AI-Driven Marketer podcast
Browse the complete archive of practical conversations and experiments for marketers building with AI.
Episode archive
Page 13 of 18
AI agents, automated design, and changing SEO all need the same filter: test what works, understand the limits, and keep human discernment in the workflow before scaling.
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ChatGPT now offers multiple models for different jobs. Choose by workflow: general multimodal work, editable Canvas documents, deliberate reasoning, or fast low-cost automation.
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Bot Bros turns fast-moving AI news into practical help for marketers through short conversations, tool tests, polls, and honest discussion of what matters each week.
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Google Notebook LM made it possible to prototype a research-heavy Marketing Legends podcast in three hours, but factual review remains essential before publishing for a high-trust brand.
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Canvas makes ChatGPT more useful for content marketing by keeping a working document visible while you direct focused revisions and preserve your editorial judgment.
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Build a focused CustomGPT around a repeated marketing job by defining when to use it, what it should do, what it should ask, and which reference material sets the standard.
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A useful AI stack is smaller than a tool directory. Commit to a general system, keep tools that solve real bottlenecks, and let repeated results decide what stays.
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Use AI to shape stories grounded in your real experience, connect them to the customer journey, and adapt them across marketing without flattening your voice or losing the human reason to care.
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The o1 preview model adds deliberate reasoning to ChatGPT. Use it for difficult marketing decisions, supply context, and keep human judgment in the loop when reviewing its recommendations.
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A practical framework for using AI at the constraint that matters most, from faster execution and better analysis to focused market choices and new possibilities.
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The most useful AI practice starts with ordinary problems. Explore how niche research, custom assistants, screenshots, images, and experiments build practical judgment.
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AI news can create hype and FOMO. I share the 2024 sources I used for curation and context, then explain why hands-on experiments matter more than simply following the headlines.
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