{"id":13,"date":"2026-07-30T15:34:06","date_gmt":"2026-07-30T08:34:06","guid":{"rendered":"https:\/\/undercover.co.id\/en\/?page_id=13"},"modified":"2026-07-30T19:21:25","modified_gmt":"2026-07-30T12:21:25","slug":"evidence","status":"publish","type":"page","link":"https:\/\/undercover.co.id\/en\/evidence\/","title":{"rendered":"AI Visibility Evidence and Validation"},"content":{"rendered":"\n\n

AI visibility claims become unreliable when screenshots, implementation activity, business outcomes, and independent validation are mixed into one story. Undercover.co.id separates these evidence layers so that a reader can see what was observed, what was implemented, what changed, and what remains unknown.<\/p>\n\n\n\n

Evidence layers<\/h2>\n\n\n\n

Observed evidence<\/h3>\n\n\n\n

A time-bound record of an AI output for an exact query, provider, mode, date, language, location context, session, and retrieval condition. It records whether the brand was mentioned, how it was described, which sources were used, and what limitations apply.<\/p>\n\n\n\n

Implementation evidence<\/h3>\n\n\n\n

A record that a specific page, schema graph, relationship, source correction, evidence route, or governance control was implemented. Implementation evidence proves the work occurred, not that an AI system will respond in a particular way.<\/p>\n\n\n\n

Outcome evidence<\/h3>\n\n\n\n

A comparable result measured against a baseline using a sufficiently consistent query set and methodology. Outcome evidence requires clear periods, denominators, failure handling, and limitations.<\/p>\n\n\n\n

Independent validation<\/h3>\n\n\n\n

Evidence from a third party that is independent of Undercover.co.id and the subject organization. Independence, publication context, date, and claim relevance must be stated.<\/p>\n\n\n\n

Methodology evidence<\/h3>\n\n\n\n

Documentation showing how queries, observations, classifications, scoring, source handling, and validation are performed.<\/p>\n\n\n\n

Mandatory observation metadata<\/h2>\n\n\n\n