Cohere Optimisation for AI Visibility
Support enterprise retrieval workflows with structured knowledge pages, definitions, category authority, and repeatable source data.
Citation behaviour and source selection
Cohere targets enterprise RAG (retrieval-augmented generation) workflows, where retrieval quality depends on structured, repeatable, authoritative knowledge sources that enterprise systems can index reliably.
The signals that decide citation
What to fix for Cohere visibility
- Publish stable, structured knowledge pages for your categories
- Provide clear definitions of your products and services
- Ensure source data is consistent and repeatably retrievable
- Implement schema that supports programmatic indexing
- Maintain stable URLs and content for enterprise retrieval
Cohere is built for enterprise retrieval: RAG workflows, knowledge bases, and programmatic source selection. Optimisation for Cohere is about being the kind of source enterprise systems can index and rely on.
How Cohere selects sources
Enterprise RAG retrieves from curated knowledge sources with predictable structure. Pages that are stable, structured, and schema-consistent are the ones enterprise systems can rely on across retrieval runs. Churn, ambiguity, and unstructured content are disqualifying.
What Cohere values
- Structured knowledge pages — categories, definitions, and facts in stable form.
- Repeatable data — the same facts retrievable consistently over time.
- Category authority — clear ownership of the topics your business defines.
- Programmatic readiness — schema and structure that machines parse reliably.
The optimisation approach
We structure your priority knowledge as enterprise-retrieval-ready sources: stable pages, clear definitions, consistent schema, and repeatable data. Then we verify that the sources retrieve consistently as structured answers.
Compare Cohere
Cohere targets enterprise RAG; Mistral serves the broader open-model ecosystem. See our Mistral vs Cohere comparison.
Optimise for Cohere?
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