Getty Images - Integration and Automation

Common Integration Use Cases Between Getty Images and Loci

Getty Images and Loci complement each other well in content-driven organizations. Getty Images supplies licensed visual assets, while Loci uses behavioral and content signals to recommend the most relevant content to each user. Together, they can improve content discovery, increase engagement, and reduce manual effort for marketing, editorial, and digital teams.

1. Personalized Getty asset recommendations inside CMS and digital experience platforms

Data flow: Getty Images to Loci, then Loci to CMS or front-end experience

When editors, marketers, or content managers browse a CMS, Loci can analyze page context, user behavior, and historical engagement to recommend the most relevant Getty Images assets for a campaign, article, or landing page. This reduces time spent searching large image libraries and helps teams select visuals that are more likely to perform well with target audiences.

• Marketing teams get faster access to high-performing imagery
• Editors see assets aligned to article topic and audience interests
• Content teams reduce manual searching across large Getty collections

2. Audience-based visual personalization for websites and campaigns

Data flow: Loci to Getty Images, then Getty Images to website or campaign platform

Loci can identify user segments based on browsing behavior, content affinity, or engagement patterns, then recommend Getty Images visuals that match those segments. For example, a travel brand can show different Getty imagery to users interested in luxury travel versus adventure travel. This supports more relevant digital experiences and can improve click-through and conversion rates.

• Personalized hero images on landing pages
• Segment-specific visuals in email campaigns
• Better alignment between audience intent and creative assets

3. Editorial content enrichment with recommended Getty visuals

Data flow: CMS and analytics to Loci, then Loci to Getty Images

For publishers and media teams, Loci can analyze article metadata, topic trends, and reader engagement to suggest Getty editorial images that fit the story and audience interest. This helps editorial teams choose visuals that strengthen story relevance and improve reader engagement without requiring extensive manual review.

• Faster image selection for breaking news and feature content
• Improved visual relevance for editorial pages
• More consistent content production workflows

4. Campaign asset optimization based on engagement performance

Data flow: Getty Images and campaign analytics to Loci, then Loci to marketing tools

Marketing teams can feed campaign performance data into Loci so it learns which Getty Images assets drive stronger engagement for specific audiences, channels, or content types. Loci can then recommend similar assets for future campaigns. This creates a feedback loop that helps teams make better creative choices and reduce underperforming asset usage.

• Identify which image styles perform best by audience segment
• Reuse high-performing visual patterns across campaigns
• Improve ROI on licensed creative assets

5. Automated asset suggestions for content creators in design and publishing workflows

Data flow: CMS, design tools, and user behavior data to Loci, then Loci to Getty Images

When a content creator starts a new page, email, or social post, Loci can recommend Getty Images assets based on the topic, past content performance, and current user interest trends. This is especially useful for distributed marketing teams that need to produce content quickly while maintaining brand consistency and licensing compliance.

• Speeds up creative production cycles
• Reduces dependency on manual asset searches
• Supports brand-aligned content creation at scale

6. Smarter content library curation and tagging support

Data flow: Getty Images usage data to Loci, then Loci to DAM or CMS

Organizations managing a large internal visual library can use Loci to analyze which Getty Images assets are most frequently selected, reused, or engaged with. Based on this behavior, Loci can recommend better categorization, highlight high-value assets, and surface related visuals for future use. This improves discoverability and helps content operations teams maintain a more usable library.

• Prioritize assets that drive the most engagement
• Improve internal content library organization
• Support content governance and reuse strategies

7. Cross-team workflow for campaign planning and audience testing

Data flow: Bi-directional between Getty Images, Loci, and analytics platforms

Marketing, editorial, and analytics teams can collaborate by using Loci to test which Getty Images visuals resonate with different audience groups before full campaign launch. Getty Images provides the licensed assets, while Loci uses behavioral insights to recommend the strongest candidates. Teams can then compare performance across variants and refine creative decisions based on actual audience response.

• Supports A/B testing of visual content
• Improves collaboration between creative and analytics teams
• Reduces risk of launching low-performing assets

Overall, integrating Getty Images with Loci helps organizations move from manual asset selection to data-informed visual personalization. The result is faster content production, better audience engagement, and more efficient use of licensed media across marketing, editorial, and digital channels.