Kentico - Steg.ai Integration and Automation

Common Integration Use Cases Between Kentico and Steg.ai

1. Automated AI Tagging of New Digital Assets

Data flow: Steg.ai ? Kentico

When marketing teams upload new images, banners, or campaign visuals into Steg.ai for analysis, the platform can automatically identify objects, themes, and content attributes and pass structured tags into Kentico. Kentico then uses those tags to organize assets for web pages, landing pages, and campaign content.

• Reduces manual metadata entry for content teams
• Improves asset searchability inside Kentico
• Speeds up campaign page assembly with better classified media

2. Content Protection and Rights Management for Web Publishing

Data flow: Steg.ai ? Kentico

Steg.ai can detect and mark sensitive or protected assets before they are published through Kentico. This helps content teams prevent unauthorized use of licensed images, confidential visuals, or brand-sensitive materials on public websites and campaign microsites.

• Supports governance over premium and licensed content
• Reduces legal and compliance risk
• Helps enforce publishing rules before assets go live

3. Smart Asset Selection for Personalized Campaign Pages

Data flow: Bi-directional

Kentico can send campaign context such as page type, audience segment, or content theme to Steg.ai, which returns relevant image classifications and tags. Kentico can then surface the most appropriate assets for specific audiences, products, or promotions.

• Improves content relevance across customer journeys
• Supports faster creation of personalized landing pages
• Helps marketing teams reuse assets more effectively

4. Automated Content Audit for Brand and Visual Consistency

Data flow: Steg.ai ? Kentico

Steg.ai can analyze images used in Kentico-managed pages and flag assets that do not match brand guidelines, contain outdated visuals, or require review. This enables marketing and brand teams to audit published content at scale.

• Improves brand consistency across digital properties
• Reduces manual review effort for large content libraries
• Helps identify outdated or off-brand visuals quickly

5. Faster Campaign Production Through Pre-Classified Asset Libraries

Data flow: Steg.ai ? Kentico

As creative teams upload campaign assets into Steg.ai, the system can classify them by product line, season, audience, or usage rights and sync that metadata into Kentico. Content editors can then quickly locate approved assets when building campaign pages or promotional content.

• Shortens time to launch campaigns
• Improves collaboration between creative and web teams
• Reduces duplicate asset uploads and misfiled content

6. Secure Publishing Workflow for Regulated or Confidential Content

Data flow: Bi-directional

For organizations in regulated industries, Steg.ai can identify sensitive imagery or restricted content while Kentico manages the publishing workflow and approval process. If an asset is flagged, Kentico can route it for review before publication.

• Supports compliance-driven publishing controls
• Creates a review checkpoint for sensitive media
• Improves accountability across content operations

7. Enhanced Search and Discovery Across Web Content and Media Assets

Data flow: Steg.ai ? Kentico

Steg.ai-generated tags can enrich Kentico asset metadata, making it easier for editors, marketers, and web administrators to search for the right images by subject, object type, or content category. This is especially valuable for organizations managing large digital libraries.

• Improves internal asset discovery
• Reduces time spent searching for approved media
• Supports more efficient content reuse across teams