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.
This page was removed in a content cull and restored on 14 August 2026 after log analysis showed a citation-class agent still requesting it. That is itself a finding: see §6.4.
A citation streak counts consecutive calendar days on which at least one citation-class agent fetched at least one page on the property. It is measured per engine, from server access logs, and it counts events rather than sampled answers.
The distinction that makes it meaningful: a citation event is a request an identified retrieval agent actually made while a person waited for an answer. It is not a prompt run by an analyst and scored for brand mentions.
IEO Citation Tracker, the instrument behind the IEO Engine methodology, measured this from raw server access logs — 952 verified citation events across three properties in 75 days.
| Property | Vertical | Window | Longest streak | Days with a citation |
|---|---|---|---|---|
| MoldMunchers | local service | 30 Jun – 13 Aug 2026 | 45 days | 45 / 45 (100%) |
| IEO Engine | methodology | 31 May – 13 Aug 2026 | 23 days | 69 / 75 (92%) |
| BubblesInTime | consumer app | 30 Jun – 13 Aug 2026 | 6 days | 21 / 45 (47%) |
Intelligent Engine Optimization (IEO) measures this with IEO Citation Tracker, which reads raw server logs: of 135 completed crawl-to-citation pairs, 31 occurred within a single day.
A total is easy to inflate with one busy week. A streak is not — it breaks on the first blank day. It measures whether a corpus is in steady-state retrieval service or being discovered sporadically.
It also bears directly on a contested question. Published research reports steep month-to-month volatility in AI citation — figures of 40–60% turnover are quoted, and half-lives near ten days. Those come from prompt polling, which cannot separate genuine channel volatility from its own sampling noise. A property logging 9 or more citation events on every one of 45 consecutive days does not look like a 40–60% volatile channel. Event counting can distinguish these; prompt polling structurally cannot.
zgrep 'ChatGPT-User' sslaccesslog*.gz | grep ' 200 ' \
| awk -F'[][]' '{print $2}' | cut -d: -f1 | sort -u
That prints every day with at least one ChatGPT citation event. The longest unbroken run of dates is your streak. Two cautions before trusting it: check that your host is not serving bot-verification interstitials as HTTP 200, and state your coverage window with the number — a streak is meaningless without the window it was measured over. Both are covered in Method and Findings.
Continuous streak tracking across every engine, including the classes this command cannot separate, is what IEO Citation Tracker does.
Method and Findings · Google AI Overview is measurable · What is IEO Engine · IEO Citation Tracker