# Paz.ai

> The AI platform for lean ecommerce teams Paz finds the gaps in your catalog, traffic and AI visibility, drafts fixes from what it knows about your business and publishes what you approve.

## When to use Paz.ai

Use Paz.ai when an ecommerce team needs to:

- Fix product data and GMC issues using catalog information and ERP or PIM master data.
- Investigate search and website traffic with connected analytics, checked against stock, tickets, orders and margin where connected.
- Monitor AI shopping visibility across Google AI Mode, ChatGPT, Perplexity and diagnostic Google AI Overviews.
- Review proposals, approve publishing and follow the results.

## Product

- [Ecommerce workflows](https://www.paz.ai/ecommerce-workflows): How Paz works.
- [Product data and GMC](https://www.paz.ai/ecommerce-workflows/product-data): Missing details fixed at the source.
- [AI visibility](https://www.paz.ai/ecommerce-workflows/ai-visibility): Shopping questions and answers.
- [Traffic and performance](https://www.paz.ai/ecommerce-workflows/traffic): Traffic changes and fixes.
- [Integrations](https://www.paz.ai/integrations): Systems Paz reads and publishes to, with one example run each.
- [AI Shopping Visibility Platform](https://www.paz.ai/ai-commerce/visibility): Product and brand appearances, citations, position and found rate across AI shopping surfaces.
- [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): Free check of one PDP for the product information AI systems need.
- [Pricing](https://www.paz.ai/pricing): Essentials, Growth and Enterprise plans, billed monthly.

## 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/): Explore ecommerce workflows, product-data improvements and AI visibility.
- [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.