Define monetization strategy

Design your monetization system with the monetization and pricing AI agent. Use it to select the right model for your stage, design tier structures with clear upgrade pressure, find your value metric, and get a scored audit of your pricing page across six conversion pillars. Every recommendation is grounded in your product, customer, and competitive context.

Strategy

Must-have

Who is it for

Founders

Product Managers

Early-stage teams

AI Agent Capabilities & Scope

Select a monetization model for your stage and market
Design pricing tiers with clear upgrade pressure
Audit your pricing page across 6 conversion pillars
Fix packaging gaps, weak differentiators, and value messaging

Product Context Managed by Agent

Knowledge repository artifacts managed and maintained by agent:

monetization-strategy.md

pricing-tiers.md

pricing-page-audit.md

Starter Tasks to Get Started

Pick a pricing model
Audit my pricing page
Fix my tier structure
Find my value metric

Quick Prompts Examples

Simple conversation starters on how to initiate the proper context and goal fors AI agent:

We're a B2B SaaS at $15K MRR with a flat $49/month plan and 30% monthly churn. Help me redesign the pricing model to reduce churn and create a natural upgrade path.
Our free plan converts at 1.8% to paid and the Plus tier at $29 barely moves. Walk me through whether the problem is pricing, packaging, or activation, and tell me what to fix first.
Here is our pricing page URL: [paste URL]. Score it across Strategy, Information Architecture, Psychology, UX, and Trust. Give me the top 3 changes that would move conversion the most.

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