# A clearer way to open your store to AI-assisted buying

Trusteed helps stores and AI assistants understand what has been checked, what is allowed, and where human approval is still needed.

> This is about making the rules clearer, not making unrealistic promises. We explain the signals so people and assistants can make better decisions.

## Trust is becoming part of the infrastructure

This shift is not only about buyer behavior. Large networks and platform providers are already building the rails that make AI-assisted buying easier to trust and easier to integrate.

- **4.8B** — Visa says its commerce network already covers 4.8 billion payment credentials, over 150 million merchant locations, and 300B+ transactions a year. Statistics sourced from Visa public documentation; citation does not imply endorsement by, or affiliation with, Visa Inc. ([Visa Intelligent Commerce](https://corporate.visa.com/en/products/intelligent-commerce.html))
- **20+** — Google says UCP was developed with support from more than 20 ecosystem partners, including major merchants, platforms, and payment providers. ([Google Developers Blog, Jan 2026](https://developers.googleblog.com/under-the-hood-universal-commerce-protocol-ucp/))
- **WebMCP** — Chrome introduced WebMCP in early preview to let sites expose structured actions so agents can interact with more speed, precision, and reliability. ([Chrome for Developers, Feb 2026](https://developer.chrome.com/blog/webmcp-epp))

## What we measure

### Verification

We separate what has been checked from what still carries risk. Verification shows what is known. It does not mean every risk is gone.

### Operational trust score

The score reflects whether store information is clear, current, and reliable enough to support safer buying decisions.

### Agent risk controls

Stores can decide when an assistant can continue, when it needs approval, and when it should stop.

## How it works

### 1. We verify what can be verified

We check the parts that can be checked, such as store identity, business details, and public store rules.

### 2. We observe real operations

We look at whether store information stays current and whether the buying journey looks stable over time.

### 3. Merchants set the boundaries

Each store decides where assistants can move freely and where a human should still step in.

## What merchants can control

- Set an enforced floor for store-management agents: approval thresholds, rate limits, and credential revocation you cannot turn off
- Define which agent behaviors require review
- Show clear return, shipping, and support rules to agents
- Improve visibility by improving real operational quality
- Keep sensitive actions behind explicit confirmation when needed

## What agents can rely on

- Read store rules in a consistent format
- See what has been checked and what has not
- Understand when extra confirmation is required
- Prefer stores with clearer and more reliable information

## What we do not guarantee

- Our scores are not customer review ratings
- Our scores are not legal certification or an external audit
- Our controls reduce risk but do not guarantee a successful transaction
- Stores remain responsible for their legal and commercial obligations

## Questions merchants and agents usually ask

Clear answers for non-technical readers and AI systems alike

**Q: Is the Store Trust Score the same as a customer rating?**

A: No. It is an internal reliability signal based on store data and observed performance, not on public reviews.

**Q: Does verification mean a store is fully certified?**

A: No. Verification only reflects the specific checks completed at that moment, such as identity or business review.

**Q: Can stores control how AI assistants interact with them?**

A: Yes. Stores can define rules that review or block risky behavior before it moves forward.

**Q: Can an AI assistant rely on these signals when helping a buyer?**

A: Yes, as decision support. The signals help with discovery, ranking, and safety, but they are not absolute guarantees.

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Scores, verification levels, and assistant controls are platform signals designed to support better decisions. They are not legal certification, an external audit, or a guarantee of commercial success.

Canonical HTML version: https://trusteed.xyz/en/trust