> For the complete documentation index, see [llms.txt](https://docs.aloop.icustomer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aloop.icustomer.ai/introduction/readme.md). # Welcome Audience Loop is your always-on AI marketing team. Most tools hand you a model and a chat box. But a model on its own is inconsistent — ask it the same thing twice and you can get two different answers. A brand can't run on randomness. A brand is a promise of consistency: the same voice, the same standard, the same judgment, for every customer, on every channel. Audience Loop closes that gap. It wraps the model in everything it needs to be dependable — your context, your team's memory, the tools to act, the guardrails to stay on brand and on consent, and the measurement to prove what actually worked. And it doesn't work one prompt at a time. It runs a loop: an always-on system that listens to your market, decides what to do, acts across your channels, measures the outcome, and learns. Around the clock. ## Start here * [What is Audience Loop?](/introduction/what-is-audience-loop.md) — the idea in one page. * [How the Loop works](/how-it-works/how-the-loop-works.md) — the always-on engine behind everything. * [Onboarding](/introduction/onboarding.md) — go from your URL to a live system in minutes. New here? Read **What is Audience Loop?**, then run onboarding. ## How these docs are organized * **Introduction** — what Audience Loop is, and how to get started. * **How it works** — the loop, the orchestrator, your AI team, and the Intelligence it reasons over. * **Using Audience Loop** — the areas you work in day to day: Chat, Audience, Orchestration, Measurement, and Pulse. * **Playbooks** — ready-made plays and use cases. * **Manage** — settings, integrations, plans, and security. * **Reference** — architecture, glossary, FAQ, and more. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.aloop.icustomer.ai/introduction/readme.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.