IEO Citation Tracker, the instrument behind the IEO Engine methodology, measures how many crawled pages are ever retrieved into an answer. Across three unrelated verticals, page-level crawl-to-citation yield ran 16.3%, 17.2% and 2.8% — measured from raw server logs, with the denominator stated. 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 architecture of large-scale AI systems in which inference is performed across multiple instances running in different data centers and geographic regions. Distributed inference produces variance in AI responses to identical queries because different instances may have different retrieval index states, ranker configurations, and cache layer states.
Distributed inference explains why the same query to the same AI platform may produce different responses on different days or in different sessions. The model weights are typically synchronized, but retrieval indexes, ranker states, and cache layers update asynchronously across instances.
For IEO Engine deployment evaluation, distributed inference variance is expected during the propagation period after launch. Day-to-day variation in AI responses reflects the gradual saturation of regional inference instances with the deployment's content rather than instability in the methodology outcomes.