useagentshop Review, Pricing & Features

agentShop helps e-commerce brands get recommended by AI assistants like ChatGPT and Perplexity, tracking share-of-recommendation and AI-driven revenue. See…

Category
AI
Pricing
Tiered per-store subscription billed in USD: Basic $57.49/mo ($49.99/mo billed annually) for up to 50 products, Pro $287.49/mo ($249.99/mo billed annually) for up to 250 products, and custom-priced Enterprise for unlimited products via demo. Basic and Pro include a 14-day free trial; extra usage beyond plan limits is billed via flex credits at $0.01 each.
Verified
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Last updated
August 6, 2026
Free TrialSubscriptionAutomationAI

agentShop is a SaaS platform built for e-commerce brands that want their products surfaced when shoppers ask AI assistants like ChatGPT, Gemini, and Perplexity for recommendations. It structures a merchant's product data (SKUs, attributes, benefits) so AI models can understand and recommend it, syncs that feed to multiple AI platforms in near real time, and tracks 'share-of-recommendation' — how often a brand's products appear in AI answers versus competitors. The platform also attempts to attribute revenue to AI-influenced purchases that would otherwise show up as unexplained direct or branded traffic in standard analytics, and includes an experimentation engine for A/B testing product listings across AI platforms.

Key Features

Pros & Cons

Pros

  • Purpose-built for a genuinely new problem: measuring and improving AI-assistant product recommendations rather than traditional SEO
  • Tracks a distinct 'share-of-recommendation' metric to benchmark against competitors
  • Tiered plans (including a 14-day free trial) make it accessible to smaller DTC brands, not just enterprise
  • Covers multiple major AI platforms (ChatGPT, Gemini, Perplexity) rather than a single one

Cons

  • Company transparency is limited — no founder names, headquarters, or founding date disclosed on the site
  • Enterprise pricing is hidden behind a required demo call
  • AI-recommendation attribution is inherently hard to verify independently, since AI platforms don't expose this data directly
  • Category is very new, so long-term efficacy and platform stability are unproven

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