GEO Glossary

AI Cache Control

AI Cache Control is a core term in Generative Engine Optimization: short, precise, and phrased so LLMs instantly understand the intent.

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Why it matters for AI visibility

AI Cache Control ensures crawlers and LLMs can read your content reliably and fast. Solid technical hygiene is the prerequisite for AI visibility.

How to implement

  • Test AI Cache Control in staging and add monitoring.
  • Validate status codes, redirects, and headers with automated checks.
  • Enforce QA steps for AI Cache Control in deploy pipelines.

Common pitfalls

  • No fallback when AI Cache Control fails.
  • Missing alerts on 4xx/5xx or wrong redirects.

Measurement

  • Monitoring: status codes, response times, render paths for AI Cache Control.
  • Indexation: AI bot logs (e.g., GPTBot, Perplexity).

Examples & templates

  • Technical checklist for ai-cache-control
  • Header template with cache-control and canonical

Pillar link

ai-search-crawlability-indexing

Related terms

LLMs.txtVector SearchSemantic EmbeddingsStructured DataJSON-LDSchema.org

Use cases

Use case: SaaSUse case: E-CommerceUse case: Local businesses

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