Biasque's AI agent searches Shopify's catalog the way real shoppers do — and records exactly which products it picks, which it skips, and why. Find out where your store stands.
Results reflect Biasque's own AI agent and may differ from ChatGPT, Perplexity, or other services.
Try a search to see which products the AI picks — and why it skips others.
Products ranked by how often Biasque's AI selected them for real user searches. The fraction next to each price (e.g. 2/2) shows how many times it was chosen out of total appearances in search results.
Live results from Biasque's AI shopping agent — showing which products it picked (or skipped) for real user queries, along with its reasoning.

Features soft neoprene lining specifically for added comfort, which is great for sensitive dogs.

Known for being a reliable brand with a design aimed specifically at balancing comfort and effective control.

Highly reviewed with a patented design intended for gentle, secure control without causing discomfort.

Exceptional reviews from existing users confirming both comfort and effectiveness for walking.

This is a classic, highly trusted choice specifically for its superior non-slip handle and ease of use.

Features a patented comfortable grip and dual blades, designed specifically to address slipping and speed for tough produce.

Excellent ergonomic design with a focus on a secure, non-slip hold to make peeling safer and much faster.
Quick answers about how Biasque works, what the metrics mean, and how to use the platform effectively.
Biasque is an observatory for AI shopping behavior. It records what AI agents search, what they consider, and what they finally recommend — then turns that data into analytics dashboards merchants and researchers can use to understand how AI agents evaluate their products.
Pronounced by-ask. The name combines “bias” and the suffix “-que” — evoking pick, with the French-inflected feel of words like boutique or unique.
Every time a user runs a search on Biasque, the AI agent queries Shopify's public product catalog and logs which products appeared, which were selected, and the agent's reasoning for each decision.
Currently, all searches are processed by a single AI model. The data reflects how that one model evaluates products — not an aggregate across multiple AI systems. Selection rates should be read as signals from one AI perspective.
No. Biasque uses its own AI agent implementation and does not reproduce or simulate the behavior of ChatGPT, Google Gemini, or any other third-party AI service. Results reflect how Biasque's AI agent evaluates products via Shopify's catalog data, and may differ from what those services would return. Use Biasque as a directional signal for AI discoverability — not as a prediction of any specific platform's output.
For a given search query, Selected means the product was included in the AI agent's final recommendation. Not selected means the product was evaluated as a candidate for that same query, but was not chosen in the final recommendation.
Selection rate is selections divided by appearances over a time window. See Store Performance docs for full metric definitions.
Yes. Use watchlists to pin your own products and competitor products, then monitor hit counts, selection rates, top queries, and trend movement over time in the dashboard.
Yes, but this service is currently in pilot operation. API access is rate-limited (for example, some operations may be limited to around once per day). Signed-in users get a bearer-token API key and can query watchlist analytics over HTTP. See Monitor API docs for request and response examples.
Product data is based on recent catalog snapshots. Prices and stock availability may differ slightly from the store's current listing — always check the product page before purchasing.
Authentication and usage data are used to operate the service, secure accounts, and deliver analytics. See Privacy Policy for details.
UCP is an open standard that lets AI agents communicate with e-commerce stores in a uniform way — without custom integrations per store. It covers capabilities like search, cart, checkout, and discounts. Shopify leads the spec, and Biasque uses it to run AI shopping queries across thousands of stores. See ucp.dev for the full specification.
ACP is OpenAI's protocol for enabling AI agents to act on a buyer's behalf during a shopping flow, using delegation tokens with defined spending limits and expiry. Where UCP focuses on capability negotiation between agents and stores (discovery, search, cart, checkout), ACP focuses on the authorization layer. The two protocols are complementary: UCP handles the commerce infrastructure side, ACP handles the trust and authorization side. Note: OpenAI initially explored completing purchases entirely within the chat interface, but has since shifted to a model where buyers are redirected to the store's checkout — giving merchants more control over the payment flow and post-purchase experience. Biasque currently uses UCP for product discovery and reasoning data.