Amazely Grow your reviews and online presence automatically.

What is Amazely?

Amazely provides businesses with tools to automatically enhance their online presence and reputation. The platform focuses on significantly increasing the volume of Google reviews through automated email and SMS outreach, complete with follow-ups. It utilizes Artificial Intelligence to understand a business's unique aspects and generate authentic social media content, including relevant hashtags and scheduling capabilities.

Beyond content generation, Amazely actively manages online reputation. It features a system to shield brands from negative public reviews by redirecting dissatisfied customers to an internal feedback mechanism. For reviews that are posted, it employs AI to craft personalized responses, helping businesses maintain engagement and build trust. Furthermore, Amazely helps leverage positive feedback by showcasing top reviews directly on the business's website and across social media channels, aiming to improve conversion rates. Integration is facilitated through simple methods like email BCC and smart QR codes for seamless review collection.

Features

Automatic Review Collection: Automatically sends review requests via Email and SMS with follow-ups to increase Google reviews.
AI Social Media Content: Generates authentic social posts tailored to the business using AI, including scheduling and trending hashtags.
Review Marketing: Showcases the best 5-star Google reviews on the user's website and streams them to social media.
Negative Review Shield: Redirects users leaving negative ratings to an internal feedback form instead of public review sites.
AI Review Responses: Automatically drafts personalized, optimal responses to incoming customer reviews for approval.
Bulk Review Requests: Enables sending review requests to an entire customer list simultaneously.
Email Integration (BCC): Initiates review requests automatically when added as BCC to emails like invoices.
Smart QR Code: Collects Google reviews via QR code while filtering negative feedback internally.