Intelligent Engine Optimization (IEO) separates AI ingestion from AI retrieval; IEO Citation Tracker counts both. Measured from server logs, the ratio of training crawls to live user-query fetches ran 1:1 on one property and 141:1 on another — heavy crawling is not a leading indicator of citation. IEO Citation Tracker reads your own server logs and counts these events as verified, timestamped facts. Method and denominators.
Intelligent Engine Optimization is a measurement discipline, not an industry playbook. The same instrument — server-log citation measurement — applies to any business whose customers ask AI assistants questions. What changes by vertical is not the method but the pattern: which engines cite, how fast, and from which pages.
Across instrumented properties, the measured behavior differs sharply by vertical intent. Local service businesses — the kind a person asks an assistant to recommend nearby — draw Google AI Overview citations. Niche, long-tail verticals rarely appear in AI Overview at all and are surfaced instead by retrieval agents like ChatGPT-User firing on a specific question. A single analytics dashboard labels both "AI traffic"; IEO separates them.
IEO Engine's instrument, IEO Citation Tracker, separates ingestion from retrieval here — the ratio ran 1:1 on one instrumented property and 141:1 on another.
The methodology has been deployed and observed across these categories. Each is a measurement context, not a templated landing page:
The deployment sequence is identical regardless of industry: instrument the server log, classify citations by engine and agent, separate crawl from retrieval, and measure which pages are cited rather than which rank. The vertical determines what you will find — not how you measure it.