Generative AI

Generative AI uses machine learning models to create new, original content—text, images, audio, video, or code. Unlike traditional AI that analyzes or classifies existing data, generative AI produces new outputs based on patterns learned from training data.
Popular Examples
- Text: ChatGPT, Claude, Gemini—generating written content, code, analysis
- Images: Midjourney, DALL-E, Stable Diffusion—creating visuals from text prompts
- Audio: ElevenLabs, Speechify—voice generation and cloning
- Video: Runway, Synthesia—video generation and editing
B2B Marketing Applications
Teams use generative AI to draft email campaigns, create ad variations, write blog posts, generate social media content, produce product images, personalize sales messaging at scale, and even create training materials—dramatically accelerating content production.
LEARN
AI x GTM Glossary
Understand person-level ID, intent data, signal-based segments, and key GTM terms with clear, practical definitions.

VIDEO SERIES
AI x GTM Talks
Watch industry experts discuss signal-based outbound, person-level identification, and modern GTM strategies with real practitioners.

OUR BLOG
Latest on Buyer Identity and Signal-Based GTM
Strategies, insights, and best practices for person-level visitor identification and AI-powered go-to-market.



