> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.bigcommerce.com/developer/docs/ai-tools/catalog-enrichment/review/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.bigcommerce.com/_mcp/server.

# Reviewing results

> Build amazing commerce solutions powered by the BigCommerce platform

## Docs

- [Understanding quality scores](https://docs.bigcommerce.com/developer/docs/ai-tools/catalog-enrichment/review/quality-scores.md): How enrichment scores accuracy, consistency, and brand adherence, how issue-based scoring works, and how to set thresholds.
- [Reviewing at scale](https://docs.bigcommerce.com/developer/docs/ai-tools/catalog-enrichment/review/reviewing-at-scale.md): How to review up to 250 products — using scores to triage, what to check per field, and when to stop editing and fix your inputs instead.
- [Deciding what to change](https://docs.bigcommerce.com/developer/docs/ai-tools/catalog-enrichment/review/what-to-change.md): How to diagnose whether weak output comes from your inputs or your source data, and what to change before re-running.