• AUTONOMOUS SETTLEMENT OPTIMIZATION · v1.2

# AI agents abandon sites  
not optimized for  
Agentic Commerce.

Legacy e-commerce sites are built for human eyes, not machine logic. When autonomous agents hit unstructured product data or schema drift, they flag the transaction as a risk and abort.

Run ASO Infrastructure Audit

Tests for server response latencies, WebMCP handshake compliance, and schema field gaps.

![](https://aizii.ai/images/handbag-product.jpg)

{ "@type": "Product",

"gtin13": "9781402894626",

"material": "full\_grain\_leather",

"price": 348.00,

"currency": "USD" }

schema.hash = 0x4A91…

drift = 0.00

verified ✓

// 01 / MACHINE LAYER

## Zero-Drift Schema Assembly

Automatically compiles unstructured product catalogs into precision, machine-readable JSON-LD payloads. This ensures an AI agent can cleanly parse your storefront without encountering price, metadata, or inventory drift during its evaluation loops.

AGENT ROUTING · KYA ACTIVE

scraper.block = TRUE

handshake.ok = 12ms

// 02 / VERIFICATION

## Agent-Ready Protocol Signals

Establishes a foundational verification layer—analogous to an SSL certificate for AI traffic. This framework signals system readiness to legitimate autonomous purchasing agents, validating that your endpoints are secure and structurally optimized for machine traversal.

PROGRAMMATIC WALLET HANDSHAKE

\[ READY \]

HANDSHAKE STABLE

WebMCP · v1.2 · authorized

handshake.ok ✓

// 03 / AUTONOMOUS SETTLEMENT

## WebMCP Handshake Engine

The dedicated server-to-server optimization framework built for the machine economy. Formats and prepares checkout payloads so autonomous wallets can interact with your existing checkout architecture seamlessly, removing the friction that causes agent abandonment.

Protocol Viewer

## How AI Actually Sees Your Brand

Incomplete schemas and fragmented metadata make your brand invisible to the agentic economy. Aizii remediates your data so agents can find, verify, and transact.

Before · RawAfter · Aizii-Cleaned

JONNY BLANCO

HomeCatalog

![Verified product](https://aizii.ai/_astro/handbag-product.VOpG_kMd.jpg)Surface Layer

Unoptimized Item #4892

Unknown Vendor

Color

BlackGray

Price Unavailable

Description missing — invisible to agents.

Add to cartBuy it now

<\>Agent-Optimized Protocol (JSON-LD)

aizii.aiUCP Compliant

schema-validation.json

{

"@context": "https://schema.org/",

"@type": "Product",

"name": "Unoptimized Item #4892",

// NON-DESCRIPTIVE

"description": "No description available.",

// SEO PENALTY

"brand": {

"@type": "Brand",

"name": "Unknown Vendor"

},

"offers": {

"@type": "Offer",

"price": "MISSING\_DETERMINISTIC\_VALUE",

// DRIFT

"priceCurrency": "UNKNOWN",

"availability": "NOT\_FOUND",

// INVISIBLE TO AGENTS

"url": "https://store.com/products/fixed-item"

},

"ucp\_protocol": {

"version": "NOT\_DETECTED",

"handshake": "failed",

"agent\_checkout": "disabled"

}

}

Protocol Handshake · Failed

UCP Compliance

Deterministic values missing

ACP Handshake

Payment protocol not established

Zero Drift

Machine & marketing layer out of sync

Aizii translates the surface into a verifiable protocol →

// FAQ

## Integration & Infrastructure FAQ

How long does the ASO setup take?

Baseline ASO deployment is highly automated. Connect your catalog and checkout endpoints to the Aizii mesh, and the engine begins schema normalization, WebMCP handshake provisioning, and agent-routing verification within minutes. Most brands see their first autonomous agent transactions complete within 24 hours; full protocol coverage typically stabilizes within a week.

Is ASO compatible with our existing checkout and payment providers?

Yes. Aizii is a headless middleware layer that sits between your existing commerce stack — Shopify, Salesforce Commerce, Adobe Commerce, Stripe, Adyen, or a custom checkout — and the autonomous wallets and purchasing agents requesting it. You keep your current providers; ASO emits machine-optimized payloads and handles server-to-server intent without replacing your payment flow.

Do you offer certified Integration Partners for larger rollouts?

Absolutely. While baseline installation is automated, Aizii maintains a vetted network of certified Integration Agency Partners. These specialized systems integrators handle full configuration of your catalog schemas, checkout handshakes, and agent policies without pulling from your internal roadmap. Contact our enterprise team to be introduced to a partner.

How does ASO handle bot/firewall protection and agent traffic?

ASO is designed to work with your existing WAF and bot management (Cloudflare, Akamai, DataDome). Aizii issues verified, signed responses only to legitimate autonomous agents on our allow-list — wallet agents, shopping agents, and inventory agents — while your firewall continues to block malicious traffic. You retain full control over which agents can request which fields and initiate checkout intent.

Where is transaction and catalog data stored, and how is it secured?

All data is processed in-region and never used to train third-party models. Aizii is SOC 2 Type II and encrypts data in transit (TLS 1.3) and at rest (AES-256). Catalog and transaction payloads are cached at the edge with signed integrity hashes so the responses served to autonomous agents exactly match your source of truth — no drift, no leakage, no shadow copies.

aizzi-auditor-v2.1.sh

Welcome to AIZII Agentic Readiness Grader v2.1 Awaiting input URL...

## warning Audit Complete: Agentic Risk Detected

Your storefront is currently "Invisible" to AI Shopping Agents.

Agentic Readiness Score

\-- /100

### The "Agentic" Drift Analysis

Aizzi found significant "Drift Coefficients" between your Marketing Layer and Machine Layer.

#### Diagnosis: Missing Deterministic Logic

<table class="w-full text-left text-sm"><thead class="bg-slate-900/50 border-b border-slate-800 text-slate-500 text-xs"><tr><th class="px-4 py-3 font-medium">Feature</th><th class="px-4 py-3 font-medium">Current Status</th><th class="px-4 py-3 font-medium">Required</th></tr></thead><tbody id="diagnosis-list" class="divide-y divide-slate-800/80"></tbody></table>

### trending\_down Revenue Loss Potential

Estimated monthly "Ghost Traffic" rejection rate in the GCE ecosystem.

Estimated Monthly Leakage

$0

0% Agent Rejection Rate

#### inventory\_2 Scanned Products

ACTIONS:

FIX VIA NIFT LOGIC INJECTION (ACTIVATE PATH TO GREEN)

lock

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_Last modified: 2026-08-24_
