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Platform Features

AIOHM is a multi-tenant AI marketing platform that combines brand-aware AI, workflow automation, content operations, social publishing, analytics, retrieval, and governance in one system.

Want the exhaustive, versioned inventory of pages, resources, agents, and operational surfaces? Read the Full Platform Feature Guide.

Muse and Agent Orchestration

Muse is the central workspace for planning and execution. Behind it is a canonical fleet of 18 agents that cover strategy, publishing, analytics, social, SEO, knowledge synthesis, security, and operational review.

  • Start in Muse when you know the goal but do not want to choose the tool first
  • Use the Console and Agent Fleet to manage specialist behavior more directly
  • Ground responses with brand memory, uploaded documents, approval learnings, and connected MCP tools

See the public team story at Meet the Team.

Workflow Automation

Automation is a first-class platform surface, not an add-on.

  • Build automations visually in Workflow Builder
  • Schedule recurring runs and monitor live queue state in Workflow Scheduling
  • Reuse templates with tiering, difficulty, tenant targeting, and required integrations

Content Operations

AIOHM brings publishing, curation, and asset generation into one tenant workspace.

  • Manage WordPress content and connected publishing flows
  • Process RSS and news items through the autoblog pipeline
  • Use Content Creator for campaign and asset generation
  • Store generated visuals in the Content Library and supporting files in the Document Library
  • Create reusable Design Templates for consistent brand output

Social Publishing and Analysis

Social operations are built around connected Postiz channels and scheduling workflows.

  • Sync and review connected channels in Social Media Manager
  • Draft and schedule content in Post Scheduler
  • Review upcoming posts in the Social Scheduler calendar
  • Inspect channel mix, publishing volume, and available numeric metrics in Social Analytics

Analytics and Reporting

The platform includes both AI performance analysis and system-level provider visibility.

  • Pull GA4 snapshots into AI Analytics and ask the Analytics Agent for interpretation
  • Track social publishing performance in Social Analytics
  • Review degraded providers, failovers, and recovery signals in API Provider Monitoring

Knowledge, Memory, and Retrieval

Brand context is treated as shared infrastructure across the platform.

  • Capture brand voice, audience, visuals, and positioning in the Brand Book
  • Tune chunking, thresholds, and retrieval defaults in RAG Management
  • Manage vector-backed knowledge in Knowledge Entries
  • Extend runtime capabilities through MCP Servers
  • Audit learned patterns and corrections through Agent Memory and session history

Governance, Safety, and Operations

AIOHM includes control surfaces for review, safety, and platform health.

  • Add review gates with Approvals and Quality Rubrics
  • Monitor readiness with Ship Readiness and Platform Observability
  • Track Security Events, GDPR checks, and agent activity across tenants
  • Inspect memory queue behavior and alert routing through Telegram-backed queue monitoring

Multi-Tenancy and Platform Admin

Every brand operates in its own isolated context, while platform operators keep cross-tenant visibility.

  • Tenant databases, storage, and credentials remain separated by brand
  • Platform admins can review leads, clients, users, compliance, and operational signals centrally
  • Demo environments support guided onboarding without mixing live tenant data

Integrations

The live platform is designed around connected services rather than isolated AI prompts.

  • WordPress and WooCommerce for content and commerce
  • Mautic for CRM and email automation
  • Postiz and Facebook for social publishing workflows
  • Google OAuth, Google Analytics, and Google Drive connection flows
  • Gemini, Groq, ShareAI, Ollama, OpenAI, and Anthropic in the broader AI provider ecosystem

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