# LLMSE

> LLMSE (LLM Search Engine) is a multi-media classification engine that uses AI to automatically categorize websites, documents, and videos into a hierarchical taxonomy of 58 categories. It provides SEO, E-E-A-T, AEO, readability, WCAG accessibility, GARM brand safety, and AI disclosure grading for any URL.

LLMSE indexes 1.4M+ classified URLs and detects 388+ web technologies, 187 mail providers, and 240 DNS providers. It supports websites, videos (YouTube, Vimeo, DailyMotion), and documents (PDF, DOCX, XLSX, PPTX, ODT).

## API

The REST API is public with per-domain rate limiting (1 request per domain per 60 seconds). All endpoints accept a `url` query parameter.

- [OpenAPI Specification](https://llmse.ai/api/openapi.json): Machine-readable OpenAPI 3.1 spec for all endpoints
- [API Documentation](https://llmse.ai/docs/api): Interactive Swagger UI documentation
- [Classify URL](https://llmse.ai/api/v1/classify?url=): Classify a website into category, subcategory, language, sentiment, demographics
- [SEO Analysis](https://llmse.ai/api/v1/seo?url=): Technical SEO scoring (0-100) with issue detection
- [E-E-A-T Analysis](https://llmse.ai/api/v1/eeat?url=): Experience, Expertise, Authoritativeness, Trustworthiness evaluation
- [AEO Analysis](https://llmse.ai/api/v1/aeo?url=): Answer Engine Optimization scoring for AI citation readiness
- [WCAG Analysis](https://llmse.ai/api/v1/wcag?url=): WCAG 2.1 Level A accessibility checks (15 automated checks)
- [Readability Analysis](https://llmse.ai/api/v1/readability?url=): Flesch Reading Ease scoring with web-optimized thresholds
- [GARM Analysis](https://llmse.ai/api/v1/garm?url=): Brand safety scoring using the GARM framework
- [AI Disclosure](https://llmse.ai/api/v1/ai-disclosure?url=): AI transparency compliance grading
- [Comprehensive Audit](https://llmse.ai/api/v1/audit?url=): Combined SEO + E-E-A-T + AEO + WCAG + readability + GARM + AI disclosure report
- [Find Similar Sites](https://llmse.ai/api/v1/similar?url=): Discover similar websites by category and subcategory
- [Advertiser Matching](https://llmse.ai/api/v1/advertisers?url=): Match relevant advertising networks based on content classification

## Grading

All analysis tools use A-F letter grades with 0-100 scores. Thresholds: A >= 90, B >= 80, C >= 70, D >= 60, F < 60.

## Badges

Embeddable SVG grade badges are available at `/badge/{domain}/{type}.svg` where type is one of: seo, eeat, aeo, readability, wcag, overall.

- [Badge Documentation](https://llmse.ai/badges): Badge embed codes and examples

## Reports

Shareable audit report cards with OG images for social media.

- [Reports](https://llmse.ai/reports): Generate shareable report cards at /report/{domain}

## Blog

Data-driven original research based on analysis of 1.4M+ classified URLs.

- [Blog](https://llmse.ai/blog): Published research and analysis

## Methodology

- [Scoring Methodology](https://llmse.ai/docs/methodology): Detailed explanation of all grading frameworks