-

Hey Marketing Bestie,

F1 season is BACK and I'm already stressed.

Didn't even get to see the 2 McLarens race because Oscar crashed before the lights went out.

AND to make things worse - Mercedes and Ferrari both looked genuinely fast this weekend. Which is fine. I'm fine. (I'm not fine.)

The only silver lining...I'd actually be ok with George or Kimi taking the title this year.

Are you an F1 fan? Reply and let me know.

Was this email forwarded to you?

Subscribe Here

AI social listening workflow

Nobody talks about comments like they're a strategy. They should be.

TikTok comments. Reddit threads. "Should I buy this?" posts. "I regret buying this" posts. That's your customer telling you exactly what they want, what they don't trust, what almost convinced them, and what made them bounce.

You shouldn't be ignoring it.

Here's how to turn social listening into an actual AI research system.

STEP 1️⃣: Pick 1 lane to start

Don't boil the ocean. Pick a specific target.

A product. A competitor. A use case. A buying moment. A trend.

The more specific your starting point, the sharper your output. Vague inputs = vague insights.

STEP 2️⃣: Pull 200-400 posts, videos, or threads

And please, not just the viral stuff. Everyone's already seen that.

You want the full messy picture. The glowing reviews AND the "I really wanted to love this but..." ones. The high engagement posts AND the quiet threads where 3 people had a very honest conversation at 2am.

The viral stuff tells you what spreads. The non-viral stuff tells you what's TRUE.

We're going for patterns (not peaks).

STEP 3️⃣: Read the comments. No seriously. THE COMMENTS.

The post is the surface. The comments are where people stop performing and start talking.

Have AI dig through and extract:

- The complaints people keep repeating (in their exact words...this matters)
- The thing they desperately want that nobody seems to offer
- The objections that keep showing up before purchase
- Why people left a competitor
- The emotional language around trust, frustration, excitement
- What hooks actually made them stop scrolling

This is where you find out that what you THINK your customers care about and what they ACTUALLY care about are 2 very different things.

STEP 4️⃣: Turn the patterns into something useful

Once AI clusters the data, you've got ammunition for basically everything.

Ad angles. Organic content. Landing page copy. Creator briefs. Sales objection handling.

And my personal favorite output...the "what we should STOP saying" list.

Because sometimes the move isn't better messaging. It's killing the messaging that's been quietly working against you.

STEP 5️⃣: Validate before you blow anything up

AI gives you hypotheses. Not a mandate.

Before you redesign your entire positioning because one Reddit thread went off.

Check if it shows up across multiple platforms, multiple creators, multiple conversation types. Does it match your reviews? Support tickets? Sales calls?

If it's everywhere, it's real. If it's 1 loud thread, it's a data point. Not a direction.

The prompt that does the heavy lifting

"Analyze this dataset of [platform] content and comments about [topic]. Identify recurring pain points, desired outcomes, purchase triggers, reasons for hesitation, brands mentioned most, claims people distrust, and best-performing hooks. Then turn findings into 10 ad angles, 10 content ideas, 5 positioning recommendations, 5 landing page headlines, and 5 product improvement opportunities."

{ad_content_secondary}

MEME OF THE WEEK