AI Marketing Engineer at The Viable Edge

Your AI output sounds generic because your tools don't know who you are. Every prompt re-explains the company from scratch, so the LinkedIn post, the email, and the landing page each describe a slightly different business. Better prompts don't fix that. A brand knowledge base does.
In one working session we build the full set: positioning, ideal customers, voice and tone, messaging framework, competitors, differentiation, and company profile. Not templates with blanks. Your documents, drafted from your website and your inputs, edited live, and loaded into Claude, ChatGPT, or your agents before we finish.
This is the same system I build for clients every week, and the one behind Brand Architect. You leave with a folder of seven files that any AI tool reads before it writes, and a method for keeping them current when the market moves.
If you attended the free lesson, this is the other six documents. If you didn't, the replay is included so you can catch up before we start.
Walk out with a complete brand knowledge base your AI tools read before they write, built for your company, not a template.
Positioning, ideal customers, voice and tone, messaging, competitors, differentiation, company profile, each drafted from your own site
The one question that unlocks each document, and the order that makes each one feed the next
Claude Projects, ChatGPT custom instructions, a system prompt for your agents, or a live MCP connection through Brand Architect
Run the same prompt before and after so you can see the drift disappear on your own content
Which documents go stale first (competitors, company profile) and the monthly review that takes 20 minutes
How to let a market-watch agent propose the edits so nothing changes without your approval
Run the drift audit on your own AI output, then draft the two documents everything else depends on, pulled from your website and corrected live.
Build the customer segments from your best accounts, then write the voice doc by contrasting your best and worst copy. Do and don't lists included.
Three message pillars with proof, the objections you hear most, named competitors and the workarounds people use instead, then the differentiation doc that stops AI drafts reading like the category.
Load the seven files into Claude, ChatGPT, or your agents, run the before-and-after on your own content, and set up the monthly review and market-watch so the base never goes stale.

AI Marketing Engineer at The Viable Edge
Marketing leads and founders whose AI output sounds like everyone else's and who want the fix at the source, not in the prompt
Agency owners and freelancers who onboard a new brand every month and need a repeatable way to hand AI tools the full picture on day one
Operators building agents or automations who keep hard-coding brand context into prompts and want one source of truth instead

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