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AI E-commerce Store Auditor & Fix-Prioritizer
An automated tool that analyzes a new e-commerce store and instantly identifies why it's not converting. It checks for UX issues, missing trust signals, out-of-stock items on homepage, and calculates the unit economics (AOV vs. CPC) to tell the owner exactly what to fix first before spending on ads.
Pourquoi c'est important
You have just launched your online store, spent money on ads, and gotten zero sales. You don't know if the problem is your website design, your ad targeting, or your product pricing. Experienced sellers tell you it's a math problem or that your site lacks trust signals, but you lack the expertise to identify these issues yourself. You are burning ad budget with no return and need an experienced consultant to tell you exactly what is broken and what to fix first, but you cannot afford to hire an agency. You need an automated tool that instantly audits your store and gives you a prioritized fix list.
- · Conçu pour New, inexperienced e-commerce store owners who have launched a site but are getting zero or very few sales and don't know why..
- · Monétisation la plus probable : SaaS subscription.
La douleur · Récit
You have just launched your online store, spent money on ads, and gotten zero sales. You don't know if the problem is your website design, your ad targeting, or your product pricing. Experienced sellers tell you it's a math problem or that your site lacks trust signals, but you lack the expertise to identify these issues yourself. You are burning ad budget with no return and need an experienced consultant to tell you exactly what is broken and what to fix first, but you cannot afford to hire an agency. You need an automated tool that instantly audits your store and gives you a prioritized fix list.
Détail du score
Signal du marché
Mise sur le marché
First-time Shopify or WooCommerce store owners who have launched in the last 3 months and are actively running ads with zero conversions.
~100,000+ new stores per month globally fit this profile
SEO long-tail targeting queries like 'why is my shopify store not getting sales' and 'ecommerce site audit tool'
$29/month
20 paying users from organic search and community sharing within 30 days
Périmètre MVP · 1–2 semaines
- Build a Playwright-based crawler that can extract product info, homepage layout, and policy pages from a Shopify URL
- Create a rules engine that checks for obvious errors: sold-out items on homepage, missing return policy, no reviews visible
- Develop a simple UI where a user inputs their store URL and CPC/AOV estimates
- Integrate OpenAI API to generate a natural language summary of issues found
- Deploy the MVP as a web app with a paywall after the first free audit
- Add unit economics calculator showing required conversion rate based on user's CPC and AOV inputs
- Implement a mobile viewport crawler to check for mobile-specific UX issues
- Create a prioritized action plan output (Critical/High/Medium/Low) instead of a flat list
- Add support for WooCommerce stores by detecting platform and adjusting scraper
- Set up a basic dashboard for users to re-audit their store after making fixes to track progress
Différenciation
Pourquoi cela pourrait échouer
Auto-contre-argument — le signal de confiance le plus important
- 1Reason 1 — The scraper may break frequently across the vast variety of custom Shopify themes, making the tool unreliable and producing false positives that erode trust.
- 2Reason 2 — Users in this segment are often extremely price-sensitive and may only use the tool once for a free audit, then churn without subscribing to a monthly plan.
- 3Reason 3 — Existing tools like Store Inspector or SEO audit tools may add similar features quickly, leveraging their existing distribution to outcompete a new entrant.
Résumé des preuves
Comment l'IA a synthétisé cet aperçu — pas de citations textuelles
Multiple commenters in the discussion pointed out that the store owner's lack of sales stemmed from diagnosable issues: sold-out products on the homepage, lack of reviews and trust signals, and poor unit economics where low AOV makes paid ads unprofitable. The store owner themselves expressed confusion about whether the problem was their ads or their site, highlighting the need for a diagnostic tool. Several experienced sellers provided manual checklists, validating the audit criteria but underscoring the gap in automated tools that can perform this analysis instantly for non-experts.
Plan d'Action
Validez cette opportunité avant d'écrire du code
Prochaine Étape Recommandée
Construire
Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.
Kit de Textes pour Landing Page
Textes prêts à coller, basés sur le langage réel de la communauté Reddit
Titre Principal
AI E-commerce Store Auditor & Fix-Prioritizer
Sous-titre
An automated tool that analyzes a new e-commerce store and instantly identifies why it's not converting. It checks for UX issues, missing trust signals, out-of-stock items on homepage, and calculates the unit economics (AOV vs. CPC) to tell the owner exactly what to fix first before spending on ads.
Pour Qui
Pour New, inexperienced e-commerce store owners who have launched a site but are getting zero or very few sales and don't know why.
Liste des Fonctionnalités
✓ Automated site crawler that checks for broken UX (sold-out items on homepage, slow images, missing policy pages) ✓ Trust signal audit (review count, about page presence, contact info visibility) ✓ Unit economics calculator (input CPC and AOV, output required conversion rate to break even) ✓ Prioritized action plan generated by AI (e.g., 'Critical: Fix homepage stock. High: Add reviews. Medium: Increase AOV with bundles') ✓ Mobile checkout timer and friction analyzer
Où Valider
Partagez votre landing page sur r/r/ecommerce — c'est exactement là que ces points de douleur ont été découverts.
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