SitePilot AI — Website Analyzer & Blueprint - Sell Project
Listed September 17, 2026
About SitePilot AI — Website Analyzer & Blueprint
Turn any website into actionable insights and a complete AI development blueprin
SitePilot AI — Production-Ready AI Website Analyzer & Blueprint Generator Asking Price $1,750 USD Project Status Pre-revenue / Ready to Launch Overview SitePilot AI is a production-ready AI-powered website analysis platform that turns a website URL into a detailed technical analysis, actionable recommendations, an AI-generated report, and a structured 15-section development blueprint. The project is being sold as a complete source-code project for a one-time acquisition. It is not being sold as an active SaaS business with existing revenue or users. The core product is already built, tested, deployed, and working end-to-end. -- What Does SitePilot AI Do? A user enters a public website URL. SitePilot AI analyzes the website and produces several layers of useful output: Website URL → Website Analysis → Audit Findings → Recommendations → AI Report → AI Blueprint → PDF Export The goal is to help website owners, developers, agencies, and technical teams understand an existing website and turn that understanding into an actionable improvement or development plan. -- Core Features 1. Automated Website Analysis The platform analyzes a public website and extracts relevant information including: Website metadata Page structure Company information Contact information Social links Website structure Technical signals Content-related information -- 2. Deterministic Website Audit The system includes 40+ deterministic audit rules across multiple categories. The audit identifies concrete website issues rather than relying entirely on generative AI. Findings are organized and presented in a structured way so users can quickly understand what needs attention. -- 3. Actionable Recommendations SitePilot AI converts findings into recommendations with structured information such as: Priority Impact Effort Recommended action Supporting details This makes the analysis more useful than simply presenting a list of technical problems. -- 4. AI-Powered Report The platform uses Google's Gemini API to generate a structured AI report based on the collected website analysis and audit results. The AI Report transforms the raw analysis into a more understandable summary with: Key findings Analysis Recommendations Improvement opportunities Structured explanations -- 5. 15-Section AI Blueprint One of the main features of the project is the AI Blueprint Generator. The system can generate a structured development blueprint containing 15 sections: 1. Executive Summary 2. Website Structure 3. Pages 4. Features 5. User Flows 6. Database 7. APIs 8. Authentication 9. AI Features 10. Integrations 11. SEO 12. Tech Stack 13. Roadmap 14. Cost Estimate 15. Risks The blueprint is designed to turn website analysis into a practical development and planning document. -- 6. Production-Grade AI Pipeline The AI generation pipeline includes multiple layers rather than simply sending a prompt to an LLM. The pipeline includes: Context extraction Context building Prompt building AI provider selection Gemini integration Structured response parsing Zod validation Business validation Broken JSON recovery Retry handling Diagnostics Cost tracking Caching Blueprint validation This architecture makes the project suitable as a foundation for further commercial development. -- 7. Blueprint Recovery & Validation The Blueprint generation system includes recovery strategies for malformed AI output, including handling cases such as: Markdown code fences Extractable JSON Missing closing braces Truncated responses Incomplete objects Generated blueprints are validated structurally and through business-level checks before being presented to the user. -- 8. Dashboard & Project Management The application includes an authenticated dashboard where users can: Create website analysis projects View projects Run analysis Review results View AI reports View AI blueprints Export reports -- 9. PDF Export Both major generated outputs can be exported as PDF documents: AI Report PDF AI Blueprint PDF The exports are designed to be used as shareable project documentation. -- Technical Stack Frontend Next.js 15 React 19 TypeScript Tailwind CSS 4 Radix UI / shadcn-style components Framer Motion Lucide Icons React Hook Form Zod Backend / Application Next.js App Router Server-side application logic Server Actions Cheerio for website extraction Structured AI generation pipeline AI Google Gemini API @google/genai Structured AI output Validation and recovery pipeline Provider-oriented architecture designed for future extensibility Database & Authentication Firebase Authentication Firebase Firestore Testing Vitest Playwright Extensive unit/integration testing Blueprint-specific test coverage Production build verification Deployment Vercel Firebase -- Production Status The project has been deployed and manually tested through the complete user workflow. The tested flow includes: Registration → Website Analysis → Audit → Recommendations → AI Report → AI Blueprint → PDF Export The production build completes s...
Full source code Frontend Backend/application logic AI pipeline Website extraction system Audit engine Recommendation system AI Report system 15-section Blueprint system Dashboard Authentication integration Firestore integration PDF exports Tests Scripts Configuration files Documentation README .env.example Firebase configuration templates GitHub workflows Husky configuration The buyer receives a clean production-oriented source package ready to configure and deploy. -- Sale Package The delivered source package is approximately: 1,187 files / 3.30 MB The package intentionally excludes: nodemodules .next .git .env .env.local local virtual environments local development logs personal IDE configuration generated build artifacts These are either regenerated during installation/build or contain seller-specific/local information.
Reason for selling
I am busy with other things and no longer have time to maintain this project.
Project metrics
Average Monthly Revenue: Pre-revenue
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