Kentico - MediaViz AI Integration and Automation

Common Integration Use Cases Between Kentico and MediaViz AI

1. AI-Powered Image and Video Tagging for Kentico Content Libraries

Data flow: MediaViz AI ? Kentico

MediaViz AI can analyze uploaded images and videos, automatically generating tags, object labels, scene descriptions, and metadata that Kentico can store and use in its content management workflows. This helps content teams quickly find approved assets, reuse media across campaigns, and maintain more consistent content classification.

Business value: Reduces manual tagging effort, improves searchability of digital assets, and speeds up content publishing for marketing teams.

2. Automated Content Moderation Before Publishing in Kentico

Data flow: MediaViz AI ? Kentico

When new media is uploaded into Kentico, MediaViz AI can inspect it for inappropriate, low-quality, or non-compliant content and return moderation results before the asset is published. This is especially useful for regulated industries, franchise networks, and global brands that need to enforce content standards across many contributors.

Business value: Lowers brand risk, reduces compliance review workload, and prevents unsuitable media from reaching public-facing pages.

3. Personalized Campaign Asset Selection Based on Visual Content Analysis

Data flow: MediaViz AI ? Kentico

MediaViz AI can classify media by product type, setting, audience context, or visual theme, allowing Kentico marketers to dynamically select the most relevant assets for specific campaigns or audience segments. For example, Kentico can use AI-generated metadata to serve lifestyle images for one segment and product-focused visuals for another.

Business value: Improves campaign relevance, supports personalization, and increases conversion potential through better asset matching.

4. Enriched Media Metadata for Better Site Search and Content Discovery

Data flow: MediaViz AI ? Kentico

MediaViz AI can enrich media files with searchable metadata such as objects, colors, scenes, and brand attributes, which Kentico can then expose in internal search, content filters, and asset libraries. This enables editors, designers, and campaign managers to locate the right media faster without relying on manual naming conventions.

Business value: Reduces time spent searching for assets, improves content reuse, and supports more efficient editorial operations.

5. Visual Asset Performance Feedback Loop for Campaign Optimization

Data flow: Kentico ? MediaViz AI

Kentico can send campaign and page performance data, such as click-through rates, engagement metrics, or conversion outcomes, to MediaViz AI for analysis against the visual characteristics of used assets. This allows teams to identify which types of images or videos perform best for specific audiences or channels.

Business value: Helps marketing teams make data-driven creative decisions, improve asset selection, and optimize future campaigns.

6. Automated Asset Routing to the Right Review Team

Data flow: MediaViz AI ? Kentico

MediaViz AI can detect the content type of an uploaded asset and route it in Kentico to the appropriate approval workflow. For example, product imagery, event photography, and branded lifestyle content can be assigned to different reviewers based on the detected media category or subject matter.

Business value: Speeds up approvals, reduces bottlenecks, and ensures the right stakeholders review the right content.

7. Multi-Channel Content Governance for Distributed Marketing Teams

Data flow: Bi-directional

Kentico can publish approved content and campaign assets, while MediaViz AI can continuously analyze incoming media for compliance, quality, and classification. Together, they support a governed content workflow where distributed teams can submit assets, receive automated checks, and publish only approved media across websites and campaign pages.

Business value: Improves governance across regions and business units, supports scalable content operations, and reduces manual oversight.

8. Legacy Media Library Enrichment During Kentico Migration or Cleanup

Data flow: Kentico ? MediaViz AI ? Kentico

During a Kentico content migration or digital asset cleanup initiative, existing media can be exported to MediaViz AI for analysis and enrichment, then reimported into Kentico with improved metadata and classification. This is useful when older assets have inconsistent naming, missing tags, or limited search value.

Business value: Improves the quality of legacy content libraries, accelerates migration projects, and increases the long-term usability of stored media.