicked a result, immediately returned to search, and then found a better answer elsewhere. The argument is that AI Overviews are simply intercepting low-quality clicks that weren’t leading to meaningful sessions anyway.
Bounce clicks sidestep the more substantive concern. Even if some lost traffic was low-intent, brands and publishers still need measurable visibility, referral volume, and qualified discovery pathways. “You were getting bad clicks anyway” doesn’t answer the question of how to replace the good ones, or how to tell which is which when attribution is already unclear.
What this means for marketers: Take the bounce click framing as a useful prompt, not a resolution. The real task is distinguishing between traffic loss that reflects AI intercepting low-value queries and that which reflects real erosion in qualified discovery. Engagement metrics, on-site conversion behavior, and downstream business outcomes are the right lens for that.
A study from Victorious found that 90% of brands analyzed had no AI search mentions at all.
More interesting than the headline number is the correlation for the brands that did appear. Brand mentions across the web had the strongest relationship with AI inclusion. Backlinks (AKA the currency of traditional SEO for two decades) had the weakest. That’s a meaningful inversion. AI systems appear to be drawing heavily on broader brand authority: third-party coverage, reviews, directory presence, mentions in trusted publications, etc.
What this means for marketers: If AI visibility is the goal, the strategy extends well beyond the website. Digital PR, earned media, review volume, and presence in authoritative third-party sources are all contributing factors. You need to build a web presence that AI systems recognize as credible.
Google is rolling out an AI assistant inside GA4 that lets users ask natural-language questions about their data. You can ask what changed, why a metric shifted, how a campaign is performing relative to a period, and more. The goal is to surface insights faster without requiring deep familiarity with the reporting interface.
That’s genuinely useful for teams that spend significant time navigating reporting to find answers they could have articulated as a question, but there’s still a ceiling on what the tool can do. It can tell you what happened in your data. It can’t tell you whether your KPIs are the right ones, whether your tracking setup is capturing what matters, or what the business context is behind a number. Those require judgment that sits outside the data.
What this means for marketers: Use the GA4 AI assistant to speed up reporting and surface anomalies faster, which is a real efficiency gain. But treat it as a starting point for analysis. The value of the tool depends entirely on the quality of the tracking underneath it and the strategic context the team brings to whatever it surfaces.
Most brands aren’t visible in AI at all yet, and the path to getting there runs through brand authority more than technical signals. That’s a different kind of work than SEO has historically required — work that’s more distributed, harder to directly control, and slower to compound.
At the same time, the platforms themselves are still figuring out their own rules. AI visibility doesn’t transfer across systems, Google is actively shaping how traffic loss is interpreted, and the analytics tools meant to help make sense of it all are only as useful as the strategy and tracking they’re built on.
For marketers, that means:
Showing up in AI search is about being known. If your brand builds authority across the web, it will have a structural advantage in AI visibility that technical fixes alone can’t replicate.
June’s State of Search & AI covers why AI visibility isn’t transferable across platforms, what new research reveals about brand mentions, and more.
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