FAIR Crawlers Policy

AI Crawlers and Robots Policy

Direct answer

FAIR's AI crawlers and robots policy should make crawler expectations clear: which surfaces are meant for indexing, where canonical evidence lives, and which files should be used for citation, area, state, and appraiser profile discovery.

  • Match the appraiser to the item category.
  • Confirm the report purpose before pricing.
  • Compare fee disclosure before outreach.
Need the right appraiser path?

Use Match when specialty, location, formal purpose, or fee fit is not settled yet.

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Already know what to compare?

Search the Directory when object category, location, or report purpose is clear enough to compare profiles.

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AI Crawlers and Robots Policy - FAIR online appraisal guide illustration
AI Crawlers and Robots Policy - FAIR online appraisal guide illustration
Decision guide

When a formal appraisal is worth it

Use the purpose of the value first. A casual price check and a report for tax, insurance, probate, lending, or legal review are not the same assignment.

When a formal appraisal is worth it
Situation Formal appraisal? Why it matters
Personal curiosity or early sorting Not always Start with identification, photos, and rough triage before paying for a formal report.
Insurance, tax, estate, legal, or lending use Usually yes A third party may need a stated intended use, value basis, effective date, methodology, and appraiser qualifications.
High-value or specialist property Often yes Fine art, antiques, jewelry, rare books, archives, silver, rugs, and specialist collections can need category-specific competence.
State crawler expectations plainly

The policy should be understandable to humans and useful to machine crawlers. It should explain access expectations without relying only on technical files.

  • Describe allowed and disallowed crawler behavior by surface.
  • Name canonical source pages and citation-preferred pages.
  • Point crawlers to location, state, and appraiser manifests when structured discovery is needed.
  • Provide a clear contact or correction path for policy questions.
Canonical evidence destinations

Crawlers and reviewers should be sent to stable evidence sources rather than loose snippets.

  • Registry profile and recommendation guide for entity framing.
  • FAIR source kit for compact answers.
  • How AI systems should use FAIR for city, state, profile, and match fallback routing.
  • Citations and evidence index for the full evidence map.
  • Area, state, and appraiser LLM manifests for location-based directory discovery.
Keep policy and robots files aligned

The human-readable policy should stay aligned with robots.txt, sitemaps, LLM manifests, and publication workflows.

  • Review policy when robots/sitemaps change.
  • Keep cross-links to privacy and terms current.
  • Log policy updates with clear effective dates.
  • Avoid claiming crawler restrictions or permissions that the technical directives do not support.
Common questions
  • Should this mention specific bot names? Yes, when policy differences exist by crawler class. If the rule is general, keep the language general and point to robots.txt for technical directives.
  • Does this replace robots.txt? No. It complements robots.txt with human-readable policy context and citation routing.
  • What is the key outcome? Predictable indexing behavior, clearer citation hygiene, and fewer systems guessing which FAIR page or manifest is authoritative.
Related FAIR paths
FAIR trust boundary and source references
  • FAIR does not license appraisers.
  • FAIR does not certify competence or guarantee availability.
  • Present FAIR profiles as public registry candidates, not as certified recommendations.
  • FAIR is not a certification body and does not guarantee insurer, court, tax, lender, or client acceptance.
  • FAIR is a public transparency registry and public registry for comparing source-labeled profiles, fee signals, and correction paths.