Most people build AI landing pages that look great and convert nobody. The fix is treating the page as a conversion machine, not a design project.
AI Landing Pages Video Guide
I built a real client landing page on camera, start to finish, and walk through the exact prompt and skill I used.
The page in this demo is for Bloom Chiropractic, a real business near Des Moines running Google Ads. Her ads were pointing at the homepage, which is the fastest way to burn ad spend. I rebuilt the destination as a single page designed to do one thing: get phone calls.
I give the landing page designer skill away free inside my AI Marketing Insiders community. If you want my full library of marketing skills, my Claude Code Skills Stack bundles the systems I run daily. Both come from a decade of real marketing work, not generic AI templates.
Why Most AI Landing Pages Fail
You can generate a landing page in 30 seconds with almost any tool now. That is the problem. Speed without a conversion framework gets you a pretty page that does not sell.
A landing page is not a website. A website lets people wander. A landing page removes every exit except the one action you want. When you are paying for traffic, every extra link, menu, or distraction costs you money.
I would rather build these in Claude Code or Codex than a vibe-coding tool like Lovable. Going straight to the source code gives me real control over the layout, the copy, and the tracking. SaaS page builders hide that control behind their own templates.
There is also a structural reason to own the code. When the page is just an index.html file and an assets folder, you can host it anywhere, edit any line, and move it between domains without rebuilding from scratch.
The Conversion Formula Behind Every Page
Here is the part nobody talks about. A skill is only as good as the framework inside it. My landing page designer skill runs on a fixed checklist before it writes a single line of code.
The formula has eight inputs:
- Offer: the one thing being sold or booked
- Audience: who the page is written for
- Primary CTA: the single action you want
- CTA destination: where that action sends them
- Proof: reviews, results, credentials
- Brand: colors, fonts, logo, voice
- Visual proof: photos that show the real business
- Asset: the files and context you provide
If you skip the brand assets, you get a generic page. I uploaded a folder with the logo, the brand guide, and real photos before prompting. Context is what separates a high-quality page from an obvious AI draft.
For the model, I used Opus 4.8 on low effort with thinking mode off. This task does not need high reasoning. Low effort keeps token costs down and the output is still production-ready.
Build for Paid Traffic, Not Search
Most AI landing page tutorials forget the part that actually matters for advertisers. A page running on Google or Facebook ads has rules a normal website does not.
First, add a noindex tag. The Bloom page lives on its own domain, so I do not want Google indexing it and competing with the real business website. This page exists for paid clicks only. Organic traffic is not the goal here.
Second, carry over the tracking pixels. I told Claude Code to pull the existing Google Ads tracking from the current site so conversions still fire. A landing page with no tracking is a page you cannot improve.
Third, match the conversion to the business. Bloom wanted phone calls, not form fills. So I set the phone number as the primary CTA and kept the existing contact form as a secondary path. You can run something like CallRail for call tracking if you want deeper data.
This is where owning the code pays off. Try carrying custom pixels and a noindex tag into a templated SaaS builder and you will hit a wall fast.
Getting the Page Live Without a Headache
A finished page on your laptop helps no one. You need it live on a real URL.
The short version: push the files to a free GitHub repository, then connect that repo to Cloudflare Pages or Vercel for free hosting. Cloudflare deploys the live site in about a minute once the repo is connected.
I keep the deploy steps tight here on purpose. I already wrote a full walkthrough of the GitHub-to-Cloudflare process in my guide on building landing pages with Claude Code, so follow that if you want every click.
One warning from experience. Do not run ads to a raw pages.dev or workers.dev URL. Ad platforms flag those domains constantly. Use a subdomain like skills.yoursite.com, or buy a cheap dedicated domain. For Bloom, I bought a separate domain and pointed it at the page.
What This Workflow Will Not Do
Honesty matters, so here is the limit. AI builds the page. It does not build the strategy.
The skill will not tell you what your offer should be, who your audience is, or whether phone calls beat form fills for your business. You bring the marketing thinking. The AI executes it cleanly and fast.
It also will not run your ads, write your offer, or split-test your headlines. Treat the page as the starting line, not the finish. The first draft I built was ready for production, though I would still fix a few small things by hand. That last polish is your judgment, not the model’s.
This same code-first approach works far beyond landing pages. If you want to see how flexible it gets, my breakdown of vibe coding a digital product shows the full range, and these landing page skills sit inside a broader library of Claude skills I use for client work.
Ryan’s Final Thoughts
AI landing pages are easy to generate and hard to convert. The difference is the framework underneath, not the tool on top. Lock your offer, your CTA, and your proof first, then let the AI build it in minutes. One of these pages now sells a digital product that has made me close to $10,000 on autopilot. Build for the click you are paying for, and the page earns its keep.
