I Spent 6 Months Building a Product AI Would Never Mention. Here's What I Learned.

Six months ago, I launched a product.

Beautiful landing page. Great onboarding. Real customers. Solid retention.

One problem: AI never mentioned it.

Not in ChatGPT. Not in Perplexity. Not in Gemini.

We were invisible. And I didn't know why.

So I spent the next 6 months reverse-engineering the answer. Here's what I learned.

🏗️ What I Built

The product was solid. Nothing revolutionary, but genuinely useful:

• Solved a real problem

• 4.8 stars on reviews

• 20% MoM growth

• Customers who found us, loved us

But "found us" was the problem. Organic discovery had flatlined. Referrals carried us. New users from search? Zero.

Then someone asked ChatGPT about our category. Screenshotted it. Sent it to me.

We weren't there.

Not #1. Not #2. Not #10. Nowhere.

🔍 What I Thought Mattered (It Didn't)

I was optimizing for humans. AI is not human.

📚 Lesson #1: AI Doesn't Read — It Extracts

Humans read your About page. They feel your brand voice. They appreciate the design.

AI does none of that.

AI scans your page looking for one thing: answers to specific questions.

If your page doesn't directly answer "what is the best tool for X" in a way AI can extract, you don't exist.

What I fixed:

I stopped writing clever marketing copy. Started writing direct answers.

📊 Lesson #2: AI Loves Comparisons — Even If You Lose

This one hurt.

I avoided mentioning competitors. Why give them free airtime?

Wrong move.

Every AI answer about your category includes comparisons. Always. If you don't provide the comparison, AI finds someone who does — and that someone might be your competitor.

What I fixed:

I created a comparison page against the market leader. Honest. Balanced. Including where they won.

One founder told me: "I was scared to compare. Turned out it was the only way to get cited."

🧠 Lesson #3: AI Can't Invent — You Must Give It Data

This was the biggest blind spot.

I assumed AI would know we were good. Our product spoke for itself.

AI doesn't know anything. It only repeats patterns it's seen.

If the pattern doesn't include your unique data point, it doesn't exist.

What I fixed:

I started publishing one original data point per month.

AI can't invent your data. If you don't publish it, it doesn't exist.

📈 The 6-Month Turnaround

The product didn't change. The content did.

🧪 The 30-Day Experiment (What I'd Do Differently)

If I could go back, here's exactly what I'd do in the first 30 days:

Week 1:

• List 10 questions customers actually ask

• Write direct answers (300 words each)

• Add them as FAQ sections

Week 2:

• Create one comparison page vs. biggest competitor

• Be honest. Include a table.

Week 3:

• Survey 50 customers (one question: "what almost stopped you?")

• Publish one data point from the answers

Week 4:

• Check AI mentions (or let Rankfender do it)

• Repeat what worked

🚀 How Rankfender Would Have Saved Me 6 Months

I built this playbook the hard way — by failing for half a year.

Rankfender now does this automatically:

RAIVE tells you exactly what questions AI is asking about your category — so you know what to answer.

RCGE v2.2 generates comparison pages and FAQ content based on your competitors and customer questions.

ROSE v1.0 scans your site and ensures every page is structured for AI extraction.

I wasted 6 months so you don't have to.

🎁 The Offer

Want to check if AI mentions your product?

DM me:

• Your domain

• Your top 2 competitors

I'll run a free AI visibility audit and send you:

• Every mention across ChatGPT, Perplexity, Gemini

• What questions you're answering (and missing)

• Your biggest content gap

First 20 DMs get it. No card. No catch.

👇 Your Turn

Three questions:

1. Have you checked if AI mentions your product?

2. What's one question you wish AI would answer about you?

3. Which of these 3 lessons hit closest to home?

Drop a comment. I read every one.

Imed Radhouani
Founder & CTO – Rankfender
Helping products get the AI visibility they deserve