Agentic commerce readiness

The AI Agent Skipped Your Store and Nobody Told You

When a shopping agent picks a competitor because your price markup was stale, your GTINs were missing or your returns policy was a PDF, nothing appears in analytics. No lost-sale report, no bounce, no impression. You just quietly stop being an option. This auditor turns that silence into a scored, 34-point diagnosis you can hand to a client.

Buy Now — $19 One-time payment · no subscription · works offline
AI discoverability Product data quality Structured data Transaction readiness Policies & trust AI citation

What comes out the other end

Work through the checks once and you have the whole deliverable: a headline number, a per-pillar breakdown, and an ordered list of what to fix first.

63
Tier C — Partial Northfield Supply Co · audit dated 12 August 2026 · 34 of 34 checks scored
AI Discoverability
14.0/20
Product Data Quality
15.0/20
Structured Data
11.7/20
Transaction Readiness
7.5/18
Policies & Trust
10.0/12
AI Citation
4.8/10
Fix these first — ranked by points recoverable
+3.0Agentic protocol support enabled (ACP, UCP, MCP or platform equivalent)
+3.0Real-time price and inventory available to agents
+2.0GTIN, UPC, EAN or MPN on every sellable variant
+1.7Offer schema complete: price, currency, availability, priceValidUntil
+1.5Product feed submitted and refreshed daily

Why an auditor and not another checklist

A spreadsheet of yes/no boxes gets filed and forgotten. A weighted score gets argued about, budgeted for, and re-run in ninety days.

34

34 checks, six weighted pillars

Discoverability, product data, structured data, transaction readiness, machine-readable policies and AI citation. Each check scores 0, 1 or 2, and each pillar carries its own weight toward a single number out of 100.

A fix list ordered by points, not opinion

Every gap is ranked by weight multiplied by how far short you fell, so the top of the list is genuinely the cheapest score available. No more arguing about which fix matters most.

Re-auditable, so improvement is provable

Audits are dated and kept. Re-run the same store next quarter and you get a trend line plus a check-by-check diff of exactly what moved. That is the difference between a one-off report and a retainer.

Your whole client book in one view

Score every store you look after, then compare them side by side in a pillar matrix. A column that is weak across the board is a service you can sell to all of them at once.

“Shopify switched agentic checkout on by default for eligible merchants. Most of them have never audited what an agent actually sees.”

Agencies charge $500 to $2,000 for a one-off AI-visibility audit, and readiness pilots start around $2,500. The free scanners only run against your own storefront and exist to book a call. Nothing cheap, reusable and multi-store sat in between — that is what this is.

One self-contained HTML file. No API keys, no crawling, no account, no monthly bill. It installs to your phone or desktop home screen, works offline, and keeps every store and audit in your own browser. Built by Mulkern AI Systems, who ship AI operations tooling for marketing teams.

$19
One-time purchase · lifetime access · no subscription
  • 34 checks across six weighted pillars
  • 0–100 readiness score with letter tier
  • Per-pillar breakdown bars
  • Remediation list ranked by points recoverable
  • Unlimited stores and clients, compared side by side
  • Dated re-audits with trend chart and check-by-check diff
  • Client-ready text summary, print/PDF, CSV and JSON export
  • Installable PWA — works fully offline
  • Light and dark themes, mobile-ready
Buy Now — $19

Instant access after checkout. No refunds. All sales are final.