Context engineering
Choosing what goes into a model’s context window: docs, tools, memory. Product skill, not a meta description trick.
If your public pages are the context someone pastes, make them dense and true.
RAG pipelines are context engineering at scale.
Examples
- A team dumps the entire Confluence into context and the model latches onto a stub page from 2019.
Related terms
How much text a model can consider at once. Bigger windows mean longer threads and more pasted docs — including your pricing PDF.
Anthropic’s open standard for connecting models to tools and data. Reddex exposes MCP for agents that should query visibility, not scrape HTML.
RAG means the model looks up documents at answer time instead of relying only on what it memorized in training.
FAQ
Marketer’s job? +
Ship pages that survive being retrieved as context. Don’t rename SEO to context engineering on LinkedIn.
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