Stable signalNo paid features detectedMedium-risk permissions

AliAssist: shopping assistant

Search by image on the biggest Chinese marketplace to find the best prices!

Users100KCurrent public install base

Rating4.6Store average score

Reviews385Public review volume

Manifest versionV3Extension platform version

7-day growth0Net users gained this week

7-day growth rate0%Relative weekly velocity

Preview

AliAssist: shopping assistant Media preview

2 assets

Trend

User growth trend

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User Growth Over Time

Rating trend

7-day rating trend

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7-day rating change

Start

4.62

Latest

4.63

7-day rating change

+0.01

2026年7月14日2026年7月20日

Growth overview

Daily, weekly, and monthly growth

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1-day growthFlat

00%

7-day growthFlat

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30-day growthFlat

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Technical snapshot

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Review publication date, version, supported languages, and crawl timestamps.

Version0.0.0.77

ManifestV3

Size2.64MiB

Languages3English / español / русский

Published--

Store updated--

Last crawled--

Overview

Product summary

Review the store description, core capabilities, and common use cases.

In China, there are various sellers with different prices and qualities; our extension will help you automate this research so you don't waste hours searching.

How to use:

1. Right-click on an image on any website.

2. In the context menu, click "Search by Image."

This is the best way to find the best deals and lowest prices when shopping!

How it works:

Reviews

Recent review snapshot

Inspect the latest comments and rating distribution.

Store average score4.6Chrome Web Store aggregate rating, including ratings without synced review text

Synced text average4.6Average computed only from synced review bodies below

Reviews with text324Synced review bodies

Total ratings / reviews385Chrome Web Store public rating/review count

Store average score: 4.6. The bars below are calculated from synced review text only, so they may be empty for extensions that have public ratings but no synced comments yet.

5★

291

4★

3★

2★

1★

lucas bigard2024年2月9日

A que mais estou usando no momento

jose maria sick2024年2月9日

It´s good!

geverson morais2024年2月9日

Achei a plataforma bem completa e está me ajudando bastante, recomendo!

Juliano Frisson2024年2月9日

bem da hora

carlos whikosk2024年2月1日

achei as funcionalidades bem interessantes, recomendo

fabiano mendes2024年1月25日

Gostei bastante da pesquisa por imagem

luiz gabardo2024年1月24日

topppppppp!

cassio marcondes2024年1月22日

To curtindo pra caramba!

juliano soares2024年1月19日

Tá me ajudando demais

robson freitas2024年1月5日

Curti demais, é topp!!!

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AI product read

AliExpress shopping assistant that performs AI-powered reverse image search to find similar products with the best prices on AliExpress (and other e-commerce platforms)

Finding the best deals when shopping on Chinese/Asian marketplaces is time-consuming due to many sellers offering the same products at different prices and quality levels. The extension automates product discovery by letting users right-click any image on the web to instantly find visually similar products on AliExpress.

User browses any website and finds a product image they like. They right-click the image → 'Search by Image' in context menu. The extension sends the image URL to its backend API which uses AI to identify the product and perform a reverse image search on AliExpress. Results are displayed in an overlay modal showing product images, titles, prices, sales counts, and ratings. Users can also use similar product search, AI Super Search, view reviews, browse trending items, and calculate reseller profit margins. Links to product pages include affiliate referral parameters.

Target users: Online shoppers looking for deals on AliExpress and similar platforms / Dropshippers and resellers comparing prices across Chinese marketplaces / Brazilian consumers (heavy focus on Brazilian e-commerce affiliates) / International bargain hunters

The globalProgram.bundle.js file contains an extensive embedded MercadoLivre category database with premium/classic fee fields, but these are marketplace fee structures (not extension paid features) - the file is actually a Brazilian affiliate redirect system covering 30+ e-commerce sites.
The extension has a secondary purpose as a Brazilian affiliate marketing aggregator (globalProgram.bundle.js) beyond its primary AliExpress shopping assistant functionality.
The backend URL (primaz-aliexpress-bot.herokuapp.com) is a Heroku app whose server-side logic cannot be inspected from the extension source alone.

Monetization

No paid features detected

The store description explicitly states 'AliAssist is a completely free tool, and you will never be charged for using it.' No payment platforms (Stripe, PayPal, etc.), subscription logic, feature gating, or upgrade UI exist in the source code. The 'premium' keyword hit in index.bundle.js refers to embedded MercadoLivre marketplace fee categories (sale_fee_amount.premium), not the extension's pricing. The extension monetizes through affiliate referral links (awin1.com, apretailer.com, monetizze.com.br, etc.) to e-commerce sites like AliExpress, Amazon, Shopee, Kabum, and many Brazilian retailers, but users are never charged.

Confidence: 95
Payment platform: --
Source: AI / High
Login required: No
Reason: The extension's core workflow (right-click on any image → context menu 'Search by Image' → view AliExpress product results) requires no authentication. The manifest requests only 'contextMenus' and 'storage' permissions. The background service worker calls a backend API (primaz-aliexpress-bot.herokuapp.com) without any auth headers, tokens, or credentials. No login UI, sign-in forms, or account creation flows exist in the source code. The only 'login' keyword hits are false positives from Bootstrap copyright text ('auth'), MercadoLivre shipping cost locale strings ('account'), and Chrome extension signature metadata ('jwt').

Permission risk

Medium-risk permissions

This estimate uses declared permissions and host permissions to assess access scope and sensitivity.

扩展能力较强：storage

Publisher

AliAssist

Independent publisher

Email: [email protected]
Phone: --
Address: --

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