Platform

Three steps. One measurement layer. Concrete dollars.

Agentic Shelf walks merchants through the AI commerce question in the order their team asks it: where do you stand, what's the prize worth, and how do you get there. Each capability below maps to one of those questions.

Step 1 · Measure

Know whether AI agents mention your store

Today, no one tells you whether ChatGPT is recommending your products. We measure it on real LLMs across a controlled query bank — before MCP, after MCP, side by side.

AI Visibility Audit

Controlled before/after across ChatGPT, Claude, Gemini, and Perplexity on a curated query bank. Citation rate, link-out behavior, competitor co-mention — all visible, all reproducible.

AI Presence Tracker

Recurring measurement scoped to your brand against your competitor set. Save runs to your Audit History and chart citation lift over time. Weekly cadence so the trend means something.

Saved Audit History

Per-merchant history of every run. Sparklines on the result page show how your citation rate, MCP readiness, and content readiness move week over week.

Step 2 · Size

Know what the AI shopping channel is worth

Defensible TAM math anchored in published research. Real Google Keyword Planner volumes, AIO-adjusted funnel benchmarks, measured halo where you sell on marketplaces. Sized in dollars per year, not vendor scores.

Volume / TAM Estimator

Five-layer math chain producing a defensible annual addressable market for your category. Auto-detected from your storefront URL; the methodology page shows the chain shape.

Measured Amazon halo

Paste an Amazon listing URL and the model swaps a category-default halo for a measured (D2C + marketplace) / D2C ratio derived from real public data. Concrete to your own marketplace footprint.

Three-scenario sensitivity

Conservative / mid / aggressive diagonals stress-test the softest input across 12, 24, and 48-month horizons. Pick whichever you can defend.

Step 3 · Get found

Make your store legible to AI shopping agents

AI agents need a real-time read on your stock, prices, and product details. We install the layer that lets them — one Shopify install, no scraping, no stale data.

Live MCP endpoint

Real AI agents query your live catalog, stock, and pricing in real time — not from a stale crawl. One install gets you on the public AI registry so any agent can find you.

Schema + llms.txt readiness

Per-product audits flag the listings AI agents can't quote cleanly. Apply-fix worksheets show exactly which copy to rewrite — no vendor consulting call needed.

Agent Traffic dashboard

Watch AI agents call your store live as it happens. Coming soon: agents that complete the purchase end-to-end on your behalf — pay per request, settle in real time.

For agencies + multi-store brands

Multi-tenant by design

One measurement layer across Shopify today (WooCommerce + BigCommerce on roadmap). Reuse audit + TAM playbooks across clients; each merchant's data stays isolated.

Per-merchant tenant scope

Every audit save is scoped to the merchant's own UID. No client ever sees another client's data. Operator view (when authorized) shows all tenants for QBR aggregation.

Auto-discovery on the agent registry

Once installed, your endpoint becomes findable on the public MCP registry — sell to the entire agentic economy from one integration, no per-platform re-work.

Future-proofed for agent payments

When AI agents start checking out for shoppers, your endpoint already speaks the protocol. Per-call pricing, real-time settlement — you set the rules.

Try free auditSee the methodologyPricing