Blinq — AI visibility report

How AI agents fetched /review/blinq/ on BlockSentient

Reporting period: May 18 – May 24, 2026 (Mon–Sun, 7 days)

Blinq was fetched 22 times by AI agents this week, down from 25 the prior week, with ChatGPT-User accounting for 17 of those fetches.

22 AI agent fetches this week.
Across 3 distinct AI agents, delivering 150 KB of content.
Pattern detected
50% of fetches concentrated on Mon

AI agent activity on this URL was overwhelmingly concentrated on a single day (Monday May 18, 11 fetches). This pattern is consistent with a discrete discovery event: a sitemap re-crawl, a high-traffic referrer, or a single user query that prompted multiple agents to fetch in close succession. The remaining 11 fetches were distributed across the other 4 day(s) of the week.

Total fetches
22
7-day window
Distinct agents
3
unique user-agents
Live retrieval
86%
19 fetches
Training/index
14%
3 fetches

Daily activity

Mon
11
Tue
5
Wed
2
Thu
0
Fri
0
Sat
3
Sun
1

Agent breakdown

Agent Operator Mode Fetches Share
chatgpt-user OpenAI Live retrieval 17 77.3%
meta-externalagent Meta Training/index 3 13.6%
perplexitybot Perplexity Live retrieval 2 9.1%

Methodology: every AI agent fetch of the Blinq review is logged by our servers and classified by its user-agent string. We distinguish live retrieval (a real user asked an AI chatbot a question, the chatbot fetched this page to answer it) from training/index (scheduled AI crawling for model updates). We publish a fresh AI Visibility report every Monday at 02:00 UTC, covering the most recent complete Mon–Sun week.

This weekly report is free and public. We're currently scoping a paid vendor product with historical trends, query-intent classification, and cross-site comparison.