TL;DR: The organic purchase path didn’t disappear. It moved into AI surfaces your analytics weren’t built to measure. Here’s what that means for your brand.
At Google I/O this week, Liz Reid, VP of Search, said something that should have stopped every ecommerce marketer in their tracks: “Google Search is AI search, through and through.”
She also shared that overall query volume hit an all-time high last quarter.
If your organic sessions are down year over year, those two statements probably feel like a contradiction. They’re not. It’s because the consideration stage moved into AI tools your analytics aren’t measuring.
The Consideration Stage Moved
For most of the past decade, the ecommerce purchase path had a predictable shape: a buyer searched, clicked, browsed, and eventually converted. Your organic performance was measured by how many of those clicks you captured.
That shape is changing. Buyers are increasingly starting their research in AI tools – asking ChatGPT to compare packaging suppliers, asking Gemini to recommend the best skincare routine for their skin type, asking Google AI Mode to explain the difference between two products. They get a synthesized answer, often without clicking through to any website at all.
By the time they land on your site, the consideration stage may already be largely over. They didn’t arrive via a trackable organic click. They arrived because an AI tool shaped their thinking first.
This is not a future scenario. Google confirmed that AI Mode has surpassed one billion monthly users in just one year. AI Overviews now reaches 2.5 billion monthly users. And Google announced the next layer: Search agents that work in the background on behalf of users, continuously scanning the web and delivering synthesized recommendations without a query ever being typed.
The top of your funnel didn’t disappear. It moved somewhere your analytics aren’t looking.
Why Your Data Doesn’t Show It
Most organic performance reporting is built on last-click attribution and session counts. Both were designed for a world where search generates a click, and the click generates a session.
When AI tools absorb the consideration stage, that chain breaks. A buyer influenced by a ChatGPT recommendation might convert days later via a branded search or a direct visit. A Google AI Mode response that includes your brand might shape a purchase decision that never generates an attributable session at all.
This isn’t a data quality problem you can fix with a better analytics setup. It’s a structural limitation of click-dependent measurement in a world where influence increasingly precedes the click.
There’s also a more immediate tracking gap worth knowing about. A method that allowed sites to identify clicks coming from AI Overview results was removed by Google in early May 2026. That signal is currently gone, with no replacement confirmed. For now, AI Overview presence tracking relies on rank tracking tools rather than traffic analytics.
We’re not saying your organic sessions number is meaningless; it’s just incomplete. And the gap between what it shows and what’s actually happening is growing.
What This Means for Your Brand
If your brand is well-represented in AI surfaces – cited by ChatGPT, recommended by Perplexity, described accurately and favorably by Gemini – you’re shaping buying decisions even when you’re not getting the click credit.
If you’re not present in those surfaces, you’re losing consideration-stage visibility that won’t show up as a traffic drop until much later, when conversion rates start to soften and branded search volume starts to decline.
Google’s announcement makes the stakes higher. Personal Intelligence in AI Mode is now expanding globally with no subscription required, allowing Search to connect a user’s Gmail, Photos, and Calendar to personalize recommendations. AI search is becoming increasingly context-aware. Brands that are recognized, understood, and trusted across AI platforms will be recommended to more relevant buyers. Brands that aren’t will be systematically overlooked, regardless of their traditional rankings. This is exactly what Generative Engine Optimization is designed to address.
Where to Start
You don’t need to overhaul your strategy overnight. But there are a few things worth doing now.
- First, learn how AI tools describe your brand. Ask ChatGPT, Perplexity, and Gemini about your category and see whether your brand appears, how it’s described, and whether that description is accurate. What you find will tell you a lot about where you stand.
- Second, make sure your brand information is consistent everywhere it appears. Your website, your schema markup, your Google Business Profile, and any third-party listings should all describe your brand, products, and policies the same way. Inconsistency is one of the main reasons AI tools misrepresent brands, and it’s one of the most fixable problems.
- Third, look at your AI referral traffic. Tools like ChatGPT, Perplexity, and Gemini are already sending traffic to sites with strong brand presence. If you’re not tracking those sessions separately, you’re missing an early signal of where AI-driven discovery is heading.
- Finally, ask your agency what they’re measuring. If AI search presence, brand visibility in LLMs, and revenue per organic session aren’t part of your reporting conversation yet, they should be.
A Final Note
This landscape is still forming. Nobody knows exactly how fast Search agents will roll out, how Personal Intelligence will change recommendation patterns, or what the next measurement breakthrough will look like. Anyone claiming certainty is oversimplifying.
What we do know is that the structural shift is real and it’s accelerating. Waiting for cleaner data before acting is itself a strategic choice, and one that tends to benefit the brands that moved earlier. If you’re not sure where your brand stands in AI search, we can help you find out. Talk to our SEO team.
Sources
Google I/O 2026 keynote and Search announcements, May 19, 2026. AI Overview and AI Mode user figures from Sundar Pichai and Elizabeth Reid keynote remarks.
