# Paz.ai

> Paz.ai helps commerce teams grow product and brand visibility in AI shopping. It monitors Google AI Mode, ChatGPT, Perplexity, and Google AI Overviews; records product cards, product mentions, brand mentions, source citations, position, and trends; connects visibility gaps to catalog optimization; distributes product information to supported AI commerce destinations; and measures AI-referred visits and purchases. Teams use Paz to understand where they appear, strengthen the product data AI systems rely on, expand distribution, and measure performance from discovery through conversion.

## When to use Paz.ai

Use Paz.ai when an ecommerce team needs to:

- Measure product and brand AI shopping visibility across ChatGPT, Google AI, and Perplexity.
- Find and fix product catalog data gaps that limit discovery or accurate recommendations.
- Distribute enriched product information to supported AI commerce destinations.
- Attribute AI-referred traffic and purchases from discovery through conversion.

## Product

- [AI Shopping Visibility Platform](https://www.paz.ai/ai-commerce/visibility): See how Paz monitors product and brand appearances, citations, position, found rate, and trends across leading AI shopping experiences.
- [AEO and GEO Optimization Software for Ecommerce](https://www.paz.ai/ai-commerce/aeo-geo-optimization): Explore the complete commerce workflow for visibility monitoring, catalog optimization, supported feed distribution, and AI traffic attribution.
- [AI Readiness](https://www.paz.ai/ai-readiness): Evaluate a product page and identify structured data, product content, and catalog improvements that help AI systems understand it.
- [Pricing](https://www.paz.ai/pricing): Compare Paz plans and choose the product scope that fits your catalog and AI commerce program.

## Methodology

- [AI Shopping Visibility Methodology](https://www.paz.ai/methodology/ai-shopping-visibility): Learn how Paz runs configured shopper queries and reports product cards, mentions, citations, position, found rate, and trends.
- [Editorial Policy](https://www.paz.ai/editorial-policy): Review Paz standards for primary sources, evidence, accountable authorship and review, corrections, and publication dates.

## Guides

- [How to Optimize a Product Feed for AI Search](https://www.paz.ai/guides/optimize-product-feed-for-ai-agents): Follow an eight-step process for complete product data, structured markup, feed validation, optimization, and visibility measurement.
- [Agentic Commerce Optimization](https://www.paz.ai/agentic-commerce-optimization): Learn the discipline of combining catalog quality, distribution, visibility monitoring, and measurement for AI shopping.
- [Agentic Commerce Guide](https://www.paz.ai/agentic-commerce): Understand how AI shopping agents discover products, evaluate catalog data, recommend options, and connect shoppers with merchants.

## Company

- [Paz.ai](https://www.paz.ai/): Visit the official Paz website for AI shopping visibility, catalog optimization, distribution, citations, and measurement.
- [Developer and Agent Resources](https://www.paz.ai/developers): Find Paz.ai machine-readable site guides, sitemap, RSS feed, crawler policy, and current integration scope.
- [OpenAPI Contract](https://www.paz.ai/openapi.json): Typed Paz.ai REST operations and authentication.
- [MCP Discovery](https://www.paz.ai/.well-known/mcp.json): Streamable HTTP endpoint and authentication metadata.
- [MCP Server Card](https://www.paz.ai/.well-known/mcp/server-card.json): MCP server connection and tool metadata.
- [API Catalog](https://www.paz.ai/.well-known/api-catalog): RFC 9727 API discovery.
- [API Versioning and Deprecation Policy](https://www.paz.ai/developers/api-versioning): API compatibility and sunset policy.
- [Authentication Guide](https://www.paz.ai/auth.md): API-key usage and revocation.
- [Press and News](https://www.paz.ai/press): Read Paz partnership announcements and company news.