1. Create a Comprehensive Plain-Text Corpus

LLMs prefer clean, standardized, minimally formatted text. To optimize:

• Unified Text File: Aggregate all textual content (reports, blog posts, datasets summaries, articles, etc.) into a single, structured .txt file.

  • Ideal file structure:

    Title: <Article/Report Title>
    Author(s): <Author Names>
    Date: YYYY-MM-DD
    URL: https://...
    Categories: politics, demographics, survey, etc.
    
    Abstract:
    [Brief abstract/summary of content]
    
    Full Text:
    [Complete text, clearly delineated]
    
    References:
    [URLs or citations if relevant]
    
    --- [separator between items] ---
    
    

• File Hosting:

  Host this .txt file alongside the primary website (e.g., pewresearch.org/content-corpus.txt) to facilitate automated crawling by LLM agents and web crawlers.

2. Structured JSON Corpus Alternative

A structured JSON format can provide deeper metadata:

[
  {
    "title": "Article Title",
    "authors": ["Author 1", "Author 2"],
    "date": "YYYY-MM-DD",
    "url": "https://...",
    "categories": ["demographics", "politics"],
    "abstract": "Short summary...",
    "text": "Full article text...",
    "references": ["https://...", "https://..."]
  },
  {... next article/report ...}
]

• Host this as pewresearch.org/content-corpus.json

3. Content and Formatting Standards

To maximize LLM readability:

• Titles & Headings: Clearly labeled (Title:, Abstract:, Full Text:).
• Consistent Date Format: YYYY-MM-DD.
• Minimal Markdown: Limit formatting; no complex HTML or JavaScript.
• Clean Separators: Use consistent delimiters (--) to indicate end/start of content blocks.

4. Robots.txt & Sitemap Integration