gtm-ai-gtm
A framework for go-to-market strategies for AI products, focusing on enterprise sales, positioning, pricing, and handling operational objections.
Is gtm-ai-gtm safe to install?
Safe to install: our audit of gtm-ai-gtm's source files found 0 shell commands, 0 external URLs, no file writes (none risk). Every command and URL listed appears verbatim in the skill's source. The skill provides strategic guidance and text-based frameworks. It does not execute code or perform network requests.
How we audit skills: our security review methodology.
Who is this skill for?
Founders, product managers, and sales teams selling AI agents or autonomous tools into enterprise environments.
What can you do with it?
- Positioning AI products as teammates rather than autonomous agents
- Handling enterprise objections regarding accountability and production failures
- Structuring pricing models for variable-cost AI usage
- Designing enterprise sales demos that demonstrate robustness and human control
- Qualifying enterprise buyers based on their operational maturity
How good is this skill?
Quality score: 5/10. The content provides clear, actionable frameworks for AI go-to-market strategy. It is well-structured and directly addresses common pitfalls in selling autonomous AI.
What does the skill file contain?
# AI Product GTM Go-to-market strategy for AI products. These aren't generic AI principles — they're patterns from selling autonomous AI agents into enterprises where "autonomous" scared buyers and "teammate" converted them. ## When to Use **Triggers:** - "How do we position this AI product?" - "Buyers say they're worried about AI breaking production" - "Should we call it autonomous or copilot?" - "How do we price AI when usage varies 10x by customer?" - "Enterprise security passed but ops rejected us — why?" **Context:** - AI agent platforms (coding, support, ops) - LLM-based applications...
Frequently asked questions
How should I position my AI product to enterprise buyers?
Position the product as an AI teammate that augments human work, rather than an autonomous agent that replaces humans. This framing emphasizes collaboration and human control.
What is the recommended pricing model for AI with variable usage?
Use a hybrid model consisting of a base fee to cover fixed costs and a variable fee tied to successful outcomes or actions to align with customer value.
How do I handle the objection regarding AI breaking production?
Shift the conversation to operational readiness. Ask the buyer who investigates errors, who owns incident response, and who decides on rollbacks to ensure they have processes for handling AI failures.
Should I show perfect AI performance in my sales demo?
No. Show the AI encountering an error, recovering, and requiring human review. This builds trust by demonstrating robustness and human control.
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