The research layer underneath everything we ship.
Daily platform monitoring. Weekly research scanning. Monthly methodology updates. Emergency response when major platform changes hit.
Hundreds of verified findings, drawn from peer-reviewed research at Princeton, Microsoft Research, and Harvard, large-scale industry studies from Ahrefs and Adobe, platform-official documentation across all five AI platforms we audit, and many more.
What's inside it.
The Adaptive Research Engine is organized around six intelligence domains spanning AEO and GEO. Each is a specific question about how AI shopping works.
How AI recommends.
When someone asks AI what to buy, what determines which brands appear in the response?
What content wins.
What makes on-site content more likely to get cited, recommended, or surfaced by AI?
How products get surfaced.
How do product feeds and merchant platforms determine what AI can find, display, and sell?
What off-site signals matter.
Which external signals (publications, reviews, citations) influence AI trust?
Competing approaches.
What other agencies, tools, and platforms are doing, and where our methodology holds up.
The market we're in.
How big AI shopping is, how fast it's growing, and what forces are shaping it.
Every finding entering client work clears an internal evidence check before it can influence strategy. When we tell you to prioritize one authority target over another, or rewrite one product page and leave another, the call traces back to graded evidence.
How it runs.
Evidence is one thing. A pipeline that turns it into client strategy is another. Every finding moves through the same flow before it influences what we ship.
Inputs.
Daily signal sweep across the five AI platforms catches shifts in what they're citing and how they're ranking. Weekly research scanning pulls academic, industry, and platform-official sources. When a platform announces a major change, an alert hits the system directly.
Evaluation.
Every finding goes through an internal evidence check before it can influence client strategy. Findings that don't clear the bar don't enter client work.
Integration.
Findings that clear the bar enter methodology on a monthly cycle. When platforms announce major changes, emergency response overrides the cycle and updates propagate to active strategy within days.
Most research in this space is informal. An idea, a blog post, a tweet someone saw. This is the version that holds up when AI shopping changes on you.
Now you know what's underneath.
Every call we make for your brand traces back to evidence about how AI shopping works today.