Scattered sources
The useful context exists, but no shared system knows which version should guide action.
Company Intelligence is Citara’s governed, continuously updated representation of what a company is, offers, knows, proves, decides and prioritizes. It gives AI assistants, agents and automations one approved context layer instead of allowing each system to infer the business from scattered websites, documents and conversations.
Direct answer
Company Intelligence is Citara’s governed, continuously updated representation of what a company is, offers, knows, proves, decides and prioritizes. It gives AI assistants, agents and automations one approved context layer instead of allowing each system to infer the business from scattered websites, documents and conversations.
The problem
Relevant knowledge is spread across websites, presentations, CRM records, product documentation, customer conversations, internal files and people’s experience. AI cannot reliably distinguish current from outdated, approved from speculative, evidence from opinion or corporate wording from personal phrasing.
The useful context exists, but no shared system knows which version should guide action.
Teams and tools may repeat different descriptions, terms, prices or proof.
AI can retrieve information without knowing who owns it or whether it is approved.
Eight intelligence domains
The domains organize what the company means, proves, decides and learns without replacing the systems that already store the underlying material.
Identity, history, structure, markets and strategic direction.
Products, services, packages, commercial terms and use cases.
Customers, stakeholders, buyer roles, needs and buying situations.
Approved positioning, differentiators, statements and boundaries.
References, results, credentials, citations and supporting sources.
Language, terminology, tone and brand expression.
Priorities, approvals, exclusions and operating choices.
Market changes, customer questions, competitors and performance data.
Operating flow
Each stage keeps context traceable, owned and useful across applications.
Source — identify relevant company material
Verify — connect claims to evidence and ownership
Version — keep changes traceable
Approve — decide what becomes durable context
Activate — power visibility, agents and automation
Measure — inspect how systems use the context
Learn — return verified change to the backlog
Applications
Approved context can support Marketing, Sales, Product, Support and Knowledge without forcing every team to rebuild the company definition.
Improve how AI systems find, understand, cite and recommend the company.
Learn more →Give bounded agents approved product, audience and decision context.
Ground repeatable workflows in current rules and evidence.
Prepare offers, policies and proof for AI-mediated buying.
System comparison
It can connect to existing repositories, knowledge bases, CRMs, data warehouses and RAG systems while governing the meaning and authority of the context drawn from them.
| System | Primary job |
|---|---|
| Document repository | Stores files |
| Knowledge base | Organizes information for retrieval |
| CRM | Stores customer and commercial records |
| Data warehouse | Consolidates structured data for analytics |
| RAG system | Retrieves source material for model responses |
| Company Intelligence | Governs what the company means, proves, decides and allows AI systems to use |
Governance
Source ownership, permissions, claim approval, version history, expiry dates, review cycles, publication boundaries and role-based access determine which context may guide which action.
Every durable object has a responsible human owner.
Claims and decisions retain status, source and review history.
Public, internal and restricted knowledge remain separated.
Learn more →How companies start
A bounded outcome proves both the context model and the governance model before expansion.
Ground the offer and evidence behind priority buyer questions.
Give one bounded agent approved product and audience context.
Define the source set, workflow, exceptions and approval path.
Make offer, policy and proof context comparable and machine-readable.
Create a shared layer for claims, voice, evidence and decisions.
Frequently asked questions
A governed, continuously updated representation of company truth, evidence, decisions, priorities and signals for approved AI applications.
A knowledge base organizes information for retrieval. Company Intelligence also governs meaning, ownership, approval, validity and permitted use.
RAG retrieves source material for a model response. Company Intelligence defines which context is approved, current and appropriate before retrieval or action.
Company, offer, audience, claims, evidence, voice, decisions and signals relevant to a defined business outcome.
The accountable human owner for the relevant domain, claim or workflow.
On an agreed review cycle and whenever verified market, product, evidence or decision changes require it.
Yes, with role-based access and domain-specific permissions.
No. It can connect to and govern context drawn from existing systems.