A Deliberate Rep: Fixing AI's Generic Landing Page

Ask AI for landing-page copy and you'll get something that sounds like a landing page and sells nothing. Fluent, confident, generic. Here's a deliberate rep that turns that default sludge into copy a real customer would respond to.

The task, and the bar

You need a hero section for a B2B product. Before prompting, set the bar — the three criteria a sharp marketer would hold:

1. Leads with the customer's problem, not the product's features.
2. The core claim is specific and provable — no "revolutionary," "seamless," "next-generation."
3. One unambiguous call to action.

The vending-machine version

Prompt: "Write hero copy for our AI-powered analytics platform." The model delivers exactly what it always delivers:

Revolutionize your workflow with our seamless, AI-powered analytics platform. Unlock powerful insights and drive unprecedented growth. Get started today and transform your business!

Read it against the rubric: it leads with the product (fail); every claim is a banned adjective with nothing behind it (fail); "get started" and "transform your business" muddy the CTA (fail). 0 / 3. It feels like marketing, which is the trap — feeling like marketing is not the same as working.

The rep

Do it deliberately. Give the model the raw material it can't invent: the actual customer pain ("analysts spend two days a month hand-building the same board deck") and one real proof point ("teams cut that to an hour"). It improves — but it still opens with "Our platform empowers teams to…" and hedges the number into "save significant time."

Close the gap

The model can generate; it can't decide what matters. That's you:

• Flip to the problem first: open on the reader's pain, not your product.
• Make the claim specific and provable: replace "save significant time" with the real number.
• Cut to one CTA.

The result:

Your analysts lose two days a month rebuilding the same board deck. UofAi Analytics turns that into an hour — same numbers, same format, zero hand-assembly. See it on your data →

It names a problem the buyer feels, makes a claim they can check, and asks for exactly one thing.

What this rep proves

The model wrote the generic version and helped draft the good one — but the moves that made it convert were judgment calls it couldn't make: knowing the customer's real pain, refusing the empty adjective, choosing the single action. The AI's default voice is confident and generic. The rubric caught it; your understanding of the customer fixed it.

That's the capability worth proving — and the one that doesn't commoditize when everyone has the same model.

Run this rep on your own copy inside the method. Start free.

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Put this into practice

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