Source record
Reported AI-search lead attribution and a workflow for adapting high-traffic pages with intent-matched FAQs
Everyone is calling this shift from SEO to GEO. It's bigger than that. For 20 years, we would optimize for the algorithm that we can measure.
Now we optimize for what the person needed.
All along, Google's been inching towards that the whole time. AI just closed the gap across 22 companies we track these coming from. 4% in a single year.
Doubled.
And those were the early movers, the ones who started back when most people were still debating whether any of this matter. So what does this mean for you? If you're building real content that answers real questions for people, you're not behind, you're ahead.
You just have to reformat it.
For the new surface, here's exactly what to do. This week, take your five highest traffic pages open and to the public. For each one's core topic, find the top 10 what, when, where, why?
Questions.
Pick three that match a want to know or a want to buy moment. Write a clean FAQ section at the bottom of each page, answering those three exact questions. Someone would say to AI
The creator reports that the share of leads attributed to AI search increased from 3.1% to 7.4% across 22 tracked companies in one year.
A cautious interpretation is to treat the reported change as a directional, self-reported signal that requires access to the underlying attribution method and company-level data before validation.
Everyone is calling this shift from SEO to GEO. It's bigger than that. For 20 years, we would optimize for the algorithm that we can measure. Now we optimize for what the person needed. All along, Google's been inching towards that the whole time. AI just closed the gap across 22 companies we track these coming from...
Base2026 attributes this public source record to @neilpatel, published 2026-07-06, with the original platform link and correction/removal path kept on the page.