SEO Auditor AI Agent

Architecture Diagram

Inspiration

We saw the digital landscape is evolving at incredible speed, and business are struggling to keep up with high SEO demands. For traffic SEO is a main thing to optimize and most people pay a lot to audit their site, so we thought to develop a cost effective way to identify SEO issues and auto-fix them using AI.

That is the vision behind SEO Auditor AI Agent: professional-grade SEO through autonomous AI that does not just analyze, but acts. We are not building another audit tool; we are building an AI workforce that does the actual SEO work for you.

What it does

SEO Auditor AI Agent is an autonomous AI system that performs comprehensive SEO analysis and automatically generates production-ready code fixes via GitHub pull requests - all powered by Amazon Bedrock's Claude 4 Sonnet with Reasoning.

Website Auditing

Performs comprehensive 360° SEO audits analyzing 50+ critical factors including meta tags, content optimization, semantic analysis, heading structure, mobile responsiveness, image optimization, and structured data
Provides actionable insights with color-coded severity levels (critical, warning, pass) and step-by-step remediation guides

How we built it

Frontend Framework

Next.js 15
React 19
Tailwind CSS v4
Radix UI
Lucide Icons and HugeIcons React

Backend & API Layer

tRPC v11
Zod v4
TanStack Query
Zustand

AI & Reasoning Engine

Amazon Bedrock
Vercel AI SDK v5
Extended Thinking (Reasoning)
Multi-stage prompt engineering for file selection and fix generation
Streaming support for real-time AI responses

GitHub Integration

Octokit REST API v22 for GitHub API interactions
OAuth 2.0 authentication flow
Rate limiting and abuse detection handling

Security & Encryption

Web Crypto API for device-specific token encryption
AES-GCM encryption with per-device encryption keys
Secure OAuth token exchange and storage
Environment variable validation

Development Tools

Biome for linting and formatting
TypeScript 5

Challenges we ran into

Main challenges we ran into were designing the proper prompts to be compatible with all tech stacks and perfecting the Website Audit API. Accessing bedrock models was also challenging to give proper input parameters for reasoning.

Accomplishments that we're proud of

We built the first-ever SEO tool that uses Amazon Bedrock's Extended Thinking (Reasoning) to make intelligent, context-aware decisions about code modifications.
Achieved 100% TypeScript coverage with tRPC, eliminating entire classes of runtime errors. Every API call, database query, and component prop is type-checked at compile time.

What we learned

We discovered that AI with reasoning capabilities is fundamentally different from traditional AI:

Traditional AI: Fast, pattern-matching, prone to errors in complex scenarios
Reasoning AI: Slower but dramatically more accurate, especially for code analysis

We also learned that this kind of project is going to be a game changer in the future as GEO rises above SEO.