Content Types

From each Semantic Core, ZENO Visibility generates a complete content package with different content types. Each type fulfills a specific function in building your semantic authority.

Hub Pages (Pillar Content)

The central overview page for a main topic. It links to all related sub-content and forms the backbone of the internal linking structure. AI models recognize hub pages as thematic entry points and weight them accordingly higher.

Example: "Everything about e-learning platforms" as a hub → links to comparisons, guides, FAQs, and case studies about e-learning.

Guide Articles

In-depth expert articles that comprehensively cover a subtopic from the Semantic Core. They answer the cluster's W-questions and position your company as experts. Including SEO-optimized title, excerpt, and metadata.

Comparisons

Structured comparisons of your solution with alternatives or competitors. Comparison articles are particularly effective because AI models frequently need to answer comparison questions (e.g., "Which is better: X or Y?").

Case Studies

Concrete application examples with initial situation, solution, and result. They provide the "social proof" that AI models use to support recommendations. ZENO Visibility generates realistic scenarios based on your industry and USPs.

FAQ Collections

Structured question-answer pairs derived directly from the Semantic Core's W-questions. They automatically use FAQPage Schema.org markup — which AI models prefer as a data source.

Social Media Posts

Platform-specific social posts can be created for each generated piece of content. ZENO Visibility adjusts tone, length, hashtags, and format to each channel: LinkedIn (professional), Instagram (visual), X/Twitter (compact), Facebook, TikTok, Pinterest, and Reddit.

All content types are automatically derived from the Semantic Core — you don't need to create individual briefings. The AI generates coherent, coordinated content packages.

Quality Control

Each generated piece of content is evaluated with a <strong>Semantic Authority Score</strong>. This measures how well the content meets the semantic requirements for AI visibility: topic coverage, entity density, question coverage, and linking depth.