ChatGPT Plugin

Catalog CLI Pro

Audit Amazon catalogs

Brand: Catalog CLI

Category: Commerce
Primary Subcategory: Marketplace Seller, Dropship & Wholesale Tools

Integration details

Description

Catalog CLI Pro helps users inspect uploaded Amazon Category Listing Reports from ChatGPT. Users can list available catalogs, run catalog quality audits, summarize priority issues, drill into specific checks such as missing attributes or intent-based bullet coverage, and understand duplicate-row filtering in scan results.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Commerce
Primary Subcategory: Marketplace Seller, Dropship & Wholesale Tools
Secondary Subcategories: None listed
Brand: Catalog CLI
Access: Account required
First tracked: 2026-07-14
Tool count: 6
Market: US

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Primary Subcategory

Competing in ChatGPT Marketplace Seller, Dropship & Wholesale Tools

View Category

Listed in alphabetical order

Primary Subcategory

Adzviser Amazon Seller CentralComing soonGet notified

AgentXrayComing soonGet notified

Airsup SearchComing soonGet notified

Amazon Product ResearchComing soonGet notified

Catalog CLI ProComing soonGet notified

Tools

6 tools agents can invoke

Run a specific query on a catalog. Recommended for drilling into issues found via catalog_scan_summary. Use limit and offset to paginate. Args: catalog_id: ID of the uploaded catalog query: Query name (e.g. "missing-attributes", "intent-bullets") limit: Max issues to return (default: 50) offset: Skip first N issues (default: 0) Returns: JSON string with query results
List catalogs uploaded to the user's Catalog CLI Pro account. Use this before saying whether a new CLR upload is visible. Catalog CLI Pro catalogs are account records, not ChatGPT File Library files. Args: limit: Max catalogs to return (default: 20) offset: Skip first N catalogs (default: 0) Returns: JSON array of catalogs with id, filename, status, sku_count, marketplace
List all available audit queries. Returns: JSON array of query objects with name and description
Scan a catalog with all or selected queries. Returns issues grouped by query. Results are limited to 50 issues per query by default. The total_issues field shows the true count. Use offset to paginate. For a lightweight overview, use catalog_scan_summary first. Args: catalog_id: ID of the uploaded catalog queries: Query names to run (omit for all queries) limit: Max issues to return per query (default: 50) offset: Skip first N issues per query (default: 0) Returns: JSON string with scan results including issues grouped by query
Get a high-level summary of all issues without individual issue details. This is the recommended first step when auditing a catalog. Returns issue counts and affected SKU counts per query. Use catalog_check to drill into specifics. Args: catalog_id: ID of the uploaded catalog queries: Query names to run (omit for all queries) Returns: JSON summary with per-query issue counts and affected SKU counts
Get schema for queries, request params, and response shapes. Args: query_name: Optional specific query to get schema for (omit for all) Returns: JSON schema describing available queries and their details

FAQs

Catalog CLI Pro ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Catalog CLI Pro's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Catalog CLI Pro alternatives on ChatGPT?

As of 2026-11-02, Catalog CLI Pro competes with Adzviser Amazon Seller Central, AgentXray, Airsup Search, Amazon Product Research, Celadon Wholesale, Commerce 360, DataGlass, Dropshipping Product Scout and 30 more in ChatGPT Marketplace Seller, Dropship & Wholesale Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.