Review monitoring

Trustpilot collects public reviews and star ratings about a company. A Beam agent watches for a new review, reads its score and text, and applies your rule for what happens next. Positive reviews are logged for reporting, while critical ones are routed to the owner with the full detail attached. It tags reviews by topic so patterns show up over time. When a review carries a serious allegation or wording the agent cannot classify, it escalates to a person at once rather than filing it, so nothing damaging sits unseen and every response decision stays with your team.

Review response drafting

Trustpilot lets a company reply publicly to reviews. A Beam agent reads a new review, and where your team approved templated responses, it drafts a reply matching the review's topic and tone for a person to approve. It never posts on its own for anything negative or sensitive. Approved routine replies can be queued, while complaints, legal mentions, or unclear cases are handed to a human to write. This keeps response times reasonable and the public voice consistent, but leaves the published wording under human control, since a reply is visible to every prospect.

Rating trend alerts

Trustpilot aggregates reviews into an overall score that shifts as new ones arrive. A Beam agent reads the current rating on a schedule, compares it against the baseline your team set, and updates your internal record when it moves. A drop past an agreed threshold triggers an alert to the owner with the recent reviews that caused it. When the change is small or within normal noise, the agent simply logs it. Anything that looks like a coordinated spike or drop is routed to a person to investigate, rather than treated as a routine change.