Your customers are talking—are you really listening?

Welcome to Prompt, Tinker, Innovate—my AI playground. Each edition dives into a real-world use case, shows AI in action, and gives you a hands-on prompt to experiment with.

Your mission? Test the prompt. Tweak it. Prove (or break) the value for yourself. One experiment at a time, we’ll push past the hype into practical AI innovation.

This week’s playground: AI for social listening

What’s happening?

Your market is speaking. Just not to you.

They’re not filling out surveys or emailing feedback. They’re venting on Reddit, debating in comment threads, and writing G2 reviews that product, marketing, and CX teams rarely read—let alone act on.

And that’s a miss. Because while traditional feedback loops wait for hand-raisers, AI decodes the signals customers are already sending. It doesn’t just track sentiment—it reveals patterns, unmet needs, and emerging language that can give you an edge.

Why this matters

Imagine this:

A SaaS team pulls 300+ public posts from G2, Reddit, and niche communities. They feed that raw, unstructured feedback into ChatGPT.

The AI flags some expected pain points: setup complexity, delayed support, limited integrations.

But then, it spots a surprise: dozens of users describe the tool as a “plug-and-play replacement.” A phrase the company had never used in its messaging.

Intrigued, the team tests a new homepage CTA using that exact wording. After a few false starts, they land a variation that feels right—and it ends up lifting demo conversions by 22%.

That’s the kind of insight you miss when you only listen where it’s convenient.

Your AI experiment: Try this prompt

👉 Time to tinker: Drop the below prompt into ChatGPT, Claude, Gemini, Perplexity, or your favorite AI tool. For best results, upload screenshots or exports of Reddit threads, G2 reviews, blog comments, or community posts—anywhere your market is speaking in the wild.

No data on hand? Some AI tools can search the web for you—ask them to pull recent reviews or discussions about your product, brand, or category.

📝 Prompt: “You are a social insights analyst. Analyze recent conversations from Reddit, G2, community forums, and blog comments about [insert product, brand, or topic]. Identify:

1. Key themes and repeated frustrations

2. New or unusual language trends

3. Standout praise or feature love

Then deliver:

• 3 actionable insights

• 3 changes for product, marketing, or CX

• A SWOT-style summary for leadership”

💡 Pro tip: To get even more from this

• Ask it to compare power users vs. newbies

• Highlight language that signals urgency, confusion, or workarounds

• Follow up with: “How should we adapt our messaging or roadmap based on these findings?”

What did you discover?

Did AI surface patterns your team never discussed? Language you weren’t tracking? Let me know what surprised you.