AI-Ready Buyer™ Research

Your buyer decided
before you showed up.

B2B buying committees now use AI to research, shortlist, and rank vendors before any sales conversation begins. I research the decision process your pipeline can’t see — and publish what I find.

25+
Years buyer psychology
15+
Named
frameworks
2×
Published
author
Author

The AI-Ready Buyer™ & Consumer Behavior for Dummies

The Research

The Silent Committee: How B2B Buying Changed

89% of B2B buyers use generative AI as a primary research source. Most vendors don’t know what AI says about them — or whether they’re included at all.

The Problem

The buyer didn’t break the funnel.
They outgrew it.

AI tools now do what sales reps used to: they educate, compare, and rank vendors before any human conversation happens. The buying committee forms a view — and a shortlist — in private. By the time they reach you, the decision is nearly made.

The Old Buyer
The AI-Ready Buyer™
Follows their gut
Follows AI-synthesized data
Waits to hear from reps
Researches independently first
Takes weeks to decide
Shortlists in days, privately
Needs convincing
Shows up with a view already formed
Hears the same pitch as everyone
Expects proof AI can verify

What This Means for Your Pipeline

Three things happening
in every deal right now

01

The shortlist forms before your team knows there’s an evaluation

AI-generated summaries circulate inside buying committees weeks before an RFP. If you’re not in the summary, you’re not in the deal — and you won’t know you were excluded.

02

AI is describing your company — accurately or not

When a buyer asks ChatGPT or Perplexity about your category, it synthesizes what it finds. If your signals are fragmented or outdated, the summary misrepresents you. Buyers don’t fact-check the AI.

03

Deals stall because committees interpret the same data differently

The CFO sees budget risk. The IT Director sees integration fragility. The Sales Ops Manager sees productivity loss. AI reinforces each interpretation separately. The deal stalls without a nameable objection.

The Diagnostic Methodology

Where decisions form
before you arrive.

My research examines how B2B companies are being interpreted, evaluated, and shortlisted by AI-mediated buyers across seven signal surfaces — before any sales conversation begins. The findings identify exactly where companies are losing consideration upstream of their pipeline.

1
Seven Signal Surfaces

AI Summary Layer, Website Signal Architecture, Peer Network Visibility, Content Authority Index, Leadership Signal Layer, External Reference Footprint, and Buyer Journey Alignment.

2
Three Trust Layer Dimensions

Readability, Reliability, and Risk Acknowledgment — the dimensions AI uses to evaluate vendor credibility before any human conversation occurs.

3
Shortlist Exclusion Mapping

Where companies drop off the consideration set — and which signal gaps are responsible. Published in full in The AI-Ready Buyer™.


Published 2026 · Available on Amazon

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  • The Silent Committee: How the B2B Buying Process Changed

AI-Ready Buyer™ Briefings

The shift is already inside your pipeline.

Research notes and analysis for GTM leaders navigating AI-mediated buyer behavior. Published on Substack — free to subscribe.

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