GEO for Local Services

GEO-powered static site builder for local service businesses. Converts messy websites into AI-readable answers for ChatGPT, SGE, and voice assistants—zero code required.

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GEO for Local Services – AI Visibility Starter Kit

🚀 What inspired you

Local service pros — plumbers, electricians, HVAC techs — are invisible to AI search.
Traditional SEO is built for Google. But modern assistants like ChatGPT, Google SGE, and Perplexity need structured, machine-readable summaries to surface content.

We asked:

“What if every small business could be discoverable by AI — without hiring a dev team?”

That’s what inspired us to build a fully static, AI-visible website template, ready out of the box with GEO (Generative Engine Optimization) for local businesses.

🧠 What you learned

  • GEO ≠ SEO. Schema.org + clean JSON summaries are the new table stakes for visibility in AI.
  • A11y helps AI too. Semantic HTML and WCAG compliance make content easier for both humans and machines to parse.
  • Assistants don’t rank — they answer. The goal is no longer “Page 1”; it’s “answer-worthy.”
  • Next.js 15 makes it surprisingly easy to mix static output with dynamic summaries and LLM-compatible endpoints.
  • Bolt.new accelerated our 0 → 1. The one-shot prompt gave us a runnable, testable baseline in seconds.

🛠️ How you built your project

We used Bolt.new + Next.js 15 to scaffold and build an end-to-end AI-optimized static site template for a fictional brand, Skyline Home Services.

Tech Stack & Features

  • ⚙️ Next.js 15 App Router with output: 'export' for fully static deploy
  • 🎯 Schema.org JSON-LD for services, reviews, FAQs, and business profile — injected via <Script>
  • 🧠 /for-ai endpoint: returns clean machine-readable JSON + Markdown summary for LLMs
  • 🌍 Local SEO routing: auto-generates pages like /service-area/palo-alto for long-tail discoverability
  • 🎨 Tailwind CSS with full accessibility support
  • 🤖 Chatbot-ready API: /api/summary and /api/placeholder endpoints for GPT Plugin or RAG integration
  • 🛠️ next-sitemap & next-feed for discoverability
  • 🚀 Vercel deploy with 100/100/100 Lighthouse scores (Performance, SEO, A11y)

Bolt.new helped us:

  • Generate a full app router scaffold from a single prompt
  • Iterate JSON-LD injection patterns inline with real data
  • Preview, test, and optimize for Lighthouse + a11y inside the Bolt environment
  • Deliver production-ready code in under 2 days

🧩 Challenges you faced

  1. Dynamic structured data at build-time
    Injecting Schema.org JSON-LD dynamically across static routes without bloating HTML was tricky. We solved it using getStaticProps + next/script.

  2. Designing a /for-ai endpoint usable by both LLMs and humans
    We combined a Markdown summary with collapsible <details> for human readability while keeping it API-ready.

  3. A11y at speed
    We used eslint-plugin-jsx-a11y and ran Axe and Lighthouse audits in CI to maintain accessibility under tight deadlines.

  4. Extensibility vs performance trade-offs
    Some pages (e.g., reviews, booking availability) will need dynamic features. We scoped future iterations to use ISR or on-demand revalidation as needed.

✅ In 48 hours

  • Built a reusable GEO kit for any local service company
  • Hit perfect Lighthouse scores (Performance, SEO, A11y)
  • Created a starter template that’s AI-visible, assistant-readable, and ready to plug into GPT-based experiences

Want to see the future of small business visibility?
→ [Live demo / repo link] Visit https://skylinehomesvc.vercel.app → [DM me if you want early access to the WordPress-to-GEO converter]

Built With

  • bolt.new
  • cursor
  • next.js
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