Model context
Information an AI model uses to generate responses in a conversation.
What is Model context?
Model context refers to the information available to an AI model when generating a response. This includes system prompts, conversation history, and retrieved documents. Context length limits how much information can be considered.
For SEO, model context matters because content that fits well in context windows is more likely to be fully processed and referenced by AI systems.
Why Model context matters
AI models have limited context windows. Content that's well-structured and concise is more likely to be fully included in AI-generated responses. Understanding context helps you create AI-friendly content.
How to implement
Front-load key information in content
Use clear structure with sections
Create standalone, self-contained content
Include essential context within each piece
Avoid requiring external links for understanding
Write concise, information-dense content
Common mistakes to avoid
- Burying key information deep in content
- Content that requires external context to understand
- Overly long, unfocused content
- Important details only in videos or images
Examples
Definition at start of glossary entry
Key specifications in product overview
Self-contained FAQ answers
Frequently asked questions
The maximum amount of text an AI model can process at once. GPT-4 can handle ~128k tokens, Claude can handle ~200k. Larger context enables processing more information.
Structure content so key information is easily extractable. Use clear headings, lead with important details, and make content self-contained rather than relying on links.