Fake engagement check for @AI_to_business
ИИ работает за тебя | Внедрение ИИ в бизнес — public reach metrics and manipulation-risk assessment dated 2026-08-15.
Авторский канал о том, как заставить ИИ работать за тебя. Никаких курсов. Youtube: https://www.youtube.com/@AI_to_business Агрегатор нейросетей: @gpttop_pro_bot Реклама: @adv_ai_to_business
Evidence snapshot
The @AI_to_business assessment dated 2026-08-15 uses 40 recent public posts. At that snapshot the channel had 14,570 subscribers, median post views were 7,464, ERR was 51.2%, and the cleanliness index was 55/100.
Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.
Advertising outlook
Advertising placement: questionable.
The recommendation is limited by manipulation risk: some views may be artificial.
Estimated 48-hour reach: 2,154–4,306 views.
What grade C means
Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.
This page shows the saved result dated 2026-08-15. The bot collects a new snapshot for a current report.
Monitor this channel
Monitoring reruns the assessment and sends an alert when ERR drops, subscribers change abnormally, or the cleanliness index moves.
Monitor @AI_to_businessQuestions about @AI_to_business
What does grade C mean for @AI_to_business?
Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.
What is the ERR of @AI_to_business?
ERR is 51.2%. Median post views equal 51.2% of the channel's 14,570 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 55/100 index combines several public-data signals, including reach relative to audience size, audience behavior, and channel metadata. It is a probabilistic assessment, not proof of intentional manipulation.
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This automated assessment is probabilistic. It describes statistical signals in public data and does not claim intentional manipulation. Channel owners can run a new check or contact support to request removal.