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AI in GTM: What’s Really Working in Practice with CMOs of Seismic, Sprout Social and Deepgram
- CMOs of Seismic, Deepgram, and Sprout Social shared their experiences implementing AI in sales and marketing.
- Only about 10% of teams effectively use AI, but those that do see significant productivity gains.
- Starting with 2-3 concrete use cases per team yields faster ROI than a company-wide rollout.
- Content velocity is crucial; one company increased daily clicks from 1k to 30k with AI-powered content.
- Key takeaways include hiring an AI consultant, focusing on tech-forward teams, and accelerating persona development.
- Common challenges include teams being 'too busy' for AI adoption and the need for explicit leadership support.
- Successful AI applications include content creation, sales intelligence, persona development, and competitive intelligence.
- The working playbook emphasizes starting small, getting expert help, and building the right infrastructure for AI implementation.
- Upcoming trends in AI in GTM include integration, skills gap, and maintaining quality at scale.
- AI is seen as a force multiplier, not a job replacer, with teams treating AI as a core competency for success.
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