AI search now runs on two internets. Build the organic stack that gets your brand cited on both, prioritizing pages, communities, video & reviews.
Google’s AI features answer the question on the results page, and the searcher never leaves. From January to April 2026, 68% of U.S. Google searches ended without a click. And less of Google’s traffic reaches the open web than it used to.
Because for a growing share of B2B buyers, the search doesn’t start on Google at all. It starts in an AI chatbot.
Google’s results page, its AI features, and the standalone LLMs all pull from a mix of sources. Reddit threads. YouTube videos. Review profiles. LinkedIn posts. Comparison pages.
That’s your organic growth stack. It’s also the mix your buyers use to build a shortlist.
If you only optimize your site, you’re competing for a shrinking slice of the pool. To stay competitive, SEO has to expand beyond on-site.
Today, I’ll show you which sources each surface leans on and what to build first.
For our State of B2B AI Discovery 2026 report with AirOps, we tracked roughly 380,000 AI answers covering 81 enterprise software topics across six AI surfaces. Unless linked otherwise, the figures below come from this study.
Let’s start with what didn’t change. Product pages still get cited more than anything else.
Across every AI surface we tracked, vendor sites, integrators, and tool directories took the largest share of citations. That ranged from 52% on Perplexity to 72% on Gemini.
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