Week 34: Using AI to overhaul a marketing page

The Experiment

I had this important marketing page that wasn't converting cold traffic. You know the type—visitors would land, squint at it for a few seconds, then bounce. The page was supposed to explain a complex solution, but instead it was creating more questions than answers.

I wanted to transform this underperforming page into something that actually converted, without needing a full redesign or months of back-and-forth with designers. Could ChatGPT and v0 help me create a data-driven overhaul that the team would actually want to implement?

The Process

Here's how I tackled it:

1. Gathering the Evidence First, I collected everything I could get my hands on:

• Customer research from our support hub

• Intercom queries (the goldmine of "what are people actually confused about?")

• Scroll analysis and ecommerce funnel drop-offs

• Team feedback and upcoming test briefs

• Screenshots of the current page that was causing all the problems

2. The AI Detective Work I fed all this data into ChatGPT and asked it to play detective. Instead of just asking for suggestions, I made it:

• Cross-reference insights from different sources

• Rate each recommendation on a proof strength scale (★★★★★)

• Justify every change with actual evidence

• Write everything in "Insight → Action → Proof" format

3. The Iterative Dance This is where the magic happened. Rather than accepting ChatGPT's first attempt, I kept pushing it to:

• Check its own homework

• Loop back and validate recommendations

• Refine the messaging using actual customer language

• Build a coherent narrative based on winning testing of value proposition statements

4. Bringing It to Life I used v0 to create wireframes that matched the new content strategy. The combination of ChatGPT's strategic thinking and v0's visual execution meant I could present both the why and the what to the team.

The Outcome

After a day of back-and-forth iteration, I had:

• A prioritised insight list with supporting sources and ratings

• Section-by-section copy for both overview and features pages

• Updated above-the-fold brief with strategic CTA changes

• Implementation-ready wireframes

• A clear narrative that tied everything together

The best part? The team's reaction was "this is great preparation." This AI experiment delivered exactly what was needed; a comprehensive, evidence-backed plan that people actually wanted to implement.

Key Takeaway

AI tools like ChatGPT excel at synthesis and iteration when you make them check their work. The secret isn't accepting the first output—it's creating a feedback loop where the AI validates its own recommendations against your data. Combined with v0 for visualization, you can create compelling, actionable proposals that teams take seriously.

Pro Tips for AI-Driven CRO:

1. Make AI Grade Its Homework: Don't just ask for recommendations—ask for proof ratings and cross-source validation.

2. Use Real Customer Language: Feed actual customer queries and feedback into your prompts. The AI will mirror authentic language patterns.

3. Iterate on Strategy, Not Just Tactics: Push the AI to create overarching narratives, not just individual page improvements.

4. Combine Text and Visual: Use ChatGPT for strategic thinking and v0 for wireframes. Present both the logic and the execution.

Want to Try It Yourself?

• Start with ChatGPT for data synthesis and strategic recommendations

• Use v0 to visualize your content strategy

• Make the AI justify every recommendation with evidence

• Focus on iteration and validation rather than accepting first outputs

This wasn't about replacing human judgment—it was about using AI to create better, more thorough preparation for human decision-making.