Shopify Store Health Audit

Paste your store's product, pricing, and ad data, get a prioritized fix list with before/after diffs (never auto-applied).

A full-store operator audit, not a single-listing rewrite or a bundling tool. For a single listing, use Product Listing Optimizer, and for cart bundling, use Cart Cross-Sell & Bundler. Paste raw store data (product titles/descriptions, current pricing, ad spend with reported ROAS, and recent order volume) as JSON or CSV-like text, and it runs a structured health check across three lanes: SEO (weak or missing title keywords, thin meta-style descriptions), PDP conversion (missing trust signals, feature-only descriptions with no benefit stated), and ad economics (does the reported ROAS actually reconcile with the order volume, or is something off). Every finding comes back as a proposed change with a before/after diff; it reads and reasons over what you pasted, it never claims to have written anything to your store. Example input: "{\"products\":[{\"title\":\"Mug\",\"description\":\"A mug.\",\"price\":14.99}],\"ad_spend_usd\":2000,\"reported_roas\":4.5,\"orders_last_30d\":38,\"avg_order_value_usd\":22}" Example output: "{ seo_findings: [{ product: 'Mug', issue: 'generic title with no keyword', before: 'Mug', after: 'Ceramic Coffee Mug, 12oz, Dishwasher Safe' }], pdp_findings: [{ product: 'Mug', issue: 'no trust signals, feature-only copy', before: 'A mug.', after: 'A sturdy 12oz ceramic mug built for daily coffee. Ships free, 30-day returns, dishwasher and microwave safe.' }], ad_economics: { reported_roas: '4.5', reconciles_with_orders: false, note: 'Reported ROAS implies ~$9,000 revenue at $2,000 spend, but 38 orders at ~$22 AOV is only ~$836. Figures do not reconcile.' }, action_items: [{ priority: 'high', area: 'ad_spend', proposed_change: 'Reconcile ad platform ROAS reporting against actual order data before trusting the reported number.', before: 'ROAS reported as 4.5x', after: 'Recalculate ROAS from actual order revenue' }], no_changes_written: true }"