The Digital Marketing Podcast · Daniel Rowles and Ciaran Rogers

AI Copywriting and Claude - A Copywriter's Guide to Getting the Best from AI

·37 min·2 clips

Kerry says the prompt matters before the tool, because vague prompts produce “pretty vanilla” copy.

Daniel frames the discussion around a familiar marketer problem: if you have already been using ChatGPT or Google Gemini for copywriting, what more can Claude offer? Kerry Harrison joins as someone who knows Claude well and also brings a copywriter's craft to the conversation, which gives the episode a practical edge from the start. They look at how Claude differs from other AI tools and how to get the most out of it, but the point is not that one model solves copywriting on its own. The point is that the tool you choose changes how you work through the task. Kerry lays out a simple approach to copywriting with AI. First comes the human thinking. Then comes the AI draft. Then comes the human again. She describes it as a sandwich, with the thinking outside and the AI in the middle. That framing keeps the copywriter in charge of the job. The episode spends real time on what happens after the model responds. Kerry is clear that fact-checking matters because hallucinations happen. She also talks about sense-checking the output, because something can look impressive on first read and still turn out thin, repetitive, or not quite deep enough on second read. That emphasis on slowing down and inspecting the work gives the episode a useful seriousness. She also asks a practical self-check: if she had created the piece from scratch, would it look anything like this? If not, that is a sign to go back and think about the problem again. The result is a focus on judgment rather than speed alone. The episode does make room for the thrill of getting a blog or outline back in seconds, but it does not treat that as the finish line. The conversation moves naturally between efficiency and craft. Kerry is happy to use AI for ideas, overviews, insights, and data analysis. She also makes clear that craft still matters at the end, because the writer has to decide whether the output feels right, sounds like it was made by a human, and actually solves the brief. The practical advice is aimed at people who want to use AI without flattening their voice. Daniel keeps the tone grounded and practical. He treats the topic as something working marketers need to apply, not admire from a distance. That keeps the discussion close to live problems: where to start, how to prompt, what to check, and how to tell whether the output is useful. It does not drift far into abstract AI theory. Kerry also brings in a personal note about balancing high-tech work with analog creative habits, including writing with pen and paper and spending time around a fire in an off-grid retreat setting. That contrast reinforces the episode's main idea that good output still depends on human judgment, human taste, and human context. The episode ends with the idea that these two worlds belong together. AI can be fast, broad, and helpful. Human craft gives the result shape. Neither side is enough on its own. The discussion is practical, a little restless, and rooted in the realities of modern copywriting.

As heard by us

A grounded guide to using AI for copywriting without switching off judgment.

Daniel Rowles and Kerry Harrison keep this one practical. Claude is treated less like a novelty and more like a working tool: set the problem, let the model do the middle stretch, then check the result with a human eye for facts, sense, and craft.

Read the full review in PlayNext →

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Want better AI copy without losing the human part of the process?

Read the full recommendation in PlayNext →

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