Everything is built from interviews with your experts and the materials you already have: RFP responses, implementation guides, messaging docs, demo recordings, sales call transcripts. Anything I can't confirm gets flagged for you to review and approve, so we land on one source of truth.
Product Brief. What the product does, who it serves, the problems it solves, how it works, features, proof, differentiation, integrations, implementation, and a glossary.
Approved Claims Guardrail. Exactly what your team can say, what needs a qualifier, what needs proof, and what to avoid, each tied to a source, so nobody has to guess what's safe.
Buyer Persona Profile. A deep profile of your primary buyer: their goals, pains, how they buy, the words they use, plus an AI instruction block so your tools write for that buyer in their own language.
Stakeholder Messaging Guide. Messaging lenses for the rest of the buying committee, so you can speak to each person weighing in on the deal.
Use-Case Message Map. Your priority go-to-market use cases, each connecting a buyer pain to a capability, a message angle, and the claims to use or avoid.
Activation Guide. A short playbook for putting the kit to work in week one: where to load the files, starter prompts, and simple do/don't rules.
Maintenance Guide. How and when to update the kit as the product changes, so your source of truth stays current.
A polished version your team can read. Formatted as a Google or Word doc, ready to share, skim, and onboard new hires and agencies from.
An AI-ready markdown file. Drop it into Claude, ChatGPT, Copilot, or any AI tool. The same content, structured so machines can use it.
Product pages, campaigns, and thought leadership that reflect how your product works. First drafts you edit, not completely rewrite.
Talk tracks, objection handling, discovery questions, and battlecards grounded in real product knowledge, so Sales gets output they'd actually send.
Your site, decks, onboarding, and AI tools all tell the same story, no matter who's writing.
Emails, ads, and enablement tailored to each buyer, because your tools finally know the difference between what a decision-maker cares about and what an end user needs to hear.
You stop re-explaining your product and buyers in every new chat and every new hire's first week. Build the foundation once, instead of starting from zero every time.
Fair. You've been burned by "resources" nobody opens twice, or spent hours building decks no one looks at again. I've been there!
So don't just take my word on the depth. I built a sample kit for a fictional company called Axonos so you can see exactly what you'd get.
These are the 5 core deliverables included in every kit. Each one shows the format, depth, and sourcing you can expect in your AI Context Kit™.
Open the full Axonos sample kit below. It's ready to read now — no need to wait on your inbox.
Open the sample kit →More answers on the FAQ page.
All of them. Everything ships as structured markdown you can load as project context into Claude, ChatGPT, Gemini, Copilot, or any other LLM or AI marketing tool. Every kit comes with an Activation Guide for setup and use. Most teams start by creating a Claude Project or custom GPT with the kit files, either uploaded directly or connected through a shared GitHub repository, and see the difference on the first prompt.
Your first product is $3,500, and each additional product is 10% off. Each product needs its own expert interview, because the knowledge base has to be specific to that product to be useful. I'd start with one, your most complex or most neglected, and add more when you're ready.
The hard part is extraction: getting the knowledge out of your expert's head and structured for the first time. Once the foundation exists, keeping it current is lighter, routine work. Assign an owner, fold updates into your release rhythm, and keep a changelog so everyone knows what's current. Every kit ships with a Maintenance Guide that covers exactly this: what to update, when to update it, and how to keep the source of truth from drifting.