services / custom-landing-page

Custom Landing Page for marketplace products: The UX design Founder Playbook for a founder adding AI features before a launch.

You are adding AI features to a marketplace product, but the landing page still reads like a generic startup homepage.

The real problem before launch

You are adding AI features to a marketplace product, but the landing page still reads like a generic startup homepage.

That usually means the page is not doing its job: it is not explaining the new AI value fast enough, it is not handling buyer objections, and it is not converting traffic from ads, waitlists, demos, or founder-led outreach. If you ignore that, you do not just lose clicks. You burn ad spend, delay launch, weaken trust, and create more support load when people arrive confused about what the product actually does.

What This Sprint Actually Fixes

My Custom Landing Page service is a fast, conversion-focused page built from scratch, not a template I lightly edited.

That includes the full UX flow: hero section, features, social proof, pricing, objection handling, CTAs, waitlist or lead capture, mobile responsiveness, and the technical setup needed to ship cleanly.

This is not just design polish. I also handle the production details that usually break after a rushed AI build: Next.js or HTML/CSS implementation, Vercel deployment, custom domain setup, Cloudflare configuration, email provider hookup, analytics, heatmaps, Core Web Vitals checks, SEO metadata, sitemap generation, and structured data.

If your product was built in Lovable, Bolt, Cursor, v0, Framer, Webflow, or GoHighLevel and now needs to look credible before launch, this sprint is meant for that exact stage.

The Production Risks I Look For

A marketplace landing page has different UX risks than a simple SaaS page because you are often selling trust between two sides of a market.

1. Confusing value proposition If users cannot tell in 5 seconds who the product is for and what the AI feature changes, they bounce. I look for vague hero copy like "AI-powered marketplace" and replace it with one clear promise tied to buyer intent.

2. Broken trust signals Marketplaces need social proof early. If there are no testimonials, no usage numbers, no founder credibility cues, and no clear process explanation, people assume the product is too early or unsafe to use.

3. Weak mobile experience A lot of marketplace traffic comes from mobile links shared in DMs or social posts. If the CTA drops below the fold or forms are painful on small screens, your conversion rate gets hit hard before users ever see the product.

4. AI feature overclaiming Founders often oversell AI before launch. I check for claims that sound impressive but create support risk later: "automates everything," "fully autonomous," or "instant results." If users expect magic and get partial assistance instead of full automation, refunds and churn follow.

5. Form friction and data exposure Waitlists and lead capture forms can quietly collect too much data. I review field count, validation behavior, spam protection, consent language if needed for UK/EU traffic, and whether form submissions are routed through least-privilege tools rather than exposed admin inboxes.

6. Performance drag from heavy visuals Marketplace pages often use large hero videos, sliders, third-party scripts, or uncompressed images. That hurts LCP and INP fast. My target is usually sub-2.5s LCP on mobile and a Lighthouse score above 90 for performance on the final page.

7. Missing edge-case states A good landing page does not just have one happy path. It needs empty states for no testimonials yet, error states for failed form submits, loading states for async content, and fallback copy if analytics or embeds fail during launch week.

The Sprint Plan

I do this in phases so we can move fast without shipping something fragile.

Day 1: Audit and message map

I start by reviewing your current product, your AI feature, your competitors, and your acquisition channel.

Then I map the landing page around three questions:

  • Who is this for?
  • What problem does the AI feature solve?
  • Why should they trust you now?

If you already have a prototype in Cursor or Lovable, I will pull out whatever is useful and discard anything that adds clutter without improving conversion.

Day 2: UX structure and copy hierarchy

Next I design the information architecture of the page.

For marketplace products, the order matters:

  • Hero with one clear outcome
  • Feature blocks tied to user jobs
  • Social proof
  • Pricing or waitlist positioning
  • Objection handling
  • Final CTA

I also decide whether the primary conversion should be sign up, waitlist, demo request, or lead capture. If you choose the wrong action at this stage, you will get traffic but poor intent quality.

Day 3: Build and responsive implementation

I implement the page in Next.js or clean HTML/CSS depending on your stack and speed needs. For founders already using Framer or Webflow, I may recommend keeping marketing pages there only if performance stays strong; otherwise I move it into code so we can control Core Web Vitals properly.

