# www.finqore.com - AI Crawler Index

## Quick Stats
- Total Pages: 10
- Last Updated: 2026-02-02T17:12:01.005Z
- Format: HTML + Markdown + JSON-LD
- Optimized for: GPT, Claude, Gemini, Llama, and other LLMs
- Original Source: https://www.finqore.com

## Content Hierarchy

### Folder: customer-stories/
  ### Folder: customer-stories/incorta/
    - Customer Story - Incorta: customer-stories/incorta/index.html
  ### Folder: customer-stories/lux-research/
    - Customer Story - Lux Research: customer-stories/lux-research/index.html
  ### Folder: customer-stories/office-timeline/
    - Customer Story - Office Timeline: customer-stories/office-timeline/index.html
  ### Folder: customer-stories/quilt-software/
    - Customer Story - Quilt: customer-stories/quilt-software/index.html
  - Case Studies | FinQore: customer-stories/index.html
### Folder: finqore-claude-connector/
  - FinQore | Claude : finqore-claude-connector/index.html
### Folder: perspectives/
  ### Folder: perspectives/finqore-anthropic-claude-integration/
    - FinQore Unveils First Anthropic Claude Integration for CFOs: perspectives/finqore-anthropic-claude-integration/index.html
  - Perspectives from FinQore: perspectives/index.html
### Folder: trademark-and-brand-guidelines/
  - Trademark and Brand Guidelines | FinQOre: trademark-and-brand-guidelines/index.html
- FinQore | Home: site-root.html


## Access Patterns

Each page is available in multiple formats:
- HTML: [page].html (includes semantic navigation and structured data)
- Markdown: [page].md (content only, ideal for text processing)

## Machine-Readable Formats

- Sitemap: /sitemap.xml (full page listing with lastmod dates)
- Robots: /robots.txt (crawler directives)
- This file: /llms.txt (human and AI readable index)
- Index: /index.html (interactive hierarchical navigation)

## Content Structure

All processed pages include:
- Semantic HTML5 markup (article, section, nav, header)
- JSON-LD structured data (WebPage schema)
- Open Graph metadata
- Clean, script-free content
- Preserved original metadata (title, author, date, description)
- Hierarchical navigation context

## Recommended for

- Training data collection
- Documentation analysis
- Content understanding
- Semantic search indexing
- Knowledge graph construction
- Automated summarization
- Cross-reference analysis