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ADP v3.0 Compliant

AI Discovery Protocol
Endpoints

Machine-readable endpoints that help AI crawlers discover and index your content for potential citation.

23
Endpoints
11
AI Crawlers Tracked
0
Auth Required
<50ms
Response Time

Key Highlights

✓ Every endpoint is free to access with no authentication required
✓ Full CORS support (Access-Control-Allow-Origin: *) for cross-origin requests
✓ HTTP caching headers: ETag, Content-Digest (SHA-256), X-Update-Frequency
✓ Three llms.txt variants: lite (198 tokens), standard (1,247 tokens), full (13,451 tokens)
✓ Real-time news feeds update instantly when new press releases are published

Five-Layer Optimization Stack

This page implements all 5 layers of AI discoverability

Layer 1
SEO
✓
Layer 2
AEO
✓
Layer 3
GEO
✓
Layer 4
LLMO
✓
Layer 5
ADP
✓

Frequently Asked Questions

The AI Discovery Protocol (ADP) v3.0 is a set of machine-readable endpoints that help AI crawlers and discovery systems find and index website content. Pressonify implements ADP endpoints including llms.txt, a knowledge graph, JSON and RSS feeds, sitemaps and markdown concept docs (OKF).
llms.txt is a plain text file that provides AI crawlers with a compact overview of your site's structure and key content. It makes your site easier for AI systems to discover and index. Pressonify publishes one llms.txt with the site overview and latest releases, plus /wiki/llms.txt for the knowledge wiki; full release text is available as markdown at /okf/pr/{slug}.md.
Yes, every ADP endpoint is free to access. No authentication is required. They support CORS (Access-Control-Allow-Origin: *) for cross-origin requests and include caching headers (ETag, Content-Digest) for efficient polling.
The knowledge-graph.json endpoint provides a Schema.org JSON-LD catalog of all entities on the site: organizations, articles, products, and their relationships. Search engines use this to understand entity relationships, and AI crawlers can access it for entity context.
Update frequencies vary by endpoint: Realtime (news feeds, changelog.json), Hourly (ai-discovery.json, knowledge-graph.json), Daily (llms.txt, sitemap.xml), Weekly (changelog, robots.txt), and Monthly (security.txt, opensearch.xml). Each response includes an X-Update-Frequency header.

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