Connect every CMS source. Govern with workflows. Author inline. Serve as structured data and via vector retrieval. The content layer of the Kodiac platform.
Kodiac Content closes the Audit→Content fix loop. When Audit identifies content as the root cause, Content fixes it inline. Then serves it to every AI surface that needs it.
Sitecore, AEM, Contentful, WordPress, Drupal, Sanity, SharePoint, Dropbox, Google Drive, Salesforce, HubSpot, Shopify, Zendesk + more. Incremental delta sync.
Transform structurally different content from every source into a single AI-readable model. Field mapping, asset linking, locale resolution.
Status flags, role-based access, approval workflows, audit trails. Precise control over what AI can and cannot use.
Edit AI-ready records inline. Write back to source CMS on save. Live AI readiness scoring as you type. Version history with rollback.
Vector index, RAG retrieval endpoint, embedding configuration, live test query playground. Real AI infrastructure for AI engineering teams.
Auto-generated structured data markup. Improves how AI training pipelines, search engines and retrieval systems index your brand.
Kodiac Content closes the Audit→Content fix loop with inline authoring and exposes content as real AI infrastructure with the developer surface.
Inline structured editor for AI-ready records. The change writes back to source CMS on save - source remains canonical. Optional Kodiac-only override for AI-specific fields not in source.
Real AI infrastructure for engineering teams. RAG retrieval endpoint. Vector index. Embedding configuration. Live test query playground. Use Kodiac to ground custom LLM responses with brand-verified content.
The Brand Agent's knowledge base IS the Content layer. Connect Content first - then deploy your Brand Agent with confidence.
Audit is the diagnostic. Content fixes the structural issues it finds. Agent makes you the source AI queries directly. One platform, three stages, end-to-end agent readiness.