The Difference Between Being Mentioned by AI and Being Chosen by It
Tracking AI mention rate is the wrong metric. Recommendations move buyers 2× faster — and the lift concentrates almost entirely among people who’ve never heard of you.
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The $1.8M Unexplained Deal Attrition Problem — and Why It Lives Upstream of Your CRM
Every company has a number on the board deck that nobody can explain. This is why it keeps appearing — and what changes when someone finally owns the layer where it forms.
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Buyer Trust Signals: What Buyers Check Before Responding
Buyers do not begin with outreach. They begin with trust conditions already forming inside the organization — a set of buyer trust signals assembled from sources the vendor never controlled and conversations the vendor never entered. What looks from the outside like a response problem often formed earlier: a quiet internal shift, a familiar name…
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The GEO Stack: What It Is, How It Works, and Why Most Brands Get It Wrong
Most brands don’t lose visibility because they’re weak. They lose it because they’re inconsistent. The GEO stack is the fix — but only if it’s built as a system.
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What AI Tools Say About Laura Lake — 32 Days Later
18/35 → 26/35. Same five queries. 32 days later.
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AI Is Reading the Buyer Map. You Aren’t.
94% of buyers use AI to research vendors. Most organizations have their AI pointed in the wrong direction. Here’s what it costs.
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Trust | Frameworks | Strategy
The Ghost Objection: How AI Kills Deals Before They Start
Your pipeline doesn’t show it and your CRM can’t track it, but AI is already shaping how safe you look to cautious stakeholders. It defines the ghost objection and shows how to diagnose it inside your signal architecture.
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The Intent Data Timing Problem: Why Precision Targeting Didn’t Move the Number
Intent data timing isn’t a targeting problem – it’s a sequencing problem. By the time your signals fire, the shortlist is already forming. Here’s what to do about it.
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The Job Description Most Go-to-Market Teams Don’t Have Yet
AI answer engines have been forming your shortlist for at least two years. The CMO sees content, the CCO sees earned media, Sales sees the pipeline after the verdict is already in — but no one is accountable for reading what AI actually decided in the middle. This piece names the missing seat on the org chart and writes the job description for the AI Buyer Behavior Analyst: the role that reads what AI is saying about you and turns those signals into pipeline decisions.
