B2BVault's summary of:

What GTM teams are doing with ChatGPT

Published by:
Growth Unhinged
Author:
Kyle Poyar

Introduction

GTM teams aren’t spreading AI work across dozens of tools - they’re going all in on ChatGPT for content, sales, and growth.

What's the problem it solves?

AI is everywhere, but most teams waste time switching between tools. GTM leaders are using ChatGPT as a single hub to speed up research, content creation, sales prep, and analysis - cutting hours of manual work while improving consistency.

Quick Summary

Kyle Poyar’s piece shows that ChatGPT has become the #1 AI tool in GTM teams’ stacks, beating out more specialized tools. Marketers, sales teams, and growth leaders are using it for everything from persona research and product positioning to paid spend analysis and sales call insights.

The article organizes 12 real-life use cases by GTM function and complexity. In marketing, ChatGPT is used to research new buyer personas, refine product messaging, grade sales collateral, create outlines from call transcripts, localize content for multiple markets, and build landing pages based on community feedback. In growth, it powers quick correlation analyses, personalized employee social posts, and automated prioritization of growth experiments. In sales, it personalizes event seating plans, prepares tailored briefs for prospect calls, and mines sales call data for R&D insights.

The key pattern is speed + context: teams feed ChatGPT rich, specific inputs (transcripts, briefs, ICP definitions, campaign data) and get back ready-to-use outputs that slot directly into campaigns, sales motions, or product work. Many workflows are automated with APIs and integrated into existing systems, making ChatGPT a daily operating tool rather than a side experiment.

Key Takeaways

  • GTM teams consolidate AI work in ChatGPT instead of juggling multiple niche tools
  • Best results come from high-quality, detailed inputs - generic prompts give weak outputs
  • Use cases span marketing, growth, and sales, with both quick hacks and full automation
  • Structured prompts help with research, positioning, grading, localization, and content building
  • ChatGPT speeds up repetitive work like call prep, analysis, and translation by 70%+
  • API and workflow tools (Zapier, n8n) make ChatGPT outputs instantly actionable
  • Automating recurring tasks builds consistent, scalable processes across teams

What to do

  • Audit where your GTM team repeats manual work weekly — target those for AI automation
  • Start with one or two high-impact use cases, like sales call prep or outline creation
  • Feed ChatGPT detailed, structured context (ICPs, tone guides, data sets) for better outputs
  • Use API integrations to push ChatGPT outputs directly into your CMS, CRM, or dashboards
  • Combine ChatGPT with monitoring tools to keep outputs relevant (e.g., citation drift, community topics)
  • Test and refine prompts regularly to maintain quality and brand voice
  • Track time saved and consistency gains to measure ROI of each workflow

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