This phase includes:

  • Responsive layouts
  • Accessible typography and contrast
  • Button hierarchy
  • Form behavior
  • Analytics events
  • Heatmap tracking setup

Day 4: QA and launch hardening

I test across mobile sizes, modern browsers, and common failure cases.

I check:

  • Form submission success/failure states
  • Broken links
  • Metadata preview cards
  • Schema markup validity
  • Cookie or consent behavior if relevant
  • Page speed on throttled mobile connections

If there is an AI claim on the page, I also red-team it lightly from a UX angle: does any copy imply capabilities your product does not yet have? Can a user misunderstand what data goes into the model? Does the flow invite unsafe expectations about automation?

Day 5: Deploy and hand off

I deploy to Vercel, connect your custom domain through Cloudflare where needed, wire up analytics and heatmaps, and verify that everything works after DNS propagation.

Then I hand over documentation so you can update copy without breaking layout. If you want ongoing iteration after launch data comes in, we can book a discovery call once this first version is live and measured properly.

What You Get at Handover

You are not just getting a pretty page. You are getting a launch-ready asset with measurable outputs.

Typical handover includes:

  • One custom landing page designed for your marketplace offer
  • Mobile-first responsive layout
  • Hero section written for conversion
  • Features section tailored to your AI differentiator
  • Social proof module
  • Pricing or waitlist module
  • Objection-handling section
  • CTA placements optimized for scroll depth
  • Next.js or HTML/CSS source files
  • Vercel deployment live in production
  • Custom domain connected through Cloudflare if needed
  • Email provider integration for lead capture
  • Analytics setup with event tracking
  • Heatmap tool installed
  • SEO metadata set up
  • Sitemap generated
  • Structured data added where relevant
  • Core Web Vitals review notes with performance targets
  • Basic QA checklist with pass/fail notes

I also give you practical guidance on what to watch after launch: conversion rate by traffic source, form completion rate, scroll depth, and which sections people ignore first. That matters more than pixel perfection because it tells us what to fix next week instead of guessing.

When You Should Not Buy This

Do not buy this sprint if any of these are true:

| Situation | Why it is a bad fit | |---|---| | You still do not know who pays first | The page will look polished but convert poorly | | Your core product flow is broken | Fix onboarding or checkout before marketing | | You need full brand strategy from scratch | This sprint is execution focused | | You want 10+ pages immediately | Start with one high-converting page first | | Your legal/compliance requirements are unresolved | Especially important if AI touches regulated data | | You have no offer yet | A landing page cannot save unclear positioning |

If you are earlier than this sprint allows, my advice is simple: write down one audience, one pain point, one promise, and one CTA. Then build a bare-bones DIY version in Framer or Webflow using one section per message. That gets you moving without wasting money on design before you know what converts.

Founder Decision Checklist

Answer yes or no to each question:

1. Can I explain my marketplace in one sentence without saying "AI-powered" first? 2. Do visitors know exactly what action I want them to take? 3. Is my mobile landing experience better than my desktop experience right now? 4. Do I have at least one credible trust signal ready? 5. Have I removed any claims my product cannot reliably deliver yet? 6. Is my waitlist or lead form short enough to finish in under 30 seconds? 7. Do I know which analytics events matter most after launch? 8. Would an investor or customer trust this page if they saw it today? 9. Is my current landing page slowing down due to heavy scripts or media? 10. Do I need this fixed in days rather than weeks?

If you answer "no" to three or more of those questions, you probably need this sprint before spending more on traffic.

References

1. Roadmap.sh UX Design: https://roadmap.sh/ux-design 2. Google Search Central - SEO Starter Guide: https://developers.google.com/search/docs/fundamentals/seo-starter-guide 3. web.dev - Core Web Vitals: https://web.dev/articles/vitals 4. W3C - WCAG Overview: https://www.w3.org/WAI/standards-guidelines/wcag/ 5. Vercel Docs - Deployment: https://vercel.com/docs

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Take the next step

If this is a problem in your product right now, here is what to do next:

  • [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.
  • [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*

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About the author

Cyprian Tinashe AaronsSenior Full Stack & AI Engineer

Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.