
AI Pricing Models Explained: Usage, Seats, Credits, and Outcome-Based Options
Breaks down usage, seat, credit, and outcome-based AI pricing, their trade-offs, and how to combine models to match customer value.
Lillian Pierson, P.E., fractional CMO and growth strategist, engineers marketing systems that drive predictable growth for tech startups. With a professional engineering license and 20 years of experience driving growth for Fortune 100 and early-stage companies alike, she bridges product and growth marketing to drive real boots-on-the-ground traction. She's trained 2M+ professionals in AI and data, grown organic channels to 750K+ followers, and authored 11 books including Data Science For Dummies. Lillian helps VC-backed and bootstrapped founders (pre-revenue to $6M ARR) scale through structured playbooks and data-driven systems.

Breaks down usage, seat, credit, and outcome-based AI pricing, their trade-offs, and how to combine models to match customer value.

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