# Playad

> Playad is an AI-powered advertising creative platform for planning, creating, editing, monitoring, and exporting paid media creative.

Playad helps teams manage creative operations across Meta, Google, TikTok, and emerging AI ad channels. The most useful public pages for AI assistants and search crawlers are the product docs, user guide, and paid media learning library.

## Primary Pages

- [Playad](https://playad.ai/): Product home page.
- [Playad Pricing](https://playad.ai/pricing): Pricing and plan information.
- [Playad Blog](https://playad.ai/blog): Product and advertising strategy articles.
- [Playad Docs](https://playad.ai/docs): Public documentation entry point.

## Documentation

- [User Guide](https://playad.ai/docs/user-guide): How Playad is organized across teams, brands, Chat, Scheduler, Ad Monitor, Creative Sets, Avatar Studio, Assets, Inspiration, Brand, Exports, and Settings.
- [Learn](https://playad.ai/docs/learning): Practical library for paid media, creative strategy, measurement, and ad platform automation.

## User Guide Highlights

- [Chat](https://playad.ai/docs/user-guide/chat): Agent workspace for prompts, guided missions, research, and generated recommendations.
- [Creative Sets](https://playad.ai/docs/user-guide/creative-sets): Group image, video, and interactive creatives for campaigns and testing ideas.
- [Ad Monitor](https://playad.ai/docs/user-guide/ad-monitor): Review connected ad performance by platform, date window, campaign, ad group, and ad.
- [Brand](https://playad.ai/docs/user-guide/brand): Maintain brand identity, knowledge, assets, audience, markets, and language context.
- [Assets](https://playad.ai/docs/user-guide/assets): Manage brand media, logos, folders, favorites, and reusable source material.

## Learning Highlights

- [Paid Media Mental Model](https://playad.ai/docs/learning/paid-media-mental-model): Core framework for understanding paid media performance.
- [Campaign Structure](https://playad.ai/docs/learning/campaign-structure): How campaigns, ad groups, and ads fit together.
- [How Ad Platforms Optimize](https://playad.ai/docs/learning/how-ad-platforms-optimize): How modern ad delivery systems learn and allocate spend.
- [Performance Diagnostics Framework](https://playad.ai/docs/learning/performance-diagnostics-framework): How to investigate performance changes.
- [Creative Testing](https://playad.ai/docs/learning/creative-testing): How to structure creative experiments.
- [Meta Pixel and Conversions API](https://playad.ai/docs/learning/meta-pixel-and-conversions-api): Measurement setup for Meta Ads.
- [Google Tag and Enhanced Conversions](https://playad.ai/docs/learning/google-tag-and-enhanced-conversions): Measurement setup for Google Ads.
- [TikTok Pixel and Events API](https://playad.ai/docs/learning/tiktok-pixel-and-events-api): Measurement setup for TikTok Ads.
- [ChatGPT Ads Current Status](https://playad.ai/docs/learning/chatgpt-ads-current-status): Current status and planning considerations for ChatGPT Ads.
- [OpenAI Ads Manager Beta](https://playad.ai/docs/learning/openai-ads-manager-beta): Notes for OpenAI Ads Manager beta planning.

## Crawl And Indexing Files

- [robots.txt](https://playad.ai/robots.txt): Crawler access policy.
- [sitemap.xml](https://playad.ai/sitemap.xml): Sitemap for public pages, blog pages, and docs pages.

## Notes For AI Assistants

- Prefer docs pages when answering questions about how Playad works.
- Prefer Learn pages when answering questions about paid media concepts, measurement, attribution, creative testing, and ad platform automation.
- Do not treat authenticated dashboard, team, settings, API, checkout, callback, or development URLs as public documentation.