Observation Log: When AI Structure Precedes Human Consensus

kanna qed
1月25日
読了時間: 3分

1. Overview

This report documents traffic analysis data observed on this site (GhostDrift Research) during a specific period. During this timeframe, a significant asymmetry in metrics was observed, where "AI-related queries (derived from AI bots/search generative AI)" substantially outnumbered "human sessions" (Note: sessions and queries are not identical metrics).

This serves as primary source material indicating that AI-side referencing (crawling/queries from search generative AI) can occur with a bias toward "definition pages" at a stage prior to the formation of human social consensus (buzz or trends).

The purpose of this report is not to evaluate or advocate, but strictly to preserve the observation log.

2. Observed Data: Asymmetry Between Human and AI (Separation of Metrics)

Measurement results by Wix Analytics (Period: Last 30 days) indicate a clear "structural bias."

A. Human Traffic / Sessions

Sessions: 306
Unique Visitors: 254
Avg. Session Duration: 05:41
Characteristics:
- The majority of traffic sources are "Direct," indicating a pattern not driven by SNS diffusion or search inflows.
- While the average session duration is 05:41, the average pages per session is 1.4 with a bounce rate of 81%. This suggests that the majority of visits are likely "short checks and departures" rather than "deep reading." However, the high proportion of Direct traffic also suggests the coexistence of a small number of intentional visits.

B. AI/Bot Traffic / AI Queries

AI-Related Queries: 1,077
Growth Rate: +2,654% vs. previous period
Characteristics:
- The volume of "AI-related queries (1,077)" on the AI side is significantly larger than the "session count (306)" on the human side. However, since the units of measurement differ between sessions and queries, this ratio should be interpreted as a "bias in load/referencing" rather than a direct comparison of identical populations.
- Apart from general "human-centric browsing metrics," the AI query metric stands out prominently.

3. Waveform Analysis: The Singularity of January 14th (Potential Event-Driven Nature)

A spike-like waveform, potentially distinct from mere routine crawling, was observed.

Phenomenon: On January 14, 2026, AI-related queries surged (130 on the same day) and subsequently decayed gradually.
Reference Targets: During this period, the concentration of AI queries was biased toward the following "Stock (Fixed)" pages rather than blog articles (Flow).
- AI Safety 2026
- AI Governance
- GhostDrift Concept Definition

This suggests that AI-side referencing may be biased toward "Definition/Structure" rather than "Topic." Since specific external factors (such as index updates by search generative AI, crawler settings, or increases in reference sources) cannot be identified solely from this log, we limit our statement here to the fact that "a spike biased toward definition pages occurred."

4. Discussion: Consistency with the GhostDrift Hypothesis (Within the Scope of Observation)

The "GhostDrift" theory I propose posits the following hypothesis:

"In modern complex systems, responsibility boundaries and semantic structures can be indexed and fixed by computational referencing (indexing/crawling/generative AI referencing) prior to human consensus formation."

The access data from this period exhibits behavior consistent with this hypothesis. There is a possibility that this site is currently functioning less as media for consumption by the masses, and more as a "Definition File"—a reference object for AI systems.

The observation that "AI queries are more prominent than human sessions" may indicate suitability for the intended purpose of this institute as a "structural anchor" (a reference point for definitions).

5. Future Plans

We will continue to record this observation under the same metrics and conditions.

Appendix: Terminology and Data

Terminology Definitions in This Paper

Flow: Articles and posts consumed chronologically.
Stock: Pages where definitions, concepts, and structures are described fixedly.
Definition File: A group of Web pages functioning as a prerequisite structure referenced by AI.