CallRail — AI visibility report

How AI agents fetched /review/callrail/ on BlockSentient

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

CallRail was fetched 20 times by AI agents this week, down from 28 the prior week, with ChatGPT-User accounting for 15 of those fetches.

20 AI agent fetches this week.
Across 3 distinct AI agents, delivering 154 KB of content.
Pattern detected
95% of fetches occurred Mon–Fri

Activity was almost entirely confined to weekdays (19 of 20 fetches). This pattern is typical of training or indexing crawlers operating on business-hours schedules, or of B2B-driven user research. Weekend volume: 1 fetches.

Total fetches
20
7-day window
Distinct agents
3
unique user-agents
Live retrieval
80%
16 fetches
Training/index
20%
4 fetches

Daily activity

Mon
8
Tue
6
Wed
3
Thu
0
Fri
2
Sat
1
Sun
0

Agent breakdown

Agent Operator Mode Fetches Share
chatgpt-user OpenAI Live retrieval 15 75.0%
meta-externalagent Meta Training/index 4 20.0%
perplexitybot Perplexity Live retrieval 1 5.0%

Methodology: every AI agent fetch of the CallRail 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.