- Glean Integration and Automation

Common Integration Use Cases Between Loci and Glean

1. Personalized enterprise search results based on user behavior

Data flow: Glean → Loci → Glean

Glean captures employee search queries, clicked results, and content engagement patterns. Loci analyzes this behavioral data to identify content relevance and recommend the most useful documents, articles, or knowledge assets. Those recommendations are then surfaced back in Glean search results or side panels.

• Improves search relevance for employees across departments
• Reduces time spent finding internal information
• Helps surface high-value content that users are most likely to act on

2. Role-based content recommendations inside the employee knowledge experience

Data flow: Glean → Loci

Glean provides user profile data such as department, role, team, and access patterns. Loci uses this context to tailor content recommendations for specific employee groups, such as sales, HR, engineering, or customer support. This enables more relevant content delivery across the organization.

• Supports targeted knowledge delivery by role and function
• Improves adoption of internal content libraries
• Helps new employees find the most relevant resources faster

3. Knowledge gap detection and content creation prioritization

Data flow: Glean → Loci → CMS or content operations tools

Glean search analytics can reveal repeated failed searches, low-result queries, and content abandonment patterns. Loci can analyze these signals to identify missing or underperforming content topics and recommend what should be created, updated, or promoted in the CMS.

• Helps content teams prioritize updates based on real employee demand
• Reduces repeated search failures and support escalations
• Improves internal knowledge coverage over time

4. Contextual content promotion for business-critical initiatives

Data flow: CMS or campaign systems → Loci → Glean

When a company launches a new policy, product, sales playbook, or compliance update, Loci can identify the most relevant audiences and recommend the content to them. Glean then surfaces those recommendations in employee search and discovery workflows, ensuring important content reaches the right people.

• Increases visibility for priority business content
• Supports change management and internal communications
• Improves compliance and policy awareness

5. Search-driven content ranking optimization

Data flow: Glean → Loci → CMS

Glean provides data on which documents are frequently searched, opened, skipped, or saved. Loci uses this engagement data to rank content by relevance and freshness, then feeds those insights back to the CMS so editors can improve metadata, summaries, and placement.

• Improves content discoverability across internal systems
• Helps editors optimize titles, tags, and descriptions
• Increases the business value of existing content assets

6. Personalized onboarding knowledge journeys

Data flow: Glean → Loci → Glean

For new hires, Glean can provide role, team, and onboarding stage data. Loci uses this information to recommend the most relevant onboarding documents, training materials, and internal FAQs. These recommendations can be delivered through Glean to create a guided knowledge experience.

• Shortens ramp-up time for new employees
• Reduces dependency on managers and HR for routine questions
• Improves onboarding consistency across teams

7. Cross-functional knowledge intelligence for support and operations teams

Data flow: Bi-directional between Glean and Loci

Support, operations, and enablement teams can use Glean to identify what employees are searching for and where knowledge is missing. Loci can then recommend the most relevant internal content or suggest related assets from the CMS. This creates a feedback loop that improves both knowledge access and content quality.

• Helps teams respond faster to recurring internal questions
• Reduces duplication of effort across support channels
• Creates a continuous improvement cycle for enterprise knowledge