AI in marketing is more than content generation. Mike Montague breaks down four practical pillars: context engineering for authentic brand voice, predictive analytics that surfaces real buying signals, modern automation that scales follow up, and one-to-one personalization that speaks to a single customer at a time.
Key takeaways
-Use context engineering to train a custom GPT on founder interviews, sales talk tracks, and customer stories so content sounds like you.
-Predictive analytics reveals leading indicators such as life events and job changes that happen before a purchase.
-Tools span every budget, from simple social searches to platforms like HubSpot and 6sense for intent data and account trends.
-Automation is mature and useful when paired with good data, despite the hype around autonomous agents.
-Personalization at the individual level is now realistic and effective for small teams.
