An independent research practice on AI-mediated buyer discovery.
Each engagement produces a written intelligence report — not a dashboard, not software.
Why this matters now
AI search systems — ChatGPT, Claude, Gemini, Perplexity, Grok — increasingly mediate the moment a buyer in your category first hears a vendor's name. Most companies have no idea whether they're being cited or how to fix it when they're not. The visible behavior of these systems shifts faster than traditional SEO frameworks can describe, and the operational levers are different.
The framework
We score every cited URL on three independent axes — Retrieval, Trust, Answerability — and report observed correlations, not declared ranking factors. A page can fail on any one axis for reasons the others can't fix. See the framework section on the homepage for definitions and failure-mode examples.
How we work
- Scope. You share your domain, top competitors, and buyer-intent queries. We build the prompt set together.
- Deliver. A long-form intelligence report with per-URL scoring, scoped work orders, and a sequenced 30-day roadmap.
- Re-audit. At day 90 we re-run the same prompt set against your updated site and produce a delta brief.
See engagement tiers for current pricing and what each includes.
Research lead
Research lead An independent research practice. The principal investigator is an economist and AI researcher whose prior work spans applied machine learning, internet platforms, and expert analysis in technology-related matters.Confidentiality & methodology
Every engagement is governed by a mutual non-disclosure agreement signed before scoping and remains in force after delivery. Reports referenced on this site as examples either have explicit written permission from the engagement sponsor or are anonymized to the point where the original engagement is not identifiable.
Methodology is versioned and updated monthly as AI engines change. Data handling is documented in our privacy policy.