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Ratings and Reviews 0 Ratings
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Proofling is an AI testimonial collection agent designed to help founders, startups, and businesses gather customer proof automatically in the background. The platform allows users to paste customer lists or connect Stripe so testimonial requests can be triggered from real customer relationships. Proofling sends personalized private requests, follows up once a few days later, and captures consent without requiring users to manually chase responses. Because replies remain private until approved, businesses can review honest feedback before deciding what appears publicly. Approved testimonials can be added to a hosted Wall of Proof, embedded on a website, shared through signed pages, or exported for use in other marketing materials. The platform emphasizes authentic social proof by using real customer context, verified-buyer badges, honest tags, and consent records instead of fake ratings or inflated review widgets. Proofling also helps protect sender reputation by pausing risky sends when bounce or complaint signals appear. Businesses own their testimonials, customer data, and consent records, making it easier to reuse quotes across landing pages, pricing pages, sales materials, and AI-readable exports. Its proof.json and proof.md exports help AI assistants, search crawlers, and discovery tools understand customer proof in a structured format. Proofling is built for teams that already have happy customers but do not have time to ask, follow up, organize permissions, and publish testimonials manually. By automating the unglamorous parts of testimonial collection, Proofling helps companies build trustworthy social proof with minimal effort.
What is ApproveForMe?
ApproveForMe is a remarkably intuitive document approval platform that gathers all feedback in one centralized location. To begin, simply log in and select the document you want to share with your reviewers. You can enhance clarity by adding details such as a title and description. Following that, enter the email addresses of those who will contribute their insights. Once you set a deadline, just hit "Submit." Reviewers will receive an email invitation, and they won’t need to log into ApproveForMe; they can easily access it via the link provided! As feedback from each approver rolls in, your project will be updated in real-time, and you will receive notifications throughout the process. This ensures all feedback is neatly organized in one area, eliminating the hassle of searching for disparate comments. You can share draft materials and get timely feedback, which helps you efficiently manage quotes, specifications, and invoices without the burden of manual follow-ups. Moreover, you can also secure approvals for board agendas and minutes all in one consolidated space. By gathering valuable, actionable feedback from clients, you not only enhance their satisfaction but also strengthen professional relationships. Ultimately, this tool enables founders to remain aligned, ensuring they continue to make swift progress. Designed to facilitate smooth communication and boost productivity across teams, it cultivates a collaborative environment that supports effective teamwork. Additionally, the platform allows for easy tracking of changes, ensuring that everyone is on the same page.
Media
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Integrations Supported
API Availability
API Availability
Pricing Information
$19/month
Pricing Information
$2 per month
6 reviews
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
Donkeh Labs
Date Founded
2026
Company Location
Australia
Company Website
proofling.com
Company Facts
Organization Name
ApproveForMe
Date Founded
2013
Company Location
United States
Company Website
www.approveforme.com
Categories and Features
AI Review Management
Not specified
Review Management
Not specified
Categories and Features
Document Management
Not specified
Workflow Management
Not specified