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Building high-converting landing pages with AI: a six-step system
Executive overview
Most developers charge thousands to build a landing page. This six-step system replaces them entirely — from research to live deployment — using only AI and two supporting tools.
The system works by feeding the AI four inputs at build time: a live best-practices playbook, your copy, brand guidelines scraped from an inspiration site, and a full-page screenshot. Output is a single deployable HTML file.
The core insight: AI produces dramatically better landing pages when given structured research, explicit copy, and real design inspiration — not a blank prompt.
The six-step system
- Ask the AI to research high-converting landing page best practices, specifying today's date to prevent outdated tactics from surfacing.
- Provide your product details and have the AI write copy only — no code yet. Review carefully before moving on.
- Scrape a design-inspiration site using Firecrawl with the "branding" output mode to get a JSON of fonts, colors, and button styles.
- Take a full-page screenshot of the same inspiration site (Chrome: Cmd+Shift+P → "Capture full size screenshot").
- Open a new chat, assign the AI an expert-developer role, and feed it all four inputs: playbook, copy, JSON branding file, screenshot. Request a single HTML file rendered in the artifact panel.
- Deploy via Netlify CLI from Cursor, letting AI handle the terminal commands after you authenticate once.
Research prompt details
- Include today's exact date in the prompt to anchor best practices to the current year.
- Allow the AI to surface areas beyond your stated interests ("feel free to include anything else").
- Request output as a markdown artifact/canvas so the playbook is reusable in later steps.
Copy generation
- Specify the product name, audience, price, and value proposition in the prompt.
- Explicitly instruct the AI to write text only — no code — or it will jump straight to building.
- Spend time reviewing the copy before proceeding; it is the highest-leverage element of the page.
Inspiration and branding
- Skip this step and the AI defaults to a generic template with no visual distinctiveness.
- Firecrawl: sign in, go to Playground, paste the URL, uncheck Markdown, check Branding, run scrape, download JSON.
- Full-page screenshot captures the complete visual reference; the top portion matters most.
Build and iteration
- Use the best available model with extended reasoning: Claude Opus 4.5, GPT-5.1, or Gemini 3 Pro.
- Do one to two iteration rounds inside the chat before switching tools.
- After two rounds, download the HTML and move to Cursor — keeping the conversation short preserves model intelligence.
- In Cursor, use the "Search element" mouse-box tool to highlight specific page sections before prompting, so the AI edits only the targeted code.
- Start a new Cursor chat every two to three edits to maintain output quality.
Deployment with Netlify
- Create a subdomain (e.g.
product.yourdomain.com) at your domain registrar; ask AI for a step-by-step guide, specifying your registrar and today's date. - Connect the subdomain inside Netlify, then from Cursor ask the AI to use the Netlify CLI to deploy the code directly to production.
- You authenticate once via terminal; the AI handles all remaining commands.
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