# Paz.ai expanded reference

> For concise routing, start with https://www.paz.ai/llms.txt. This expanded reference adds product scope, reporting definitions, and primary sources without duplicating plan or pricing tables.

Paz.ai helps commerce teams monitor product and brand visibility in AI shopping, improve catalog data, distribute product information to supported AI commerce destinations, and attribute AI-referred traffic and purchases.

## Supported Paz workflows

- **Evaluate readiness:** Analyze a product URL and return a structured AI-readiness report.
- **Monitor visibility:** Run configured shopper queries across Google AI Mode, ChatGPT, Perplexity, and Google AI Overviews, then record product cards, product mentions, brand mentions, source citations, position, found rate, and trends.
- **Improve catalog data:** Import supported catalogs, compute catalog quality scores, and generate optimization proposals that teams can preview, approve, reject, or revert.
- **Distribute and measure:** Configure supported Google Merchant Center, OpenAI Commerce product-feed, UCP, and Enterprise ChatGPT App or MCP destinations, then attribute supported AI-referred visits and purchases.

## Visibility reporting

Google AI Mode, ChatGPT, and Perplexity have per-engine appearance counts, found rate, position, and trend reporting. Google AI Overviews is captured with a present, not shown, or failed outcome and reported separately as a diagnostic Shopping Visibility engine.

- **Product card:** A structured product result rendered by the engine.
- **Product mention:** A natural-language reference to a merchant product without a structured card.
- **Brand mention:** A reference to the merchant brand without a specific product.
- **Source citation:** An outbound URL the engine cites as a source.
- **Found rate:** The share of configured queries that surface the merchant.
- **Position:** Where the merchant appears in the observed response.
- **Trends:** Changes across completed monitoring runs.

The methodology page documents the query-set denominator and reporting treatment needed to reproduce these per-engine metrics.

## Product fit

Paz connects readiness, visibility observations, human-reviewed catalog optimization, supported distribution, and attribution in one commerce workflow. Checkout, payment processing, orders, and fulfillment stay with the merchant or commerce provider.

## Canonical pages

- [AI shopping visibility platform](https://www.paz.ai/ai-commerce/visibility)
- [AEO and GEO optimization software for ecommerce](https://www.paz.ai/ai-commerce/aeo-geo-optimization)
- [AI Readiness](https://www.paz.ai/ai-readiness)
- [Shopping Visibility methodology](https://www.paz.ai/methodology/ai-shopping-visibility)
- [Editorial policy](https://www.paz.ai/editorial-policy)
- [How to optimize a product feed for AI search](https://www.paz.ai/guides/optimize-product-feed-for-ai-agents)
- [Pricing](https://www.paz.ai/pricing)
- [Press and partner evidence](https://www.paz.ai/press)
- [Glossary](https://www.paz.ai/glossary)

## Primary sources

- OpenAI Product Feed Specification: https://developers.openai.com/commerce/specs/feed
- Google Search Central, AI features and your website: https://developers.google.com/search/docs/appearance/ai-features
- Google Search Central, Product structured data: https://developers.google.com/search/docs/appearance/structured-data/product
- Google Merchant Center, Product data specification: https://support.google.com/merchants/answer/7052112
- Universal Commerce Protocol specification: https://ucp.dev/
- Schema.org DefinedTerm: https://schema.org/DefinedTerm