Frontify - Loci Integration and Automation

Common Integration Use Cases Between Frontify and Loci

Frontify and Loci AI complement each other well in enterprise content operations. Frontify governs brand assets, guidelines, and approved creative materials, while Loci AI analyzes user behavior and content performance to recommend the most relevant content. Together, they help teams deliver on-brand, personalized experiences at scale.

1. Brand-approved content recommendations in CMS experiences

Data flow: Frontify to Loci AI, then Loci AI to CMS

Approved brand assets, campaign visuals, and content metadata from Frontify can be sent to Loci AI so it can recommend only content that aligns with current brand standards. Loci then surfaces the most relevant assets or content modules inside the CMS for website visitors based on behavior, segment, or journey stage.

• Ensures personalized content remains on-brand
• Reduces manual selection of assets by content teams
• Improves conversion by matching content to user intent

2. Personalized campaign asset selection for marketing teams

Data flow: Bi-directional

Marketing teams can use Frontify as the source of approved campaign assets and Loci AI to identify which asset types perform best for different audience segments. Performance insights from Loci can be fed back into Frontify metadata or asset tagging to guide future creative selection.

• Helps marketers choose the right visuals and messages for each audience
• Improves campaign consistency across channels
• Supports data-driven creative decisions

3. Dynamic content blocks built from approved brand assets

Data flow: Frontify to Loci AI to CMS

Frontify can provide a controlled library of approved images, videos, logos, and copy snippets. Loci AI can then recommend which content blocks should be assembled for a specific user or page context. The CMS can render these blocks dynamically while staying within brand governance rules.

• Speeds up content assembly for web and digital teams
• Maintains governance over what can be published
• Supports scalable personalization across many pages

4. Content performance feedback loop for brand asset optimization

Data flow: Loci AI to Frontify

Loci AI can send engagement data such as click-through rates, dwell time, and conversion performance back to Frontify as asset-level insights. Brand and design teams can use this feedback to identify which approved assets are most effective and which need revision or retirement.

• Improves asset lifecycle management
• Helps teams retire underperforming content faster
• Aligns creative production with real audience behavior

5. Audience-segment specific brand content governance

Data flow: Frontify to Loci AI

Frontify can expose brand rules, approved messaging variants, and regional content versions to Loci AI. Loci can then recommend only the content variants that are appropriate for a specific audience segment, market, or channel, reducing the risk of off-brand personalization.

• Supports localization and regional brand compliance
• Prevents incorrect content from being recommended
• Improves governance for regulated or multi-brand organizations

6. Automated content tagging and recommendation enrichment

Data flow: Frontify to Loci AI, then Loci AI to Frontify

Frontify asset metadata such as campaign theme, product line, audience, and usage rights can be used by Loci AI to improve recommendation accuracy. In return, Loci can suggest additional tags or content relationships based on user interaction patterns, helping teams organize assets more effectively in Frontify.

• Improves search and discoverability of brand assets
• Reduces manual tagging effort
• Enhances recommendation quality over time

7. Cross-team workflow for content refresh and reuse

Data flow: Bi-directional

When Loci AI detects declining engagement on certain content, it can trigger a review workflow for the associated assets in Frontify. Brand, design, and content teams can then update or replace the assets, and the refreshed content can be pushed back into the recommendation engine for reuse across channels.

• Creates a closed-loop content optimization process
• Reduces content decay and stale experiences
• Improves collaboration between marketing, design, and digital teams

8. Governance-aware personalization for enterprise web and campaign operations

Data flow: Frontify to Loci AI to CMS and analytics platforms

Frontify can act as the governance layer for approved content, while Loci AI uses behavioral data to personalize delivery. Analytics platforms can then measure how brand-approved personalized content performs across segments, channels, and markets, giving leadership a clear view of both brand compliance and business impact.

• Balances personalization with brand control
• Provides measurable ROI for content operations
• Supports enterprise reporting across marketing and digital teams