Nexscope Ecommerce AI Tools
Practical ecommerce research, SEO, creative AI, and API workflows from the Nexscope team. This repository is a public library of guides, dated evidence, examples, and support resources for sellers and developers. The hosted Nexscope application runs separately; its source code is not in this repository.Product Gallery: get feedback on your product page
The free ecommerce product page review starts with feedback on the product page you already have. Submit a public product URL or Amazon ASIN, product details, and images; video is optional. After editorial review, read what works and any evidence-based improvements on your private management page, whether or not the product is approved for publication. We do not invent changes to reach a target number. If approved and published, the product also receives a free public Gallery page, creating another discovery route to the original listing without guaranteed traffic. Request free product-page feedback · How the review works · Join this week's product-page clinic No store connection, seller token, or payment access is required. Save the private management link shown after submission to read your feedback; there is no fixed review deadline or automatic status email. Submissions remain offline until approved and published. Publication, search rankings, traffic, and sales are not guaranteed.About Nexscope
Nexscope helps ecommerce teams research marketplaces, analyze customer feedback, improve listings and search visibility, create product images and videos, and connect data to their own applications or AI agents through REST APIs and MCP. Sellers can use the browser tools; developers can inspect endpoint schemas, examples, and access requirements in the API documentation. New users receive 1,000 free credits to get started. Create an account. Credit use and API access vary by action and account.What this repository contains
- Practical guides under
docs/guides/for marketplace research, listing improvement, creative production, SEO, REST APIs and MCP. - Dated evidence and case studies under
docs/api-evidence/anddocs/case-studies/with observed outputs, limitations and source context. - Public learning-site source under
docs/and maintenance scripts underscripts/for the Product Gallery and documentation build. - Community contribution paths through Discussions, Issues and pull requests governed by
CONTRIBUTING.md.