Cursor AI Prompt Examples for Landing Page Code Snippets: Step-by-Step Guide

Most Cursor AI prompt examples for landing page code snippets fail for the same reason: they say "build a hero section" and leave the framework, styling system, accessibility needs and file context to chance. You then get a div soup with inline styles that does not match your project. This guide is for front-end and full-stack developers, and for technical founders, who want Cursor to produce snippets that drop into an existing codebase and survive code review. Every prompt is a chat message you can paste into Cursor, filled in with realistic specifics and marked with [BRACKETS] where you swap in your own.

Where Cursor helps and where it does not

Cursor is an AI-assisted code editor: you can chat about your code, reference files and folders in the prompt, and ask for edits across the project. Its strength is context. A prompt that points at your real components and conventions gets output that matches them. Its limits are the usual ones for AI code: it can invent APIs, use outdated library syntax, skip accessibility, and write code that looks right but fails an edge case. Check the tool's current features and limits, and always review and test what it writes. Treat generated code like a pull request from a fast junior colleague.

Security notes that apply to every snippet below: validate and sanitise all form input on the server as well as the client, never put secrets in client code, and do not paste real credentials or customer data into prompts.

The prompt formula for code snippets

1. Stack and versions: language, framework, styling, package versions.
2. Context: which files or components to follow (reference them in Cursor).
3. Task: one section or behaviour per prompt.
4. Constraints: accessibility, performance, no new dependencies.
5. Edge cases: empty, error, slow network, small screens.
6. Output format: which files to create or change, and whether to include tests.
7. Avoid list: inline styles, deprecated APIs, unrequested refactors.

Scenario 1: Nadia's SaaS launch page

Nadia is a developer launching a small invoicing tool. The site uses Next.js 14 with the App Router, TypeScript and Tailwind CSS. She needs the page sections built to match her existing design tokens.

Cursor prompts for hero and feature sections

Context: Next.js 14 App Router, TypeScript strict mode, Tailwind CSS. Follow the conventions in @components/ui/Button.tsx and tailwind.config.ts (colour tokens: brand, ink, surface).
Task: create components/landing/Hero.tsx, a server component with a headline, a one-sentence subheading, a primary button linking to /signup and a secondary text link to #pricing.
Constraints: mobile-first; single h1 only; the heading text and CTA labels come in as props with the defaults "Invoices that chase themselves" and "Start free"; use the existing Button component; no new dependencies; no inline styles; keep the layout stable (no layout shift) and give the hero image placeholder explicit width and height.
Output: the full file plus a short list of the Tailwind classes you used for the breakpoints. Do not modify other files.

Why it works: referencing real files makes Cursor reuse your Button and tokens, and the "do not modify other files" line keeps the change small. What to expect / check: a typed component with props; check it truly uses your Button and that there is one h1. Iterate: "Now add a variant prop 'centered' | 'split' and keep defaults unchanged."

In @components/landing/ create FeatureGrid.tsx (server component, TypeScript, Tailwind). Input: an array of { icon: ReactNode; title: string; description: string } with exactly 6 items allowed (enforce with a tuple type). Layout: 1 column below 640px, 2 columns up to 1024px, 3 columns above. Each card must be semantic (an article with a heading level h3, since the section already has an h2). Accessible: icons are decorative (aria-hidden). No animation libraries. Add a short usage example in a comment at the top of the file.

Why it works: a tuple type and heading-level instruction show the kind of detail that prevents rework. What to expect / check: correct breakpoints and heading levels; check the TypeScript compiles. Iterate: "Add a unit test with React Testing Library that checks six cards render with h3 headings."

Create components/landing/PricingTable.tsx for three plans (Starter, Team, Business). Use a plans array defined in lib/plans.ts, which you should also create, with fields: id, name, monthlyPrice (number), features (string[]), highlighted (boolean). Display prices using Intl.NumberFormat with the currency passed as a prop. Highlight the plan marked highlighted with a visible border, not colour alone. Do not hard-code any prices in the component; use the placeholder values 0, 19 and 49 in lib/plans.ts and add a comment that they are examples. Include a toggle for monthly/yearly only if it needs no new library; otherwise omit it.

Why it works: separating data from layout makes the snippet maintainable, and the placeholder note avoids shipping fake pricing. What to expect / check: prices must be replaced with your real ones. Iterate: "Add a yearly toggle with a 20% discount computed from monthlyPrice, with a visually hidden live region announcing price changes."

Scenario 2: Marcus's email capture form

Marcus runs a plumbing-supply newsletter. He needs a signup form on a landing page that posts to his own API route.

Cursor prompts for forms and server handling

Build a newsletter signup form for a Next.js 14 App Router project (TypeScript). Files: components/landing/SignupForm.tsx (client component) and app/api/subscribe/route.ts (POST handler).
Client: one email field with a visible label, inline error text linked with aria-describedby, a submit button that disables while pending, and success and failure states announced via role="status". 
Server: validate with zod (already installed), reject non-JSON bodies with 400, normalise email to lowercase, return JSON { ok: boolean, message: string }, never echo user input back in the message. Add a simple honeypot field named "company" and silently return success if it is filled. Do not implement sending or storage; add a clearly marked TODO where the email provider call goes. No secrets in client code.

Why it works: it separates client and server responsibilities and states security expectations. What to expect / check: zod usage matches your installed version; the honeypot is only a mild bot deterrent, not real protection, so consider rate limiting and your provider's built-in checks. Iterate: "Add rate limiting by IP using a small in-memory map, and explain its limits when deployed on serverless."

