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AI Product GTM

porgithub·github· v1.0.0 · atualizado em 2026-04-10
82
Score

Go-to-market strategy for AI products. Use when positioning AI products, handling "who is responsible when it breaks" objections, pricing variable-cost AI, choosing between copilot/agent/teammate framing, or selling autonomous tools into enterprises.

go-to-market-strategyai-product-positioningenterprise-salesai-adoptionobjection-handlingai-pricingautonomous-agents
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Documento do Skill

SKILL.mdgtm-ai-gtm/workflow
1
Identify the core objection: — Determine if the concern is about AI breaking or about accountability.
2
Assess organizational readiness: — Evaluate the enterprise's incident response processes and culture.
3
Choose the right framing: — Select copilot, agent, or teammate based on autonomy and target audience.
4
Adjust positioning: — Use language that emphasizes collaboration and control.
5
Demo failure modes: — Show how the AI handles errors and how the team responds.
6
Map to runbooks: — Integrate AI failures into existing incident response plans.

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Árvore do Skill

AI Product GTM
gtm-ai-gtm
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.RECOMMEND
5.ACT
Triggers10
How do we position this AI product?Buyers are worried about AI breaking production.Should we call it autonomous or copilot?How do we price AI with variable usage?Why did ops reject us after security approval?Develop a go-to-market strategy for an AI agent.Address concerns about AI accountability in enterprise settings.Choose the right framing for an AI product: copilot, agent, or teammate.Sell autonomous AI tools into enterprises.Handle objections related to AI failures in production.

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Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança49%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download gtm-ai-gtm
$ synaptic skills detail gtm-ai-gtm
$ synaptic skills live gtm-ai-gtm

Links

GitHub Repository