OpenText TeamSite - LiveSite Content Services - Loci Integration and Automation

Common Integration Use Cases Between OpenText TeamSite - LiveSite Content Services and Loci

1. AI-Powered Personalized Homepage and Landing Pages

Data flow: Loci ? OpenText TeamSite - LiveSite Content Services

Loci analyzes user behavior, content affinity, and engagement patterns to generate recommended content modules for the website homepage or campaign landing pages. OpenText TeamSite - LiveSite Content Services then renders those recommendations dynamically within the digital experience.

• Improves click-through rates by surfacing the most relevant articles, products, or offers
• Supports real-time personalization without manual page-by-page curation
• Helps marketing teams launch targeted experiences faster across segments

2. Contextual Content Recommendations Within Article and Product Pages

Data flow: Bi-directional

As users consume content in TeamSite-powered pages, engagement signals such as page views, scroll depth, and content interactions are sent to Loci. Loci returns related content recommendations, which TeamSite displays in-page, such as ?recommended reads,? ?next best product,? or ?related resources.?

• Increases session depth and reduces bounce rates
• Improves content discovery across large content libraries
• Creates a feedback loop that continuously refines recommendation quality

3. Personalized Customer Portal Content Based on User Behavior

Data flow: Loci ? OpenText TeamSite - LiveSite Content Services

For authenticated customer portals, Loci can evaluate historical behavior, preferred topics, and recent interactions to recommend the most relevant knowledge articles, support content, or account-related resources. TeamSite uses these recommendations to tailor portal content by user or account segment.

• Reduces time to find relevant information in self-service portals
• Improves customer satisfaction and portal adoption
• Supports account-specific experiences for B2B and enterprise customers

4. Editorial Content Prioritization for Marketing and Content Teams

Data flow: OpenText TeamSite - LiveSite Content Services ? Loci

Content metadata, taxonomy, publication dates, and performance signals from TeamSite can be sent to Loci so the recommendation engine can better understand content relevance and freshness. This helps editorial teams identify which assets should be promoted, updated, or retired based on engagement trends.

• Improves content governance and lifecycle management
• Helps editors prioritize high-performing or underperforming assets
• Aligns content strategy with actual audience behavior

5. Segment-Based Campaign Personalization Across Digital Channels

Data flow: Bi-directional

Marketing teams can use TeamSite to publish campaign content while Loci uses audience behavior to recommend the most relevant assets for each segment. The resulting recommendations can be fed back into TeamSite to personalize banners, call-to-action blocks, and campaign modules across web properties.

• Enables more precise targeting for campaigns and promotions
• Improves conversion performance by matching content to audience intent
• Reduces manual segmentation work for digital marketing teams

6. Intelligent Content Discovery for Knowledge Bases and Help Centers

Data flow: Loci ? OpenText TeamSite - LiveSite Content Services

In help centers and knowledge bases, Loci can recommend the most relevant support articles based on the user?s current page, search history, and interaction patterns. TeamSite delivers these recommendations in context, helping users resolve issues faster.

• Deflects support tickets by improving self-service success
• Shortens search time for customers and internal users
• Supports continuous improvement of support content relevance

7. Analytics-Driven Optimization of Digital Experience Content

Data flow: OpenText TeamSite - LiveSite Content Services ? Loci

TeamSite content performance data, including impressions, engagement rates, and conversion outcomes, can be shared with Loci to improve recommendation logic. Loci uses this data to identify which content types, topics, and formats perform best for specific audiences.

• Improves recommendation accuracy over time
• Supports data-driven decisions for content planning
• Helps digital teams optimize content investments based on measurable outcomes

8. Cross-Channel Personalization for Web and Portal Experiences

Data flow: Bi-directional

Loci can analyze user behavior across multiple touchpoints and provide recommendation outputs that TeamSite uses to personalize web and portal experiences consistently. TeamSite can also send content metadata and interaction data back to Loci so recommendations remain aligned across channels and user journeys.

• Creates a consistent experience across websites, portals, and content hubs
• Supports omnichannel personalization strategies
• Improves collaboration between content, analytics, and digital experience teams