Linkence for Confluence, AI search for wikis, specs and internal documentation

An AI knowledge base over Confluence spaces

Linkence makes Confluence pages part of a wider enterprise search layer, so users can ask questions without knowing the exact space or page title.

When the truth lives in Confluence, Linkence reduces duplicate Slack threads and repeated onboarding questions. Ask the question and get a cited excerpt plus the page link.

Confluence content Linkence makes searchable

• Product specs and requirements
• Engineering runbooks and architecture decisions
• Support playbooks and macro libraries
• HR guides and onboarding docs
• Migration plans and release notes
• SOPs and internal process documentation

What Linkence can search in Confluence

Linkence indexes pages and attachments from the spaces you approve, body text, tables where extractable, comments when included by policy, and linked files that flow through ingestion.

• Wiki pages and embedded documentation
• Specs, runbooks, and ADRs
• Knowledge articles referenced by support or success teams

What Linkence can do with Confluence

Confluence is primarily read-oriented knowledge for AI Chat. When Actions are enabled, summaries or drafts can pull cited excerpts into tickets, mail, or chat updates so downstream steps reference the approved wiki page.

• Cited answers for onboarding and policy questions
• Summaries that link back to canonical wiki pages
• Cross-tool answers that combine Confluence with Jira, Slack, or SharePoint

Where Confluence works best

Confluence is ideal for product specs, engineering runbooks, support playbooks, HR and onboarding guides, architecture decisions, customer-facing macro libraries, and process documentation that needs to be reused across teams.