How AI agents fetched /review/ibm-text-to-speech/ on BlockSentient
Reporting period: May 11 – May 17, 2026 (Mon–Sun, 7 days)
IBM Text to Speech was fetched 45 times by AI agents this week, up from 10 the prior week, with ChatGPT-User accounting for 32 of those fetches.
AI activity clustered into a Fri-through-Sun window: 37 of 45 fetches (82%). Earlier weekday volume: 8 fetches. This pattern is consistent with a brief discovery event followed by drop-off.
| Agent | Operator | Mode | Fetches | Share |
|---|---|---|---|---|
| chatgpt-user | OpenAI | Live retrieval | 32 | 71.1% |
| meta-externalagent | Meta | Training/index | 5 | 11.1% |
| perplexitybot | Perplexity | Live retrieval | 4 | 8.9% |
| bytespider | ByteDance | Training/index | 3 | 6.7% |
| oai-searchbot | OpenAI | Live retrieval | 1 | 2.2% |
Methodology: every AI agent fetch of the IBM Text to Speech 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.