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Claude/ChatGPT Prompt to Generate a Dental Practice Website

Generate a dental practice website with booking, service showcase, before/after gallery, insurance checker, and local SEO — all in one structured prompt.

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Edit the values, then copy your finished prompt.

Jouw Prompt
prompt.txt

                                

What this prompt does

This prompt generates a complete dental practice website spec and code scaffolding from six variables: practice name, services list, target patients, location, service count, and your target framework. The template is opinionated by design — it bakes in industry-specific anti-patterns (no graphic procedure imagery, no cold clinical grays, no bloated booking forms) and enforces a calming visual language of white, teal, and clean blue. That specificity is the point: you are not describing a generic medical site, you are describing a dental conversion funnel where visitor anxiety is the primary conversion blocker.

The output covers all nine sections sequentially: hero with visible phone number, service cards, interactive before/after slider, team bios, reviews integration, insurance checker, a lean booking form, Google Maps embed with LocalBusiness schema, and framework-specific code for the three highest-effort components. The prompt forces concrete deliverables rather than vague suggestions, which means you get implementable output rather than a mood board.

The [framework] variable is where real leverage lives — swap in React, Vue, Alpine.js, or Blade and the code output shifts to match your stack, keeping all nine sections and their content constant.

When to use it

  • You are building or redesigning a dental clinic site and need a conversion-focused layout, not a blank canvas.
  • A client has specific services (Invisalign, implants, teeth whitening) and you need structured content for each service card without starting from scratch.
  • You need LocalBusiness schema markup generated alongside the HTML rather than writing it separately.
  • You are an agency prototyping for a new dental client and want a first-pass spec to review in the discovery call.
  • You are migrating a practice from an outdated site and need a modern component checklist with before/after gallery logic already specified.
  • You want the booking form constrained by the anti-pattern rule baked into the template — the prompt explicitly blocks multi-field intake forms so the AI does not invent a 12-field version nobody fills out.

Example output

Practice: Riverside Family Dentistry
Services: General checkups, Invisalign, teeth whitening, emergency dental
Target patients: Families with children, adults seeking cosmetic work
Location: Austin, TX
Service count: 4
Framework: Alpine.js

--- HERO ---
Headline: "Comfortable Care in the Heart of Austin"
Subline: "Same-week appointments. Insurance accepted. Zero judgment."
CTA: [Book Your Visit] | Call: (512) 555-0192

--- SERVICES (4 cards) ---
1. General Checkups — "Twice a year keeps the drill away." | From $0 with insurance
2. Invisalign — "Straighter teeth, zero metal." | From $3,200
3. Teeth Whitening — "Four shades brighter in one visit." | From $299
4. Emergency Dental — "Seen same day, always." | Call for availability

--- BEFORE/AFTER SLIDER (Alpine.js) ---
<div x-data="{ pos: 50 }">
  <input type="range" x-model="pos" min="0" max="100" />
  <!-- before/after images positioned via clip-path: inset(0 {100-pos}% 0 0) -->
</div>

Pro tips

  • Set [target_patients] precisely — "families with children under 12" produces different copy tone and imagery guidance than "adults 30-55 seeking cosmetic work." The prompt feeds this variable into hero copy and service description emphasis, so a vague value like "everyone" collapses the specificity the template is built around.
  • If your practice does not publish price ranges, pass "price ranges: on request" in the services variable — a well-prompted AI model will typically suppress pricing from cards rather than inventing numbers, but always verify the output before publishing.
  • Pair this with a Google Business Profile audit before deploying the LocalBusiness schema output; NAP inconsistency between the generated schema and your GBP listing is a local SEO liability the prompt cannot detect or correct.
  • For the before/after slider, explicitly state [framework]: React with Tailwind (not just React) to get a proper useState implementation — an underspecified React instruction often produces a DOM-manipulation version that fights your component model.
  • Run the generated insurance checker section past the practice manager before publishing — insurance acceptance lists change frequently, and an outdated list on the site erodes patient trust faster than no list at all.

Frequently Asked Questions

Can I use this prompt if my practice only offers two or three services?
Yes. Set [service_count] to match your actual number — the prompt generates that many service cards and does not pad with invented services. Passing a short, accurate [services] list also keeps the hero copy focused rather than vague.
Does the prompt generate the actual before/after images or just the slider code?
It generates the interactive slider component code (HTML, CSS, and JS for whichever [framework] you specify) and the surrounding markup. It does not generate images — you supply your own patient photos. The template explicitly flags that stock perfect-smile photos undermine trust, so plan to use real case photos obtained with patient consent.
How do I get LocalBusiness schema markup that matches my specific practice details?
Fill in [location] with your full street address, city, state, and zip — not just a city name. The more specific the location variable, the more accurate the schema output. After generating, verify the output with Google's Rich Results Test before deploying, since schema errors can suppress local pack visibility.
Engr Mejba Ahmed

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Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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Engr Mejba Ahmed

Engr Mejba Ahmed

Claude Code Expert · Online

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