Prompt Playbook: Leapfrogging Competitors using AI PART 2

In partnership with

Hey Prompt Entrepreneur,

Last month, I helped a client completely reverse-engineer their competitor's £5,000 coaching program.

Without buying it.

"How is that even possible?"

"Because successful offers tell their entire story on the sales page," I said. "You just need to know how to read between the lines."

Within 48 hours of systematic analysis, we'd mapped out their entire offer structure, identified three positioning angles they were using, and spotted gaps they'd left wide open.

Here's the thing: if someone's been selling the same offer for months or years, then chances are it works.

Anything that sustains for that long is worth emulating because it has a track record of working.

The market has validated it thousands of times over. These aren't fly-by-night launches—these are proven offers that convert consistently.

Today I'll show you how to extract their DNA from their sales pages alone. Like Jurassic Park but less dino incursions I promise. Well…maybe some.

Let’s get started:

The Test of Time Filter

First, let's be smart about what we analyse. You want offers that have been selling consistently for at least 6 months, preferably years.

Think of offers like Dickie Bush’s in the copywriting world. Or Dan Koe’s in the domain of online writing. Offers that have selling. And selling. And selling.

You need to find these winners in your niche.

How to spot them:

• They're always launching or (even better!) have it evergreen

• Testimonials span different time periods

• They keep the same core promise (minor tweaks only)

• They’ve just been around a long time and you know their name! (this is the simplest - you probably know someone like that in your niche.)

If they're still selling it, it's still working. These are the offers worth deconstructing.

Conversely, skip the brand new launches, the constant pivots, the "revolutionary new method" stuff. Find the boring offer that just keeps printing money.

The Current Sales Page

The sales page is where they've spent months (maybe years) optimising every word to convert visitors into buyers. It's their best pitch, refined by thousands of real customer interactions.

They’ve probably also spent thousands optimising the hell out of the page. Getting a bump of 0.5% conversion on a page like this amounts to tens or hundreds of thousands of extra revenue so you can bet they’ve invested in polishing the page.

But here's what most people do wrong: they skim it like a blog post. We need to read it like a detective examining evidence. We’re digging into it for stuff we can use. Hoard and study sales pages - they are gold dust.

The Systematic Scan

• Screenshot the entire page with a full-page capture tool. There are browser plugins or in Chrome open Inspector (right click on page>Inspector) and press Command + Shift + P then type “screenshot” to get a “capture full size screenshot" option right in Chrome.

• Download any videos and extract the scripts using NotebookLM or similar

• Copy all testimonials into a document (you can ask your AI to pull them from the screenshor or copy paste)

• Grab the entire FAQ section

We’ll be feeding all this initial intelligence into your AI project (from Part 1) to start building the foundation. Add it all as Project Knowledge.

The FAQ Goldmine

The FAQ section deserves special attention. This is pure gold—it's literally the questions real customers ask before buying. Every question represents a friction point, a doubt, a need for clarification.

The very fact that the sales page has a FAQ is to help answer those recurring questions. Super important!

If they have 20 questions about delivery format, that tells you customers care deeply about how they'll consume the content. If half the FAQs are about time commitment, you know their audience is busy and worried about overwhelm. Very useful.

Study these patterns:

• What topics dominate the FAQs? (main customer concerns)

• What's explained in detail vs glossed over? (confidence vs weakness)

• What guarantees or assurances appear? (risk reversal needs)

Reading the Tree Rings

You could run the below prompt with the data we’ve just collected and you’ll still get a really solid picture. But we can go a little deeper and look at what they’ve changed over time.

That current sales page? It's just the surface layer. Successful offers evolve, and their evolution tells you what actually works.

By seeing what experiments they’ve run and what changes occurred we can save ourselves a tonne of time. We don’t need to do those experiments because our competitors have (very kindly!) done them for us.

The Sitemap

Go to their domain and add /sitemap.xml at the end.

For example https://promptentrepreneur.beehiiv.com/sitemap.xml

leads to a page that looks like this:

This often reveals:

• Multiple versions of sales pages (salepage-v2, offer-2024)

• Hidden thank-you pages that detail what's included

• "Coming soon" pages for future offers (if published)

• Different landing pages for different traffic sources

Each variation reveals testing and optimisation. If they have /offer-fb and /offer-email, they're positioning differently for different audiences.

Have a dig around and see what you come up with. Alternatively feed the whole list into an AI and ask which you should look into for offer variations. Then follow the recommendations and grab the screenshots as before.

Time Travel

Another option is to look at past versions of the sales page(s).

Take the primary sales page and plug it into the Wayback Machine at archive.org.

Now you can see how their offer evolved over time:

• What features did they add? (customer demands)

• What did they remove? (didn't work or too complex)

• How did pricing change? (finding the sweet spot)

• How did positioning shift? (market evolution)

This historical view is like having access to years of their split tests and customer feedback. We can look at each new version and work out what they’ve done in-between. Or … because we are smart (lazy?) we can feed the variations into our project and let AI do the heavy lifting. Let’s do that.

The Extraction Framework

Feed everything into your AI project with this prompt:

I've collected sales page materials (current and historical) for a consistently successful offer. Help me reverse-engineer the complete offer structure from these pages.

Analyse everything to extract:

1. Core Offer Architecture
- What's definitely included based on descriptions
- Delivery format (self-paced, cohort, hybrid)
- Timeline and pacing promised
- Support level included

2. Value Stack Breakdown
- Main offer components
- Each bonus and its strategic purpose
- Price anchoring elements
- What features they emphasise most

3. Target Market Intelligence
- Who this is explicitly for (and not for)
- Skill level required
- Time commitment expected
- Resources needed to succeed

4. Transformation Promised
- Starting point of customer
- End result promised
- Timeline to achievement
- Success metrics mentioned

5. Strategic Insights
- What pain points get most attention
- What objections they preemptively handle
- What they DON'T promise (boundaries)
- How they differentiate from alternatives

Create a complete offer blueprint as if I needed to explain this offer to someone who's never seen it.

Once you have all the information stored in your Project you can ask a lot of questions about the offer. This prompt will get you started but I highly recommend digging deeper and holding a back and forth dialogue with your AI tool.

Yes, we’ll be pulling all this together at the end in Part 5 and having AI do the heavy lifting.

BUT it’s still very helpful for you to know and understand what you’ve competitor (and later you) are doing. And this will give you a crash course in best practices like no other.

Building Your Intelligence Asset

By the end of this process, you'll have their complete offer blueprint without spending a penny. But remember: we're not copying. We're understanding what works in your market so we can do it better.

Every insight you extract goes into your AI project. By Part 5, you'll have enough intelligence to engineer something that makes their offer look outdated.

Next we'll expand beyond the sales page itself to analyse HOW they sell it. We'll dive into their email sequences and ad campaigns to understand the psychological journey they take prospects through.

Keep Prompting,

Kyle

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