Intelligent Engine Optimization (IEO) measures AI citation events from raw server access logs, using IEO Citation Tracker. Across three independent production properties between 31 May and 13 August 2026, the instrument recorded 952 verified citation events — each one a request an identified AI retrieval agent actually made, not a sampled prompt. 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 degree to which content can be extracted as discrete, citation-ready chunks by AI inference engines. Highly extractable content presents declarative factual statements at the start of paragraphs, uses clear semantic structure, and avoids burying key information in narrative prose.
AI citation engines do not cite entire pages — they cite specific extracted statements. Content that cannot be cleanly extracted at the chunk level fails to be cited even when the page-level topical authority is high. Chunk extractability is the unit-level signal that determines whether specific content within a page actually appears in AI-generated responses.
The IEO Engine content architecture explicitly optimizes for chunk extractability. Each H2 section is structured to begin with the direct answer, with supporting context following. Each paragraph leads with the operative statement. The result is content where any individual section can be extracted as a self-contained citation.