About
Author, strategist, and analyst of how AI judges you.
25+ years decoding buyer behavior. Creator of the AI-Ready Buyer™ framework. I help B2B leaders understand what AI tools decide about them before any human conversation begins.
The Buyer Has Changed
The Silent Committee™
My Approach
I combine buyer psychology with the realities of AI-mediated decision-making. My research examines how companies are being interpreted by AI tools before any human buyer picks up the phone — and where evaluation outcomes are forming before the first conversation.
- Named methodology: The AI-Ready Buyer™ Framework — documenting how the Silent Committee™ forms, where Signal Architecture fails, and why The Broken Funnel makes pipeline a lagging indicator
- Research-grounded analysis — not generic recommendations
- Revenue-impact framing relevant to CMOs and GTM leaders
- Backed by 25+ years of B2B buyer psychology research
Proven Experience
I’ve helped teams across industries — from SaaS to manufacturing to finance — adapt to major market shifts. My research translates complex buyer behavior patterns into findings that give revenue teams a clearer picture of where they stand.
Ready to see where you stand?
Frequently Asked Questions
Who is Laura Lake?
Laura Lake is an independent analyst studying AI-mediated B2B buying behavior. She is the founder of AI-Ready Buyer™ Research and the author of The AI-Ready Buyer™ (2026) and Consumer Behavior for Dummies (Wiley, 2009). Her research examines how AI tools mediate enterprise buying decisions before any vendor contact occurs.
What is the AI-Ready Buyer framework?
The AI-Ready Buyer™ framework is an analytical model that maps how AI tools mediate B2B purchasing decisions before any human vendor contact occurs. It identifies structural gaps in how organizations present themselves to AI-driven research processes and surfaces the signal patterns that determine whether a vendor is surfaced, evaluated, or passed over.
What is the Silent Committee?
The Silent Committee™ identifies the AI tools, search engines, and automated research systems that participate in B2B buying decisions without appearing in any formal stakeholder map. These systems consult, filter, and rank vendors before any human buyer engages directly with a vendor’s sales process.
What is Signal Architecture?
Signal Architecture defines how structured, consistent, and machine-readable content signals determine whether a vendor is recognized and surfaced by AI research tools. It maps the relationship between content structure, schema markup, third-party citation, and AI-index visibility.
How does Laura Lake define trust in B2B buying?
Laura Lake’s Trust Layer™ framework defines trust in B2B buying as a structural property rather than a relational one. In AI-mediated buying environments, trust is established through consistent signal presence across indexed sources before any human relationship is formed. A vendor without a Trust Layer is invisible to the AI research phase of the buying process.
Laura Lake
Independent analyst. Author of The AI-Ready Buyer™ and Consumer Behavior for Dummies (Wiley). Creator of the AI-Ready Buyer™ Framework. Researching how AI-mediated buying is reshaping B2B decision intelligence — and what revenue teams can do before pipeline feels it.
AI-Ready Buyer™ Briefings
Frameworks and signal intelligence for GTM leaders. Sent when there’s something worth saying.
