A content operating system for the AI era. Built for enterprises that refuse to let AI speak for them without a script.
Built for enterprise · SOC 2 Type II · Works with your existing stack
A realistic 16-week path to MVP. No replatforming required.
Kodiac connects to your CMS, DXP, PIM, DAM and CRM. No replatforming — we sit as an intelligence overlay.
Run a visibility audit. See exactly how ChatGPT, Gemini and Copilot interpret, summarise and recommend your brand today.
Content is modelled into typed schemas — entities, attributes, relationships — aggregated into a governed content warehouse.
Editors generate, variant and approve in the Studio. Your brand agent responds to customer agents with policy intact.
Each phase ships independently. The operating system is the composition.
Establish AI visibility as a measurable, manageable enterprise risk and opportunity. Observe and diagnose what agents read, surface, and leave out.
Transform fragmented content into governed, typed, reusable blocks. The CMS evolves from publishing tool to content warehouse.
Move from static publishing to active participation. Your brand agent interprets intent, retrieves content, and responds within policy in real time.
As AI becomes the primary interface for discovery and decisions, organisations lose transparency over how their content is found and represented. Kodiac introduces a diagnostic and control layer — making AI performance a measurable, manageable enterprise metric.
Analyse how AI systems interpret, summarise, and recommend your brand. Identify gaps in structure, trust signals, and consistency across all systems.
AI-generated and expert-informed actions ranked by impact — content restructuring, missing entities, conflicting metadata, weak authority signals.
Connect to CMS, DXP, CRM, PIM, and DAM. Create a unified view of content performance across AI environments and human touchpoints.
Understand how your AI visibility compares against competitors by category, topic cluster, and purchase intent — with monthly tracking.
Review cycles and AI optimisation tasks layered on top of existing systems — with clear ownership, accountability, and continuous improvement.
AI performance dashboards built for C-suite and board-level reporting. Visibility shifts from unknown to a tracked, comparable enterprise metric.
Prompt-first content creation, automatic variants as governed branches, and compliance embedded in every workflow. Content teams stay in control of an AI system — not trapped inside one.
| Field | Base | UK student |
|---|---|---|
| Headline | Sustainable speed | Run smarter |
| CTA | Shop now | See student offer |
| Wet weather | None | Tested for rain |
The agent layer enables direct interaction between your brand agent and customer-side AI — personal assistants, copilots, and procurement agents. Content is no longer just published. It is requested, negotiated, and delivered dynamically from a governed, structured source of truth.
A custom AI agent representing your organisation — encoding brand rules, policies, content structures, and product knowledge across all enterprise systems.
Engage customer-side agents and copilots directly — interpreting intent, clarifying constraints, and generating structured, compliant responses in real time.
Brand agent connects across CMS, PIM, DAM, and CRM to retrieve and compose fully contextualised responses on demand — sourced from the governed content warehouse.
Personalised, contextualised outputs — recommendations, comparisons, decision support — delivered directly to customer agents, fully governed and compliant.
Monitor how agents interact, what content is requested, and what influences decisions. A control tower for AI-mediated engagement with continuous optimisation loops.
The long-term horizon: content that is self-optimising and continuously refined based on how AI systems and customers engage with it — without manual intervention.
Together, the three product lines form a continuous improvement loop.
Visibility audits reveal exactly which gaps in schema, metadata, and trust signals are hurting your AI inclusion — giving the CMS team a prioritised, evidence-based roadmap.
Aurora's governed content warehouse is what the brand agent interrogates at runtime. Without structured, compliant content as a foundation, agent responses cannot be trusted.
What customer agents request — and what content they act on — flows back as continuous optimisation signals into the visibility layer and Aurora's content model.
Six fundamental shifts in how enterprise organisations relate to AI.
Join forward-thinking enterprises using Kodiac to govern how AI sees, understands, and acts on their brand.