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I built a free Shopify catalog audit tool and ran 700+ audits to test it

I've been building CatalogAudit , a free tool that checks Shopify product catalogs for issues with product feeds, structured data, and how AI shopping agents interact with stores. Instead of testing it on a few demo stores, I collected real Shopify stores online and ran 698 audits across 680 unique stores. Those stores have a combined 359,890 products. The audits inspected 14,901 sampled products. Here are some findings: 613 stores (90%) had products missing structured attributes

五维评分

付费意愿

需求真实度

个人可落地

竞争空间

新鲜度

AI 分析

痛点：大量 Shopify 店铺商品目录存在结构化属性、退换货政策、GTIN、图片 alt 文本缺失问题，并且 AI 购物代理可读性差，导致商品在搜索和 AI 购物场景中表现受限。

目标用户：Shopify 店主、电商运营人员、独立站代运营和 SEO/Feed 优化服务商

证据：613 stores (90%) had products missing structured attributes like color, size, or material. 223 stores (33%) had at least one failed automated agent add-to-cart check. I'm considering building automatic fixes for the is

变现：免费审计作为获客入口，按店铺/产品数量收取自动修复、定期监控和 AI agent readiness 报告订阅费；也可面向代运营机构提供白标报告和批量修复服务。

MVP：做一个 Shopify 商品目录问题扫描 + 一键生成修复建议的 MVP：支持导入店铺 URL 或商品 CSV，检测结构化属性、GTIN、alt 文本、政策标记和 agent 可读性，输出可执行修复清单、批量修改模板和每周复扫提醒。

竞品：Shopify 自带产品/SEO 检查、DataFeedWatch、Feedonomics、SEO 类 Shopify App、Google Merchant Center 诊断工具

摘要：作者用 Claude Code 做了免费 Shopify 目录审计工具 CatalogAudit，并对 680 家店铺、约 36 万个商品做了 698 次审计。结果显示 90% 店铺缺少颜色/尺寸/材质等结构化属性，33% 店铺至少有一个 AI 购物代理加购检查失败，平均 feed 分 65/100、AI agent-readiness 分 50/100。作者正在考虑做自动修复，说明免费审计可自然延伸到付费修复与监控。