Curation
AI testimonial ranking
Direct answer
Provoon ranking helps surface stronger testimonials for a page job—landing, pricing, product, or social—so you spend less time sorting a growing inbox. Suggestions are ranked; you still choose what publishes.
Sorting gets expensive as proof grows
Ten stories are easy to skim. A hundred from multiple campaigns is not. Ranking is for that middle stage: you have volume, but you still need the right quote on the right page without reading every submission twice.
Match stories to the page job
A pricing-page quote should speak to value and outcomes. A product page needs specificity about that offer. Social and ads need punchy lines. Ranking helps group candidates by those jobs so curation is intentional, not random.
Human approval stays required
Suggestions never auto-publish. You review brand voice, claims, and compliance. That matters for regulated industries, client work, and anyone who refuses to put unverified claims next to a CTA.
Works with your existing library
Rank new collection submissions and imported stories together. The goal is a usable shortlist, not a black box that replaces editorial judgment.
Quick answers
Does ranking publish testimonials automatically?
No. It suggests stronger candidates. You approve what goes live.
When do I need ranking vs manual sorting?
Manual sorting is fine early. Ranking helps once your inbox grows across products, clients, or campaigns.
Is ranking the only AI in Provoon?
No. Brand Monitor and related curation helpers also use AI where they save real sorting and research time. Display and embeds do not require it.
Related
Collect stories and embed a Wall of Love with Provoon.