Category
Business Management
Built by
Beam.ai
Curate testimonials and reviews from Trust, automating social-proof work like tagging new video submissions for the website.
Video testimonial intake
Trust records short video testimonials from customers through a hosted request link. A Beam agent watches for a new submission, reads the responder details and any text they added, and applies your tagging rule to sort it by product or use case. Approved-format clips are marked ready and the owner is notified; incomplete or low-quality submissions are held. When a testimonial names a person or claim that needs clearance, the agent does not publish it but routes it to a marketer for approval, so consent and accuracy are checked by a human before a customer's face appears on your site.
Website review embedding
Trust places collected reviews and testimonials onto your site without a developer. A Beam agent reads the pool of approved items, applies the rule your team set for which appear on which page, and updates the displayed selection through the connector. It refreshes the set on a schedule and notes what changed. Items that lose approval or reference an expired offer are pulled from display and flagged. Anything the agent is unsure is cleared for public use is left off the page and routed to a person, so only vetted social proof reaches visitors.
Testimonial request tracking
Trust sends requests asking customers to leave a video or written testimonial. A Beam agent reads which requests were sent, opened, and completed, and applies your follow-up rule to the ones still outstanding. It can log the status on the linked customer record and prompt the owner about strong responses worth featuring. Requests to customers marked sensitive, or accounts flagged do-not-contact, are skipped and surfaced to a person instead. This keeps outreach organized while leaving judgment about who to ask, and who to leave alone, with a human.







