Stamped.io vs Duckie

Side-by-side comparison of AI visibility scores, market position, and capabilities

Stamped.io

GrowtheCommerce

Reviews & Loyalty

Stamped.io is a reviews and loyalty platform for eCommerce brands, combining product reviews, NPS, Q&A, and loyalty programs in a single app.

About

Stamped.io is an eCommerce reviews and loyalty platform that consolidates product reviews, Net Promoter Score surveys, visual user-generated content, Q&A widgets, and customer loyalty programs into a single integrated application for Shopify and other eCommerce platforms. The reviews module automates post-purchase collection through email and SMS review request sequences, with smart timing logic that waits for product delivery before soliciting feedback to improve review quality and reduce negative reviews driven by shipping delays. Collected reviews can be displayed on product pages, collection pages, and checkout flows through customizable widgets, and syndicated to Google Shopping for rich snippet star ratings in search results.

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Duckie

EmergingInfrastructure

IT Operations

SF YC W24 AI support agent builder at 80% resolution time reduction and 71% ticket deflection; $500K from a16z/Greylock/YC/Netflix competing with Intercom Fin for customer support AI workflow automation.

AI VisibilityBeta
Overall Score
D25
Category Rank
#18 of 68
AI Consensus
59%
Trend
stable
Per Platform
ChatGPT
33
Perplexity
19
Gemini
36

About

Duckie is a San Francisco-based AI customer support platform — backed by Y Combinator (W24) with $500,000 in funding from Y Combinator, Andreessen Horowitz, Greylock, KungHo Fund, Netflix, and 5 additional investors — providing customer support teams with an AI agent builder that translates existing support processes and workflows into predictable, reliable AI automation, achieving 80% reduction in resolution time and 71% ticket deflection for deployed teams. Founded in 2023 and targeting customer support leaders at growth-stage software companies, Duckie enables support teams to deploy AI agents in minutes without engineering dependency.

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