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Vetted

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AI-driven shopping assistant aggregates expert, user reviews, and Reddit insights.

free· for any stage

Vetted is a consumer-facing AI shopping agent that ranks products by mining Reddit threads, YouTube reviews, expert publications, and verified buyer feedback. Shoppers type a query and receive ranked picks with sourced citations, price history, and deal-breaker flags pulled from real discussions. For ecommerce leaders, it's a signal of how AI agents are reshaping product discovery — bypassing SEO-optimized listicles and routing demand through aggregated review sentiment instead.

> pick this if

Pick this if you're a brand or retail strategist who needs to understand how agentic shopping assistants rank your category and which review sources drive their citations — not a SaaS product you deploy, but a market signal you monitor.

> look elsewhere if

Look elsewhere if you're looking for a merchant-side integration, API access, sponsored placement, or any mechanism to influence rankings — Vetted is a consumer tool with no brand dashboard, MCP surface, or paid tier.

> Vetted is used by

  • Walmart
  • Amazon
  • Best Buy

> Vetted is built for

  • platform-agnostic

> what it does for ecommerce

  • Ranks products using Reddit threads, YouTube reviews, and expert publications
  • Cites source discussions so shoppers can verify each recommendation claim
  • Tracks price history and flags deals across major retailers
  • Surfaces deal-breaker patterns extracted from verified buyer complaints
  • Operates as a browser extension and standalone conversational search agent

> how you'd use it

  • DTC home goods brand, $20M–$80M GMV, 8-person growth team
    Monitoring how the brand's SKUs surface (or don't) inside Vetted's ranked results versus competitors, and reverse-engineering which Reddit threads and YouTube reviewers are driving the citations
    → Shifts a portion of influencer and community budget toward the specific creators and subreddits Vetted weights most heavily, reducing reliance on listicle SEO that agentic shoppers increasingly skip
  • Consumer electronics retailer, $200M+ GMV, enterprise merchandising and CX leads
    Extracting the deal-breaker patterns Vetted surfaces for the retailer's top-20 categories to feed into PDP copy revisions, return-reason analysis, and supplier QA conversations
    → Product teams get a structured read on complaint clusters already visible to AI shoppers, letting merchandising pre-empt objections before Vetted's agent flags them to buyers mid-query
  • Ecommerce strategy lead at a mid-market beauty group, $30M GMV, 3-person analytics team
    Using Vetted as a weekly competitive-intel scan — running category queries to see which brands the agent ranks, what sources it cites, and how price history affects recommended picks
    → Feeds a quarterly 'agentic discovery' report to the CMO documenting share-of-voice inside AI shopping tools, independent of Google rankings

> Vetted use cases

> Vetted key features

  • Product Recommendations: Vetted provides tailored product recommendations, guiding users towards items that align with their specific needs and preferences.
  • Ratings & Reviews: Users can leverage Vetted to identify potential deal breakers by accessing comprehensive ratings and reviews from verified sources.
  • Price Tracking: Vetted ensures users never overpay for products by monitoring and tracking prices, enabling them to secure the best deals available.

> compliance & trust

  • CCPA

> alternatives to Vetted in our index

by shared use-case

> Vetted pairs well with