gtm-ai-gtm

AI Product GTM is a go-to-market strategy knowledge skill for teams positioning and selling AI products, especially autonomous AI agents into enterprises. It packages field-tested patterns — not generic AI principles — around the specific friction points that stall AI deals: buyer fear of autonomy, accountability objections, and the challenge of pricing products whose usage varies wildly by customer. It solves the problem of AI teams treating organizational objections as product objections and losing deals they should win.

The skill is organized as a set of core frameworks. The "Accountability Cascade" reframes the real enterprise objection as "who is responsible when the agent does something wrong?" and gives L1/L2/L3 response, escalation, and ownership questions to qualify readiness. The "Copilot vs Agent vs Teammate" framework maps three positioning choices to distinct buyer psychologies and GTM motions, with concrete language to use and avoid (for example favoring "teammate" and "augments" over "autonomous" and "replaces"). A third framework addresses the AI pricing problem when usage varies 10x, contrasting seat-based and alternative models. Triggers include questions about positioning, breakage objections, autonomous-versus-copilot framing, and enterprise sales of AI tooling.

The target users are founders, product marketers, and sales leaders at AI agent platforms, LLM application companies, and AI infrastructure vendors. It is a text-only strategy reference distilled from experience selling autonomous agents into enterprises; use cases include repositioning a stalled deal, preparing enterprise sales conversations, and choosing pricing and framing for a new AI product.