Find the signal
Map audience questions, AI answers, category language, account intent, and funnel friction.
The Discovery-to-Demand Playbook
Growth begins before the click.
A practical operating model for the era in which AI answers shape categories, buying committees move nonlinearly, and marketing performance depends on what happens after intent appears.
The model
One learning loop. Four decisions.
This is not a fixed funnel. It is a shared decision system that helps specialist teams coordinate without flattening their expertise.
Shape the journey
Define the segment, narrative, offer, channel mix, handoff, and measurement model.
Orchestrate the motion
Connect content, web, lifecycle, events, paid media, ABM, and Sales action.
Compound what works
Run disciplined tests, scale winners, codify playbooks, and improve the system.
Operating principles
What keeps the system honest.
Five guardrails for avoiding activity theater, dashboard theater, and AI-content theater.
Business questions before tool choices
Start with the decision the organization needs to make; select data and tooling in service of it.
Segment difference must change execution
If a segment definition does not alter audience, message, offer, journey, or motion, it is decoration.
AI visibility needs downstream accountability
Citations matter, but the growth system must connect discovery to qualified engagement and commercial outcomes.
Human expertise is the source material
AI-ready content should expose differentiated knowledge—not manufacture generic volume.
Playbooks follow evidence
Prove the mechanism hands-on, then standardize the winning pattern across teams and regions.