Observe
Continuously connect the signals
Unify first-party analytics, search, advertising, CRM, website, reputation, and operational evidence without treating estimates as facts.
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The agentic agency operating system
Agentic intelligence. Human authority.
Growth Agency OS is an agentic, secure, multi-tenant platform for marketing and growth agencies. Machine learning and large language models continuously connect client data, find meaningful signals, formulate strategy, and coordinate accountable execution across your team—all with governed evidence and human approval.
What Growth Agency OS does
Growth Agency OS lets authorized agency users connect the Google Analytics, Search Console, Business Profile, and Google Ads resources they manage. The platform reads selected account data to create reporting, SEO and advertising intelligence, prioritized recommendations, step-by-step action plans, and measurable agency work.
Google access is requested only after a user chooses to connect an account. Growth Agency OS does not sell Google user data or use it for advertising, and changes to connected accounts remain subject to user authorization and governed approval. Read our Privacy Policy for details.
Beyond another AI assistant
GAOS does not bolt a chatbot onto disconnected dashboards. Its Agency Brain works across verified client evidence, specialized tools, operating processes, and assigned work to help agencies investigate, decide, execute, and learn inside one system.
Observe
Unify first-party analytics, search, advertising, CRM, website, reputation, and operational evidence without treating estimates as facts.
Reason
Use machine learning and LLMs to identify patterns, research opportunities, prioritize recommendations, and disclose confidence and limitations.
Act and learn
Route approved work to the right people, track supervisory review and outcomes, and improve future recommendations from measured results.
Authorize and select the Google Analytics, Search Console, and Business Profile resources your agency manages—without sharing passwords.
Machine learning and LLM-powered agents evaluate governed evidence, surface anomalies and opportunities, and formulate explainable strategies for human review.
Convert approved recommendations into accountable projects, tasks, playbooks, and measurable outcomes—without losing human control.