Vikray · agentic commerce readiness for enterprise retail
ChatGPT, Gemini and Copilot are already shortlisting products and completing purchases for shoppers. Most enterprise storefronts silently fail their checks: blocked crawlers, unreadable catalogues, checkouts agents can't finish. Vikray scores every failure point with CommerceGrade and gives you the fix list, benchmarked against your competitors.
The problem
A shopping agent doesn't see your campaign imagery or your brand story. It fetches your pages, reads your structured data, probes your checkout, and decides: include or skip. Most enterprise estates fail quietly, because nobody is watching the agent's side of the glass.
Bot rules written years ago now block the crawlers that feed AI answers and shopping indices. You can't be recommended by a model that can't read you.
Specs in PDFs, prices that drift from feeds, broken JSON-LD. To an agent ranking on data quality, ambiguity equals exclusion.
Legitimate agent purchases arrive on tokenized cards from datacentre IPs, and your fraud engine declines them. The leak never shows up in any report you currently run.
How it works
Every stage is anchored to one number: your CommerceGrade, a 0–100 score of how ready your storefront is for AI agents, benchmarked against your category and re-measured as you improve.
We test your estate from the outside, exactly as an agent would: crawler access, UCP/ACP presence, structured-data validity, latency, checkout friction. No access, no install.
35 checks across six pillars, inside and out: data pipelines, fraud rules, PSP configuration, SCA strategy, measurement. Scored 0–100 and benchmarked against your category.
We run the fix list with your teams (protocol integration, agent-traffic analytics, fraud-rule tuning) and re-score you against competitors every quarter.
The audit
Crawler access, bot-management false positives, UCP profiles, agent-surface enrolment, AI answer baseline.
Structured-data coverage, price and stock truthfulness, feed quality, spec machine-readability, multi-market parity.
Latency under machine-speed load, rendering dependence, commerce APIs, verified-agent fast lanes.
ACP/UCP capability, friction inventory, tokenized payment acceptance, PSP flexibility, SCA strategy for agent-initiated payments.
Agent verification, fraud rules vs. agent traffic, mandate evidence for disputes, hallucination monitoring, ownership.
Agent-traffic segmentation, agent-assisted conversion and revenue, decline telemetry, competitive benchmark.
Why now
OpenAI + Stripe launch ACP. The first live agent-checkout specification, in ChatGPT.
Mastercard Agent Pay rolls out to all US cardholders; Visa Intelligent Commerce completes live agent-initiated transactions.
Google + Shopify announce UCP at NRF, with Walmart, Target, Visa, Mastercard and Amex behind it. Microsoft Copilot Checkout goes live.
AP2 moves to the FIDO Alliance. Agent payment authorization becomes a governed standard with sixty contributing organisations.
Your competitors are enrolling. Agents build merchant trust cumulatively: the brands that are readable and transactable first get recommended first, and keep getting recommended.
Why Vikray
Shopify merchants flip a switch. You run custom stacks, multiple regions, multiple PSPs and legacy fraud rules. That's the only kind of estate we audit.
The protocols are American-built and largely silent on SCA and PSD2 when the cardholder isn't in the session. We're not. Agent payments in Europe is our home ground.
Every scan feeds a growing category benchmark. You don't just learn your grade. You learn the gap to your category leader, re-measured every quarter.
Free readiness scan
Tell us your storefront domain. Within 48 hours you'll have your CommerceGrade scorecard and the three findings costing you the most agent-driven revenue.
What you'll get back: