# AdMesh Documentation

## Docs

- [Advertiser FAQ](https://docs.useadmesh.com/advertisers/faq.md): Common questions from advertisers about AdMesh offers, pricing, and performance
- [Advertiser Overview](https://docs.useadmesh.com/advertisers/overview.md): Reach high-intent audiences across AI platforms with transparency and efficiency
- [Content Policy](https://docs.useadmesh.com/content-policy.md): AdMesh Content Policy - Guidelines for acceptable content and advertising standards
- [Contextual Relevance Score (CRS)](https://docs.useadmesh.com/contextual-relevance-score.md): How AdMesh ensures every recommendation feels natural and relevant
- [Cost Per Exposure (CPX)](https://docs.useadmesh.com/cost-per-exposure.md): Understand how AdMesh calculates exposure-based pricing for AI conversations
- [CPM vs CPX](https://docs.useadmesh.com/cpm-vs-cpx.md): Why CPX exists and how it differs from traditional CPM advertising
- [Introduction](https://docs.useadmesh.com/introduction.md): Start integrating AdMesh SDKs into your application in minutes
- [Platform FAQ](https://docs.useadmesh.com/platforms/faq.md): Frequently asked questions from platform integrators about format selection, SDK usage, API integration, and implementation
- [Platform Overview](https://docs.useadmesh.com/platforms/overview.md): AdMesh integration guide for conversational platforms - understand package requirements and choose your integration approach
- [Tail & Product Format](https://docs.useadmesh.com/platforms/tail-format.md): Display recommendations as inline tails or product cards with automatic tracking using admesh-ui-sdk
- [Weave Ad Format](https://docs.useadmesh.com/platforms/weave-ad-format.md): Embed AdMesh links directly into LLM responses with event-driven detection and automatic tracking
- [Getting Started](https://docs.useadmesh.com/publishers/getting-started.md): Set up admesh-ui-sdk for publisher websites with AdMeshIntentAssistant
- [Publisher Overview](https://docs.useadmesh.com/publishers/overview.md): Monetize publisher pages with admesh-ui-sdk and AdMeshIntentAssistant
- [UI SDK Integration](https://docs.useadmesh.com/publishers/ui-sdk-integration.md): Integrate AdMeshProvider and AdMeshIntentAssistant in publisher pages
- [Flutter](https://docs.useadmesh.com/ui-sdk/flutter.md): Install and set up admesh_flutter_ui_sdk for native recommendation rendering, tracking, and theming
- [React](https://docs.useadmesh.com/ui-sdk/installation.md): Install and set up admesh-ui-sdk for automatic recommendation rendering and tracking
- [Node.js](https://docs.useadmesh.com/weave-node/installation.md): Install and configure admesh-weave-node for backend recommendation fetching
- [Python](https://docs.useadmesh.com/weave-python/installation.md): Install and configure admesh-weave-python for backend recommendation fetching

## OpenAPI Specs

- [openapi](https://docs.useadmesh.com/openapi.json)