Your knowledge is scattered across CMSs, a PIM, a CRM, a DAM, knowledge bases and documents — none of it designed to represent your organisation to AI. Kodiac Content sits across those systems and turns what they hold into structured, governed, machine-readable knowledge. Nothing gets replaced.
From £799/mo · The heart of the Kodiac platform
Seeing how AI understands you is diagnosis. Changing what it can rely on is control. This is where control lives.
Kodiac Content is the foundation everything else builds on — including Phase 3.
Connectors for Sitecore, AEM, Contentful, WordPress, Drupal, Sanity, SharePoint, Google Drive, Salesforce, HubSpot, Shopify, Zendesk and more pull knowledge from where it already lives. Your source systems stay canonical; changes write back on save.
A normalisation engine turns structurally different content from every source into one consistent model — fields mapped, assets linked, locales resolved, duplicates reconciled.
The result: one trusted, structured representation of your organisation, built from the systems you already run.
Your existing systems
CMS × 3 · PIM · CRM · DAM · Knowledge bases · SharePoint · Documents · Product systems
Kodiac Content
Connect · Normalise · Structure · Govern · Deliver
One structured representation
Entities · Relationships · Attributes · Approved facts · Machine-readable records
Modern AI reads unstructured text extremely well. Structure exists because you need control: over what is current, what is approved, what a claim means, and what AI should treat as reliable. Structure is an enterprise discipline, not a workaround.
The same fact stated once, used everywhere — never three versions of the truth.
Claims defined by you, not inferred by a model from scattered prose.
Products, people, markets and claims connected the way you intend them to be read.
Every record carries its owner, approval state and version history.
Review, approval and expiry are part of the knowledge itself, not a spreadsheet beside it.
Regulated claims stay inside boundaries you set — provably, with an audit trail.
AI systems weight verifiable, attributable sources above everything else.
The right fact returned precisely — not an approximation of a page about it.
Connect, model, govern, author, deliver — one system, end to end.
Type-aware models for products, services, people, locations, policies and claims — with schema.org and JSON-LD generated automatically from them.
A shared vocabulary for your organisation. Entities defined once, tagged consistently across every source, with semantic auto-suggest for authors.
Entities and their relationships as a first-class asset — how products relate to markets, claims to evidence, people to expertise.
Status flags, role-based access, approval workflows and expiry dates. Precise control over what AI-facing surfaces can and cannot use.
Review queues, assignments and escalation across teams — so legal, product and brand all sign off in one place.
Every change diffed, attributable and reversible. You can always answer: who approved this, when, and what did it replace?
Live readiness scoring as you write — completeness, consistency and clarity measured per record, with fixes suggested inline.
Regulated claims locked to approved wording. Jurisdiction-aware variants. Evidence attached to the claim, not filed somewhere else.
Edit structured records directly in Kodiac; changes write back to the source CMS on save. Source stays canonical — no forked content.
Structured knowledge is only useful if systems can consume it. Kodiac Content delivers your governed representation as machine-readable output: schema.org and JSON-LD for the open web, and a retrieval API for your own systems.
Engineering teams get a retrieval endpoint with a vector index and semantic chunking, webhooks on content lifecycle events, and a live test playground — so internal assistants and custom applications are grounded in approved knowledge, not whatever a crawl happened to find.
Every consumer — your website, your assistants, external AI — reads from the same governed source.
The CMS isn't going away — its role is changing. Built to manage pages for human visitors, it now becomes part of something larger: enterprise knowledge infrastructure. Web pages, feeds, AI answers and agent responses all render from the same structured, governed source of truth.
This is the long-term direction Kodiac Content is built for: a content operating system for the AI era — with your organisation, not a third party, holding the master record.
One source, many outputs
Structured knowledge
governed · versioned · approved
You actively improve how AI understands your organisation.
And once your knowledge is structured and governed, you can serve it to AI directly. That is Phase 3.
Three phases of organisational maturity in an AI-mediated world. Content is the foundation phase — everything Agent serves in Phase 3 comes from here.
Starter, Growth and Enterprise tiers, sized by connected sources and records. Governance, versioning and delivery included in every tier.
Start with the free audit to see how AI understands you today — then we'll map what a structured knowledge layer looks like across your systems.
