STAGE 2 · FIX

See, fix, and serve. The complete content layer for AI.

Connect every CMS source. Govern with workflows. Author inline. Serve as structured data and via vector retrieval. The content layer of the Kodiac platform.

Book demo → See pricing
Governance · pending review, expiring records, approval queue · Kodiac Content
Governance · pending review, expiring records, approval queue · Kodiac Content
10 CAPABILITIES

Connect, normalise, govern, author, serve.

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.

Universal connectors

Sitecore, AEM, Contentful, WordPress, Drupal, Sanity, SharePoint, Dropbox, Google Drive, Salesforce, HubSpot, Shopify, Zendesk + more. Incremental delta sync.

Normalisation engine

Transform structurally different content from every source into a single AI-readable model. Field mapping, asset linking, locale resolution.

Governance & approvals

Status flags, role-based access, approval workflows, audit trails. Precise control over what AI can and cannot use.

Inline content authoring NEW

Edit AI-ready records inline. Write back to source CMS on save. Live AI readiness scoring as you type. Version history with rollback.

Developer surface (RAG) NEW

Vector index, RAG retrieval endpoint, embedding configuration, live test query playground. Real AI infrastructure for AI engineering teams.

Schema.org & JSON-LD export

Auto-generated structured data markup. Improves how AI training pipelines, search engines and retrieval systems index your brand.

NEW IN CONTENT

Two new capabilities. The complete content layer.

Kodiac Content closes the Audit→Content fix loop with inline authoring and exposes content as real AI infrastructure with the developer surface.

Content authoring

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.

  • ✓ Type-aware fields per content type
  • ✓ Live AI readiness score in sidebar
  • ✓ Semantic tag input with auto-suggest
  • ✓ Version history with diff & rollback
  • ✓ Approval workflow integration
  • ✓ Bulk authoring mode (Growth+)

Developer surface

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.

  • ✓ POST /v1/content/retrieve endpoint
  • ✓ Vector index with semantic chunking
  • ✓ Cross-encoder reranking (Growth+)
  • ✓ Custom embedding config (Enterprise)
  • ✓ Webhooks on content lifecycle events
  • ✓ Tier-based rate limits (100–10,000 rpm)
PREREQUISITE FOR KODIAC AGENT

Content powers Agent.

The Brand Agent's knowledge base IS the Content layer. Connect Content first - then deploy your Brand Agent with confidence.

See Kodiac Agent → Book demo
THE KODIAC JOURNEY

Diagnose. Fix. Represent.

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.

STAGE 1 · DIAGNOSE
Kodiac Audit
Previous stage
STAGE 2 · FIX
Kodiac Content
YOU ARE HERE
STAGE 3 · REPRESENT
Kodiac Agent
What comes next →