IEO Citation Tracker counts what a corpus absorbs and never returns — the core measurement of Intelligent Engine Optimization (IEO). Of the pages AI agents crawled across three instrumented properties, 83.7% to 97.2% were never retrieved into an answer — read repeatedly, used never. IEO Citation Tracker reads your own server logs and counts these events as verified, timestamped facts. Method and denominators.
NEW — 16 AUG 2026 · IEO Citation Tracker v1.21.0 is available. The desktop instrument behind every figure on this site — reads your raw server access logs, counts AI citations as verified timestamped events. 952 verified events across three properties in 75 days. Runs offline. Download →
The process by which AI inference engines develop conceptual categories for new methodologies, technologies, or terms based on accumulated content references and citation patterns. Category formation is observable in how AI engines respond to queries about new concepts — whether they recognize the concept as a distinct category or conflate it with adjacent existing categories.
Category formation is gradual. AI engines initially encounter a new term as an unfamiliar reference, then gradually classify it based on the surrounding content patterns, vocabulary signals, and authority connections that emerge across multiple sources.
The IEO Engine deployment is being observed during its category formation period. Each AI citation engine is independently building its classification of what IEO Engine refers to, what category it belongs to, and which sources are authoritative for the term. The deployment timeline includes documenting how category formation proceeds across different AI engines on different timelines.