AI shopping visibility
Controlled before/after audits across ChatGPT, Claude, Gemini, and Perplexity. Live MCP for catalog, stock, and pricing. Layer-by-layer methodology — no black-box scores.
Before / after across 12 controlled AI shopping queries
Tested across ChatGPT, Claude, Gemini, and Perplexity · scored against the merchant's competitor set
Trusted by teams measuring AI shopping visibility
Core metrics
Three measurements every merchant demo lands — the Agentic Shelf equivalent of visibility, position, and sentiment.
Controlled before / after across ChatGPT, Claude, Gemini, and Perplexity. 12 shopper queries scored against your competitor set. Citation rate, link-out behavior, and competitor co-mention — all visible, all reproducible.
Total addressable market sized in five layers — real Google Keyword Planner volumes, 2026-anchored AI-share research, measured citation rate (not a guess), benchmark CTR / conversion / AOV / halo. Defensible dollar number for finance.
Live MCP endpoint reads your catalog and stock at request time, not from a stale scrape. llms.txt, schema, and content-readiness audits surface the specific products and pages that block citations. Re-measure weekly, chart the lift.
Three steps. Each one answers a question your team will ask.
Paste your storefront URL. We run 12 shopper-style queries against ChatGPT, Claude, Gemini, and Perplexity twice — once with no context (BEFORE) and once with our MCP context injected (AFTER). Result lands in 60–90 seconds.
Auto-detected from your storefront. Five-layer TAM with cited sources per layer. Connect Amazon to pull live listing data through the Selling Partner API and add Alexa-readiness scoring, or paste an Amazon URL to upgrade the halo from a per-category default to a measured ratio from real BSR data. Defensible mid × +12mo number in a sensitivity grid.
One-click Shopify install. The endpoint serves live stock, catalog, and pricing data to AI agents in real time. Re-run the audit anytime to chart the citation lift.
One measurement layer across Shopify, Amazon, WooCommerce, BigCommerce, and headless. Pick a backend; the audit and the MCP endpoint shape stay the same. Operator playbook reused across brands.
Reuse the audit + TAM playbooks across clients. Export stakeholder-ready reports for QBRs. Measure per-client lift over time from tenant-scoped Audit History.
Run the audit yourself, or drop a note and we'll walk through it on a 20-minute call.
Everything merchants usually ask before connecting a store.
It measures whether AI assistants like ChatGPT, Claude, Gemini, and Perplexity cite your store, and gives your store an MCP endpoint so those assistants can read your live catalog, stock, and pricing.
Model Context Protocol is the open standard AI assistants use to read live data. Agentic Shelf hosts one for your store so agents query real-time product and inventory data at request time instead of relying on a stale scrape.
No. The Shopify integration uses read-only product and inventory scopes only. It does not read orders or customer information.
ChatGPT, Claude, Gemini, and Perplexity. Each audit runs the same shopper-style queries against all four.
Yes. Connect Amazon and we read your live listings through the Selling Partner API, then score how ready each one is to win citations in Amazon's AI shopping assistant, Alexa for Shopping (formerly Rufus) — a GEO content score, an Alexa-readiness shopper Q&A, and an image-AI category check that flags drift. The same MCP + audit loop, now on your marketplace catalog.
Free Early Access while the product is in beta. You can run an audit and connect your store at no charge.
Run a free audit from the button above or install Agentic Shelf from the Shopify App Store. Connect your store and the dashboard provisions automatically.