Everyone's using ChatGPT for marketing. Almost nobody is using it well.

The mistake: treating AI like a faster intern. Prompt in, generic output out, light editing, post.

What actually works: using AI to compress research and decision loops that used to take hours.

Here are 3 things producing real results right now:

1. Competitor analysis in 10 minutes

Pull 3-5 competitor landing pages. Run them through a structured prompt: positioning angle, primary audience, value props, emotional hooks, and gaps. You'll surface patterns in 10 mins that used to take a full audit day.

2. Audience-specific ad variants

Stop writing one ad and hoping. Brief the AI on a specific segment (e.g., "solo DTC founder, $500K/yr revenue, running Meta ads, frustrated with rising CPMs") and generate 5 distinct angles targeting that exact person. Test them all.

3. Content repurposing pipelines

One long-form piece → structured prompt → 10 short-form assets with different hooks. This isn't just "summarize this." It's a disciplined template that preserves the insight while adapting the format. Saves 3+ hours every week.

We go deeper on all of this inside AI for Marketing — prompts, workflows, tool stacks, and a community of marketers sharing what's actually moving the needle.