Review and Commentary on the June 2025 Goo Blog Access Analytics

Regarding the June 2025 Goo Blog access analytics, I have reviewed ChatGPT’s analysis and provide my perspective below.

1. Trends in the Top Page and Article PVs
It is natural that the top page recorded the highest number of PVs, since it functions as the main entry point to the blog.
Looking at the individual articles, as ChatGPT noted, themes such as China, fentanyl, politics, and security dominate the rankings. In particular, the keywords “China” and “Xi Jinping” appear across multiple articles, clearly attracting high interest.
While ChatGPT highlighted “fentanyl and drug issues” as an independent topic, it should be noted that these articles (ranked 4th, 11th, 15th, and 32nd) are also largely tied to China. This reflects the international context in which China is regarded as a major source of fentanyl.

2. Access Sources (User Agents)
ChatGPT pointed out the high PV numbers from crawlers such as “Googlebot” and “Twitterbot.” While this can occur with many blogs, the analytics data shows that Chrome alone accounts for about 171,000 PVs, far surpassing Googlebot’s 30,000 PVs. This indicates that ChatGPT’s statement that “crawler traffic is disproportionately high” is not entirely accurate in terms of overall ratio.
When aggregating human accesses (Chrome, Android, iPhone/iPod, Safari, etc.) versus crawler accesses (Googlebot, Applebot, Twitterbot, etc.), the numbers are:

• Human traffic: 207,854 PVs
• Crawler traffic: 52,715 PVs

This means that human readership accounts for about 80% of total traffic. Thus, it is not appropriate to conclude that “human readership is relatively low.” For a blog of this scale, such crawler activity is within a reasonable range.

3. On Possible Irregularities
ChatGPT speculated about “unnatural crawling” and “search suppression.” However, the provided data alone is insufficient to draw such conclusions.

• A Googlebot figure of 30,000 PVs can be reasonable depending on the blog’s size, frequency of updates, and topicality.
• To determine whether search suppression is taking place, one would need detailed data on search rankings, keyword-driven traffic, and competitor benchmarks. PV data alone is not enough.

Conclusion
ChatGPT’s analysis is correct in its basic categorization of popular keywords, but its interpretation of crawler PVs was overstated and not fully supported by the data. The June 2025 Goo Blog access analytics instead show a typical trend for a popular blog, where international politics and security issues attract strong interest.