Landing Page Best Practices | HolyShift Docs
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Landing Page Best Practices

Landing Page Best Practices

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Get better results from the builder by giving it better inputs.

The AI landing page builder is only as good as the context you provide. These practices, learned from thousands of generated pages, will help you get a polished result faster with fewer rounds of editing.

Provide a detailed product description

The product description is the single most important input to the builder. Vague descriptions produce generic pages. Specific descriptions produce pages that sound like you wrote them yourself.

Weak: "A project management tool for teams."

Strong: "A lightweight project management tool for remote design teams of 5-15 people. It replaces the daily standup with async video updates and auto-generates weekly progress reports. Designers love it because it integrates with Figma and doesn't require them to learn another complex tool."

The strong version gives the AI your audience (remote design teams), your differentiator (replaces standups with async video), your integration story (Figma), and your positioning (lightweight, not complex). That's enough to generate a page that actually sounds like your product.

Reference your validation results

If you've run a validation in HolyShift, use it. Click Use validation data when starting a build and the AI will pull:

This isn't just a shortcut — it produces fundamentally better copy because it's grounded in real market signals rather than your assumptions about what sounds good.

Be specific about your target audience

"Small businesses" is not a target audience. "Solo accountants running their own practice who are drowning in manual bookkeeping" is. The more precisely you define who this page is for, the more precisely the AI can write to them.

Include details like:

Describe the feeling you want

Design presets handle the visual foundation, but the tone and energy of a page come from your description. Tell the builder what you're going for:

The AI adjusts headline style, copy length, CTA language, and section ordering based on these cues.

Iterate with the chat editor

The first generation is a starting point, not a final product. The best pages come from 3-5 rounds of refinement. Good editing prompts are specific:

Each round should focus on one or two changes. Trying to change everything at once produces worse results than focused, incremental edits.

Use social proof early

If you have any form of social proof — waitlist numbers, beta user quotes, advisor logos, press mentions — tell the builder about them. Social proof near the top of the page dramatically improves conversion rates. Even "Join 200+ founders on the waitlist" is better than no social proof at all.

Keep your CTA consistent

Pick one primary action you want visitors to take — sign up, join the waitlist, book a demo — and make sure every CTA on the page points to it. Multiple competing CTAs confuse visitors and reduce conversions. Tell the builder: "The only CTA should be 'Join the waitlist'" and it will enforce that across all sections.

FAQ

How many rounds of editing should I expect?

Most people are happy after 3-5 rounds. The first generation gets the structure and content right; the editing rounds dial in the tone, specifics, and visual details.

Should I always use my validation data?

If you have it, yes. Pages built from validation data consistently outperform pages built from descriptions alone because the copy is grounded in real market language.

Can I mix presets?

Not directly — each preset is a cohesive design system. But you can ask the chat editor to adjust specific elements (colors, fonts, spacing) after generating with a preset. The result may diverge from the original preset, which is fine.

What if I don't have a product description yet?

Start with your validation. If you haven't validated either, write the simplest possible description: what does it do, who is it for, what problem does it solve. You can always regenerate later when you have more clarity.

What's next

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