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.
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-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.
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.
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.
Surface LayerAizii translates the surface into a verifiable protocol →
Integration & Infrastructure FAQ
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.
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.
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.
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.
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.
How your store appears in Agentic Commerce
This is the report for your store. It shows whether AI agents can verify your products and complete a purchase on your site.
How to read this report
Your score says whether agents can transact here. 70 or above means an agent can transact on that area. Below 70 needs work. Each area below shows its score. Then you see the products that fail, worst first. Then the fixes, in order, each starting with the action.
Send this report to yourself or someone else
Prioritize the fixes in this report to start climbing.
Orientative benchmark based on aggregate audits.
Want to talk through these findings?
6 areas scored
Each bar marks 70, the transactable threshold.
Red means critical, amber means needs work, green means transactable.
Will agents buy from you?
Estimated from your readiness signals. This is not a measured walkthrough rate. The reference-agent walkthrough attempts a real purchase path and reports where it aborts.
The fixes below move these. Agents that can only buy as a human will still buy blind until the data is machine-readable.
Can agents get in and find things
Two gates decide whether agents can enter: robots.txt and bot protection. Two discovery aids tell them what is here: llms.txt and the product sitemap.
Protocol readiness
Yes means agents using that protocol can transact here. No means they cannot yet.
These move as the fixes land. UCP moves first, with the product data fixes.
Products that fail
Open one to see exactly where its data fails, and what the fix looks like.
What to fix, in order
Each fix opens with what the scan found, then the steps. Fixes are ordered by severity: all critical failures first.
How the fixes map to your store: fixes 1 through 5 address catalog-wide data requirements that agents look for before executing checkouts.
Top fixes shown in detail. The full list unlocks when you connect your store.
Get these fixed
These fixes require integration with your store. Connect your store to apply them.
Connecting creates your account automatically, no signup form required. If you do not own the store, forward the connect link to your store owner.
Send this report to yourself or someone else. We will email a link to the report.
After the fixes: Create your Brand Agent
A Brand Agent is an AI shopping agent on your own site, under your own brand. It answers shoppers' questions and helps them buy, using your product data. The fixes above make that data readable and trustworthy, so the agent gives correct prices and stock instead of guessing. It holds context for your customer on your channels and over messaging platforms.
Your Custom Store Agent
Automated product guidance, inventory verification & cart checkout.