Technical Implementation · Page 3
llms.txt, ai.txt, structured data, and other technical specs for AI search readiness.
148 articles · Page 3 of 13
API Content Design for AI Consumption
How to design API responses, OpenAPI specs, and reference docs so LLMs and AI agents can parse, cite, and generate working code from them.
Attribution in AI answers: how to ensure the right page gets credit
Practical guide to AI answer attribution: how engines pick a source, why credit goes to the wrong page, and the canonical, structural, and entity signals that fix it.
Auth-Gated Content Disclosure Specification for AI Crawlers
Specification for disclosing authenticated content to AI crawlers via schema.org isAccessibleForFree, summary endpoints, and llms.txt without leaking gated material.
BreadcrumbList Schema Specification for AI Search Citation Context
BreadcrumbList schema specification: required fields, position ordering, and how AI engines use breadcrumb structured data to disambiguate citations.
Brotli vs Gzip Compression for AI Crawlers
Brotli vs Gzip for AI crawler responses: ratio, CPU cost, Accept-Encoding negotiation, AI bot support, and CDN configuration patterns.
C2PA Content Credentials for AI Provenance
How C2PA Content Credentials cryptographically prove media provenance so AI search engines can trust authorship, edits, and AI generation history.
Cache-Control Headers Reference for AI Crawlers
Reference for Cache-Control directives (max-age, s-maxage, immutable, stale-while-revalidate) that influence AI crawler refresh frequency and citation freshness.
Canonical Tag for AI Search
Specification for rel=canonical implementation across HTML and HTTP-header methods, with guidance on how AI engines resolve canonicals for parameterized URLs and AMP variants.
Canonicalization for AI Answers: Avoiding Duplicate and Conflicting Sources
Canonicalize duplicate and conflicting sources so AI answers cite the right URL. Practical playbook with rel=canonical, redirects, sitemap, and update policies.
CDN Configuration Checklist for AI Crawler Discoverability
CDN configuration checklist for AI crawler discoverability: bot rules, cache headers, user-agent allowlists, and edge settings that keep ChatGPT readable.
ChatGPT Atlas Browser Discoverability Specification
Technical specification for making sites discoverable to ChatGPT Atlas browser: user-agent behavior, fetch semantics, robots.txt directives Atlas honors, and citation eligibility rules.
schema.org Claim Type for AI Fact-Checking
schema.org Claim type spec for AI fact-checking and grounding—appearance, firstAppearance properties and ClaimReview pairing patterns.