Review @components/landing/SignupForm.tsx and @app/api/subscribe/route.ts as a security-minded reviewer. List concrete problems in a table: severity, file and line, issue, suggested fix. Check specifically: missing server-side validation, error messages that leak internals, absent rate limiting, CSRF considerations for this endpoint, and accessibility problems with the form states. Do not rewrite the files yet; report only.

Why it works: a review-only prompt separates finding problems from changing code. What to expect / check: some points will be generic; verify each against the code. Iterate: "Apply only the high-severity fixes and show the diff."

Write Playwright tests for the signup form in tests/signup.spec.ts. Cases: empty email shows an error and focus moves to the field; malformed email shows an error; valid email shows the success message (mock the /api/subscribe response); server 500 shows the failure message; the form is operable by keyboard only. Use accessible locators (getByRole, getByLabel), no arbitrary timeouts.

Why it works: it lists exact cases and locators, which makes tests meaningful. What to expect / check: run them; confirm they fail when you break the form. Iterate: "Add a test for a double-submit and make the form prevent it."

Scenario 3: Aiko's page speed pass

Aiko's marketing page scores poorly on mobile, and she needs targeted fixes rather than a rewrite.

Prompts for performance and accessibility on landing pages

Audit @app/page.tsx and the components it imports for performance problems on a mobile connection. Focus on: images without dimensions, missing next/image usage, client components that could be server components, third-party scripts loaded eagerly, and fonts causing layout shift. Output a prioritised list with the file, the problem and a code change for each. Do not make assumptions about metrics I have not given you; I will measure before and after with Lighthouse and the browser's performance tools.

Why it works: it limits scope and tells the model not to invent numbers. What to expect / check: plausible issues; verify with real measurements. Iterate: "Implement fix 1 and 2 only, and explain how to verify each."

Review the landing page components in @components/landing for accessibility against WCAG 2.2 AA. List issues with the component, the criterion, and a fix: colour contrast based on the Tailwind tokens in tailwind.config.ts, focus visibility, heading order, link text that says only "click here", and motion that ignores prefers-reduced-motion. Mark anything you cannot verify without rendering as "needs manual check".

Why it works: the "needs manual check" instruction admits the limits of static review. What to expect / check: treat the list as a starting point, not a certification. Iterate: "Fix heading order and focus styles, and show me the diff."

Worked example: weak to strong

Prompt 1: "Make me a landing page hero with a form."

Typical result: a single large component with inline styles, hard-coded text, a fake form that does nothing, and a div as a button. No types, no accessibility, and styling that ignores your tokens.

Prompt 2: "Context: Next.js 14, TypeScript, Tailwind. Follow @components/ui/Button.tsx. Create Hero.tsx as a server component with props for heading and CTA, one h1, no inline styles, no new dependencies. Create SignupForm.tsx as a client component posting to /api/subscribe with a labelled input and role=status messages."

Why it is better: named stack, reused files, two small components, and constraints that reflect what a reviewer checks.

An end-to-end workflow

Step 1, structure: Given @app/page.tsx and @tailwind.config.ts, propose the section order for a landing page selling [PRODUCT] to [AUDIENCE], and the component file list. No code yet.

Step 2, build sections: Create [COMPONENT] following the conventions in [REFERENCE FILE]. Constraints: [LIST]. Output only that file.

Step 3, wire the form: Add the signup form and API route with server validation and a TODO for the provider call.

Step 4, tests: Write tests for [COMPONENT] covering states, keyboard use and failures.

Step 5, review: Act as a code reviewer for the diff. List bugs, accessibility gaps, security concerns and unnecessary dependencies.

Troubleshooting

| Problem | Likely cause | Fix | |—|—|—| | Output ignores your style | No file context | Reference your components and config in the prompt | | Uses outdated syntax | Version not stated | State the framework and library versions | | Changes unrelated files | Open-ended scope | Add "modify only these files" | | Fake form logic | No behaviour spec | Describe states, endpoints and errors | | Invented package or API | Model guessing | Ask it to use only installed dependencies; check the docs | | Passing tests that prove nothing | Vague test request | List cases and require failing-first checks |

Review checklist

• Does it compile, lint and pass your tests?
• Are all dependencies real, installed and necessary?
• Is user input validated and escaped on the server?
• Are there any secrets, tokens or personal data in the code or prompt?
• Is the page keyboard-operable with visible focus and a sensible heading order?
• Have you measured performance yourself?
• Are licences and cookie or consent requirements for any third-party script checked?

FAQ

Should I paste my whole project into the prompt?

No. Reference the specific files that define your conventions and keep each request to one component or behaviour.

Can Cursor write the whole landing page in one go?

It can try, but the quality drops as scope grows. Section-by-section prompts are easier to review.

Does it matter which model I pick in Cursor?

Model choices change often; check what your plan offers and compare on one real component.

How do I keep generated code consistent across sessions?

Put your stack, conventions and avoid-list into the project's rules file if your Cursor version supports one, and check the current documentation for how it works.

What about the copy itself?

Draft headline and body text separately. For product copy, see our business proposal prompts, and for site structure with a hosting builder, see Hostinger AI prompts for local service sites.

Conclusion

Cursor rewards context and constraint. Name the stack, point at your files, ask for one section at a time, and review every diff like a teammate's pull request. Start with the Hero prompt, then build the form and tests, and keep measuring performance yourself. For database-side snippets, our GitHub Copilot migration prompts show the same review-first mindset.