I have built AEO-SEAI Audit, a professional-grade AI-search readiness content auditor. The application implements an agent-style workflow that crawls a website, classifies its content, and uses Gemini to evaluate how well it is positioned for AI-driven search experiences.

Key Features

• Intelligent Crawler: A queue-based crawler that prioritizes informational pages (blogs, FAQs, guides) over transactional or utility pages, respecting user-defined crawl limits (up to 150 pages).

• Multi-Agent Analysis:

  • Page Classification: Automatically categorizes pages into types like “Expertise,” “Guide,” or “FAQ.”

  • Site Understanding: Infers business purpose, target audience, and core topical clusters.

  • Keyword Opportunity Engine: Generates realistic long-tail query opportunities based on actual site content.

  • Readiness Scoring: A heuristic model (0-100) evaluating informational depth, topical coverage, extractability, and trust signals.

• Interactive Dashboard:

  • Overview: High-level readiness scores and an AI-generated executive summary.

  • Crawl Inventory: A sortable table of all analyzed pages.

  • Content Coverage: Visualizations of page-type distribution and entity coverage.

  • Action Plan: A prioritized list of “Quick Wins” and “Strategic Investments” with specific evidence from the crawl.

• Professional Export: Generate and download a structured Markdown report for clients or internal stakeholders.

Technical Implementation

• Full-Stack Architecture: Uses an Express backend to proxy requests and fetch HTML content, bypassing CORS restrictions while keeping the analysis logic on the frontend.

• Gemini 3 Flash Integration: Powers the classification and synthesis agents for high-speed, accurate content evaluation.

• Modern UI: Built with React, Tailwind CSS, and Framer Motion for a fluid, responsive dashboard experience.

You can now enter a root URL and start an audit to see how well your site is prepared for the future of AI search.