When an agent tries to buy from you — can it check out?
ChatGPT, Claude, Perplexity and Amazon's Rufus can already browse and shop on someone's behalf. Prolectio sends a real agent through your store, shows you exactly where it stalls — including any bot-wall turning it away — ships the fix, and pages you the moment a deploy breaks it again.
See what a fix PR looks like →
Which agents can't reach your store — free audit →
Agent-ready ourselves — run Prolectio from ChatGPT →
Explore the Prolectio Index · the methodology · pricing · get your free score · for agents (WebMCP).
Which shopping agents can't reach your store?
Before anything else — schema, price, checkout — we check whether the agents your customers already use can even load your site. A default-deny bot wall or a disallowed robots.txt line turns away a real sale as surely as a broken checkout does, and almost nobody is watching for it.
Agents are already completing purchases. On at least one platform.
You don't have to believe a hype cycle — the money already moved where agentic shopping shipped at scale.
Figures are Amazon's own 2025 disclosures via press coverage. Off-Amazon purchase volume is still early — payment-capable checkout barely exists outside a handful of platforms today. We sell this as hygiene ahead of the wave, not a promise your agent traffic is already large.
Six questions we answer about your store.
Each step opens as you scroll — or tap any to expand. Plain English up top, the technical term in the tag. A chatbot can write you schema; it can't drive your real checkout on a schedule and catch the deploy that quietly breaks it. That's the part Prolectio owns.
The assistants your customers use — ChatGPT, Claude, Perplexity, Rufus, Google — knock before they ever see a product. A default-deny bot wall or a stray robots rule turns them away at the door, and you never see the lost sale. We knock as each one and tell you who got in.
An agent doesn't see your page — it reads your markup. If your price is baked into an image, your variants hide behind a hover, or your "Buy" button is a nameless box, it can't tell what costs what. We read your store the way an agent does and flag every blind spot.
The hard one. A real AI agent drives your cart to the payment step and tells you exactly where it stalls. Where your payment processor already supports agent checkout, a test-mode purchase settles in a sandbox — proof it works, never live funds.
We fix it. Every stall ships as a ready-to-merge pull request or a paste-in snippet — the exact schema, the accessible button, the robots change — then we re-run the agent to prove it worked. Deterministic fixes are unlimited on every plan.
You hear about it first. We re-run the checks on a schedule and page you the moment a deploy, a new bot rule, or a protocol spec-change breaks agent checkout — with the fix attached, not just the alarm.
Sustain a clean run and earn Certified status — a public /verify/your-domain page and a machine-readable badge agents, partners, and procurement can check.
The score finds the stall. The PR ships the fix.
Four of the most common ways an agent gives up on a store — and what Prolectio's remediation actually looks like. Every fix links to the transcript that proves the stall, under the published methodology.
Fixing it once is the free hook. Keeping it fixed is the product. On a paid plan we re-run the same checks on a schedule and page you — email today — the moment a deploy, a spec change, or a new bot rule breaks it again. See plans →
Get agent-payable. Prove it works.
From a URL to a shipped fix.
Paste your storefront URL. A real agent tries to buy from you. You get the score, the map, and the fix.
We read you like an agent
No SDK, no login — we crawl your public storefront the same way a shopping agent would: one request a second, robots-respecting.
A real agent tries to buy
It checks whether it's even let in, reads your catalog and price, then drives your cart and checkout to the payment brink — further, in sandbox, on eligible stores.
The ranked list — and the PR
A readiness score, the exact stall with its transcript, and a reviewed pull request or paste-ready snippet — re-verified before we call it done.
Discover. Experience. Interact. Analyze.
Reachability, catalog legibility, checkout completion, and live traffic — the whole path a shopping agent walks against your store, scored live and wired to the fix. Agentic commerce lives inside Interact, called out on its own, never blended into a single number.
We read robots.txt, Content-Signal directives, and how your edge actually answers a known agent user-agent — before anything else gets checked. Blocked is a scoreable, fixable finding, not a mystery.
The Prolectio Score, scored three ways, plus the AX Audit across all eight surface classes — marketing, pricing, auth, checkout, account, support, legal, docs. Export it as llms.txt or a full-text mirror.
We send a live agent to complete real jobs — sign up, get a key, build a first request, find the cancel path — and grade whether it finished. R1 goes further with live interaction-testing against your real, running product (early access). Agentic commerce is scored right here too: your catalog, pricing, and checkout against the live protocols — ACP, UCP, commerce-MCP, x402 — so a shopping agent can actually complete the purchase.
Attributed, not invisible. See which agents arrive, where their journeys stall, and which conversions they drove.
Score → replay → PR.
Every red or amber finding above links to the transcript that proves it — never an orphan number. Connect your repo and we open a reviewable pull request. You review and merge; nothing ships without you.
See what's included →Send an agent through your real product.
Early access, private beta — we schedule the run by hand. Tell us your domain and what you want an agent to try.
Three tests. One score. No shortcuts.
This is the score behind Find and Understand above — and the same rubric backs the Agentic Commerce Readiness Score inside Interact. Task completion is weighted over surface structure: you can't top the Prolectio Index by dropping in an llms.txt and calling it done. Every number here links to the published methodology.
Deterministic checks
Clarity, graded by model
Real task probes
47 platforms, ranked cold. See who's actually agent-ready.
An open, reproducible benchmark of public developer documentation — 47 of the 238 platforms Prolectio has scored, every one of them ranked below, green through red. The site-wide AX Index covers the rest and publishes after right-of-reply.
See if an agent can buy from you.
Get your Prolectio Score, watch exactly where an agent stalls, and ship the fixes — including the bot-wall turning agents away. When you clear the green bar, show it.
Make your business agent-ready — today.