Using AI to Enhance CRE Marketing
A year into heavy AI use, Josh and Dylan share their biggest lesson: use AI to enhance your marketing role, never to replace your own expertise.
AI should enhance your role, not replace it—it works best as an assistant guided by real expertise, not a substitute for it.
Detailed prompts and ongoing feedback loops dramatically improve AI's output quality over generic, one-off requests.
AI never says no and will confidently produce plausible-sounding but incorrect or generic content if you don't have the expertise to catch mistakes.
Different departments benefit from AI differently: account managers use it for meeting summaries and emails, paid media teams use it to surface patterns in campaign data, and strategists use it as a sounding board.
Over-reliance on AI risks losing hands-on skill and judgment—the goal is speed and support, not skipping the thinking process entirely.
AI should enhance a marketer's role rather than replace it, working best as an assistant guided by real expertise and detailed, ongoing feedback rather than a substitute for professional judgment.
Generic prompts produce generic, largely unusable answers; providing detailed context and specific feedback loops dramatically improves the quality and usefulness of AI-generated output.
Yes, AI never says no and will confidently produce plausible-sounding but incorrect or overly generic content, which only someone with real subject-matter expertise can reliably catch and correct.
For summarizing meeting notes, drafting emails, and building campaign briefs faster than doing each of those tasks entirely manually from scratch.
By surfacing patterns and insights across large volumes of campaign data, which is especially useful for less experienced team members who might otherwise miss meaningful trends.
You can end up presenting work you don't fully understand, leaving you unable to answer follow-up questions or catch errors in the underlying content.
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