> ANTHROPIC_ALIGNMENT

Optimize for
Claude.

Strategies for "Contextual Density" and technical documentation ingestion.

To optimize for Claude (Anthropic), prioritize comprehensive "context maps" (like llms.txt), high-density technical documentation, and text-based structural clarity.

Claude excels at digesting massive amounts of context (200k+ tokens). It prefers a "Read the Docs" style structure over fragmented marketing copy.

> CLAUDE_OPTIMIZATION_PROTOCOL

💡 Key Difference: Unlike ChatGPT which browses frequently, Claude relies heavily on its vast context window. Feed it structure.

01. Implement /llms.txt (Critical)

The Context Map. Claude is optimized to look for an llms.txt file at your root. This file should be a concatenated markdown representation of your core documentation.

02. XML Tagging Structure

Explicit Delimiters. Claude follows instructions better when content is wrapped in XML-style tags like <context>...</context> or <data>...</data> within your markdown.

03. Constitutional Alignment

Safety & Helpfulness. Avoid manipulative language ("Clickbait"). Claude's "Constitutional AI" training penalizes content that appears deceptive or harmful. Adopt a neutral, academic tone.

> FAQ: CLAUDE_SPECIFIC

Does Claude crawl the web like Google?

ClaudeBot crawls primarily for training data, not real-time indexing like Google. This means your optimization is for future model training (Long-term AEO) rather than instant retrieval.