Technical

AQA (AI Question Answer)

AQA (AI Question Answer) is an open-source (MIT) specification extending Schema.org FAQPage with AI-optimized metadata. It enables AI answer engines (ChatGPT, Claude, Perplexity) to evaluate the freshness, reliability and traceability of your FAQ answers.

What is AQA?

AQA (AI Question Answer) is an open standard that enriches Schema.org FAQPage markup with AI-specific metadata. Unlike standard FAQ markup, AQA adds per-question dates, sourced citations, change history and maintenance signals.

AI systems like ChatGPT, Claude or Perplexity can then assess whether an answer is current, verifiable and maintained — and cite it with confidence.

The 3 Conformance Levels

AQA Basic

Minimal implementation, achievable in 5 minutes:

  • dateCreated and dateModified on each question
  • At least one citation (source URL) per answer
  • author and inLanguage at document level

AQA Standard

For teams actively maintaining their FAQs:

  • All of AQA Basic +
  • updateFrequency (weekly, monthly, quarterly)
  • changelog with modification history
  • questionVersion (semantic versioning)
  • Sector classification via NACE codes

AQA Full

For enterprises with traceability requirements:

  • All of AQA Standard +
  • monitoringSources (2+ monitored sources)
  • Per-question author with verifiable credentials
  • Complete changelog with changeSourceUrl

AQA Shield

Available at any level, Shield adds:

  • aiUsagePolicy — declares permitted uses (RAG citation, training, summarization)
  • contentSignature — SHA-256 hash proving content integrity

Why implement AQA?

  • Increased AI visibility — AI systems prioritize content with verifiable provenance
  • Reliable citations — your answers are cited with source
  • Schema.org compatible — every AQA block is also a valid Schema.org document
  • Open source — MIT license, no vendor lock-in

Full specification: aqa-spec.org

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