TRAINING CRAWL
…
—
AI RECOGNITION
Separates “has the model learned it?” into five independent evidence tracks: training-crawl eligibility, clean parametric recall, web-search discovery, live web fetch, and connected MCP/HTTP retrieval.
Publishers cannot directly verify whether a specific page entered model parameters; only clean recall tests without search, URLs, MCP or prior context are treated as observations of parametric recall.
TRAINING CRAWL
—
PARAMETRIC MEMORY
—
SEARCH DISCOVERY
—
LIVE WEB FETCH
—
CONNECTED RETRIEVAL
—
API: /api/public/site/ai-recognition
Crawler HTTP 200 only proves accessibility; search citation is not parameter memory; live fetch is not indexing; MCP retrieval is not natural discovery. All five tracks are scored independently.