Explore July’s State of Search & AI: Google’s AI-native search, zero-click trends, new AI performance reporting, and agentic readiness for technical SEO.
Explore July’s State of Search & AI: Google’s AI-native search, zero-click trends, new AI performance reporting, and agentic readiness for technical SEO.
One of the persistent frustrations in the AI search conversation has been measurement. Brands have seen that AI reshapes how users find information, but there’s been almost no reliable way to know whether they’re showing up in the results.
July starts to close that gap. Both Google and Microsoft introduced reporting tools that surface AI citation and visibility data for the first time, giving marketers something concrete to track. That shift in what’s measurable arrives alongside significant structural changes to search itself and a zero-click figure that puts a real number on how often a search never leads to a website visit.
June established that most brands have no AI search visibility at all — 90% had zero mentions in AI results. June also covered why AI visibility doesn’t transfer automatically across platforms (what works in Google AI Overviews won’t necessarily work in ChatGPT or Perplexity) and pushed back on Google’s framing of traffic loss as a click-quality issue rather than a real business concern.
July picks up where June left off on the measurement problem, but this time with some actual tools to work with.
July’s developments span the full stack. The search experience itself is being rebuilt around AI at the product level, zero-click data confirms the scale of what’s already changed, new reporting tools are making AI visibility trackable for the first time. The definition of technical readiness is expanding to include something that didn’t exist as a consideration two years ago.
Google I/O brought the clearest signal yet that AI is becoming the interface. The announcements included a reimagined search box, deeper AI Mode integration throughout the results experience, and the ability for users to move from an AI Overview directly into a follow-up conversation. It’s increasingly clear that Google wants users to stay within a conversational AI experience rather than hop between links and repeatedly return to search.
The query-results-click model that search has run on for 25 years is being replaced by something closer to a dialogue. Users will ask more complex, layered questions. They’ll get synthesized answers. And a larger share of them will reach some conclusion or decide without ever visiting a website.
What this means for marketers: The strategic question is now “How do we show up in the answers AI is generating?” Content that’s structured for synthesis — clear, specific, directly responsive to real questions — is better positioned than content written to rank for a keyword, as the audience becomes a machine deciding what to surface rather than a human scrolling through results.
New research found that 68% of U.S. Google searches ended without a click in the first four months of 2026, up from 60% in 2024. That’s a significant jump in a short period, reflecting both the growth of AI Overviews and the broader expansion of zero-click surfaces (featured snippets, knowledge panels, local packs, and direct answers that satisfy the query without requiring a visit).
The figure is striking, but the more useful question is what’s driving it and which queries it affects most. Navigational and transactional searches still produce clicks at a much higher rate than informational ones. What’s being absorbed by zero-click and AI is the research, comparison, and background understanding that used to require reading several pages.
What this means for marketers: Zero-click isn’t uniformly bad, but it does require honesty about which traffic is actually at risk. Informational content that was generating sessions but not conversions may continue to generate brand exposure through AI, just without the click. The more urgent questions are whether discovery still happens and whether it leads to downstream action.
This is the most practically significant development in July. Google is beginning to surface AI Search visibility reporting in Search Console. It’s only impression data for now, but it’s the first time brands have had a direct window into whether and how often their content appears in AI-generated answers. Separately, Google is also pulling Google Business Profile data into GA4, connecting local actions with broader analytics reporting.
Microsoft went further. Bing Webmaster Tools now includes an AI Citation Share metric: the percentage of AI citations a site captures for a specific grounding query. That frames AI visibility as a share-of-voice problem and opens up competitive analysis in a way that hasn’t been possible before.
What this means for marketers: The measurement gap that has made AI search strategy feel speculative is starting to close. Adding AI impression data from Search Console to regular reporting is a clear next step. For brands with a local presence, connecting GBP data to GA4 provides a more complete picture of how local visibility translates into actual business actions. And Bing’s citation share metric is worth tracking even for brands where Bing isn’t a primary channel.
The factors that determine whether AI systems trust and recommend a local business look a lot like the factors that determine a business’s offline reputation: review volume and recency, sentiment, whether the owner responds, and whether the information is consistent across platforms. AI systems that surface local recommendations appear to treat these signals as proxies for trustworthiness.
For local businesses in particular, reputation management and review generation are part of the technical surface that AI uses to make decisions.
What this means for marketers: Review generation, response practices, and cross-platform information consistency (name, address, phone, hours, services) should be treated as AI discoverability inputs. A business with strong, recent, well-responded-to reviews across multiple platforms gives AI systems the signals needed to recommend it confidently.
Google’s Lighthouse tool is beginning to surface checks related to agentic browsing, evaluating whether AI agents can understand and interact with a website. That’s a meaningful expansion of what “technical readiness” means. Crawlability, rendering, and indexing have been the core technical SEO benchmarks for years. Agentic readiness adds a new layer, asking whether an AI system can parse the page structure, understand which actions are available, and navigate the site as an intelligent agent would.
This is early, and agentic search and AI-driven browsing are still emerging behaviors. But Lighthouse surfacing these checks signals that Google is thinking ahead to a world where AI agents browse on users’ behalf to complete tasks. Sites built for human readability but not machine interpretability will face a different kind of technical debt than they’re used to managing.
What this means for marketers: This doesn’t require immediate action for most brands, but it’s worth knowing that the technical SEO goalposts are moving again. Accessibility, semantic HTML, clear page structure, and well-labeled interactive elements are increasingly tied to AI discoverability. Teams doing technical audits should start including these dimensions alongside traditional crawl and render checks.
For the first time, brands can start to see how often their content appears in AI-generated results, and in Bing’s case, what share of citations they’re capturing. That shift turns a conversation that has been largely theoretical into one grounded in actual data.
At the same time, the structural changes happening at the product level — Google rebuilding search around AI, zero-click approaching 70%, agentic readiness entering the technical conversation — are a reminder that the window for building these foundations isn’t indefinite. Brands need to establish AI visibility baselines and measurement practices now.
For marketers, that means:
The tools to measure AI visibility are arriving. The question now is whether marketing teams build the habits to use them.
Explore July’s State of Search & AI: Google’s AI-native search, zero-click trends, new AI performance reporting, and agentic readiness for technical SEO.
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