Marketing resources for AI product founders
I put this page together for founders selling an AI product. In my view, AI buyers want proof on their own data and clear answers on accuracy and data use, and the price has to survive the heaviest users. These are the AAJ resources that help with that: pricing against inference cost, checking claims before they go live, and answering security and data-use questions. Start with the playbook, then run your own numbers.
Learn the method
- Marketing AI Products Playbook — Position, prove, price and sell an AI product, and keep your AI claims on the right side of regulators. (from Industry Playbooks)
- SaaS Pricing & Packaging Playbook — Pick a value metric, build tiers that ladder and anchor, and price to value. (from Pricing & Monetization)
Run the numbers
- AI Inference Cost Modeler — Inference cost per user and all-in margin per paid account at normal and spike usage, with break-even price and the levers that move margin. (from Pricing & Monetization)
- Claims & Proof Checker — Flag every claim in your copy that needs proof or consent, with what to keep on file and the regulator's own guidance. (from Website & Conversion)
- Pricing & ARPU Modeler — Model SaaS tiers: blended ARPU, revenue mix, price-ladder multiples and top-tier anchoring. (from Pricing & Monetization)
Build it
- The Security Questionnaire Answer Library — Log every security questionnaire, keep one approved answer per question with its evidence and owner, and reply on time. (from Sales & Pipeline)
- The AI Tool Policy for Marketing — Approved tools by task, what never goes into a prompt, and a named review gate before anything publishes. (from Marketing Ops, AI & Team)
Run it with your AI agent
- AI Inference Cost & Usage Pricing — Checks that an AI plan's price still covers inference when usage spikes. (from Pricing & Monetization)
- Claims & Proof Check — Check copy sentence by sentence for claims that need proof or consent, with regulator guidance links. (from Website & Conversion)
- Pricing & Packaging — Design tiers and price points and model ARPU. (from Pricing & Monetization)
Read the research
- How to Market an AI Product — Six steps to market an AI product when every product says it has AI. (from Industry Playbooks)
- How to Market to Developers — Five steps to market an API, SDK or AI tool to developers: first call, docs, one place, adoption. (from Industry Playbooks)
- How to Make Security a Selling Point — Five steps to turn security reviews into a sales asset: data-use answer, trust page, SOC 2 decision, questionnaires, true claims. (from Industry Playbooks)