How to write for AI search: A playbook for machine-readable content
- 8 hours ago
- 1 min read
SEARCH ENGINE LAND — Large language models (LLMs) don’t seek less information. They seek higher information density. Google’s Gemini operates on a limited budget of retrieved information, according to research by DEJAN AI, which analyzed over 7,000 queries.
The grounding budget is roughly 1,900 words per query, split across multiple sources. For an individual webpage, your typical allocation is around 380 words. You’re competing for a tiny slice of a fixed pie, so being precise helps the AI’s matching process.
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