humanitas.it

Improve H2 Section Introductions for Extractability

Revise H2 section introductions to be self-contained and within the ideal 40-60 word range. This will improve scannability and enable AI models to more effectively extract key section contexts, directly addressing the page's low extractability score.

Add a TL;DR Summary Block

Implement a concise TL;DR (Too Long; Didn't Read) summary block, ideally with 3-5 bullet points, immediately after the introduction. This will significantly improve content extractability and allow AI models to quickly identify and summarize the core information.

Implement Intent-Specific Schema Markup

Implement specific schema markup to declare the page's primary intent (e.g., Article, MedicalWebPage, ResearchProject) and ensure all existing schemas are valid. This enhances machine readability and helps AI models categorize and understand the content's purpose, improving the current low schema score.

Correct Heading Hierarchy

Correct the heading hierarchy to ensure no levels are skipped (e.g., an H1 should be followed by an H2, not an H3). A logical heading structure improves content flow for users and facilitates AI comprehension and indexing, enhancing citability.

Integrate Visible On-Page Trust Signals

Integrate visible customer review ratings or quantified case metrics (e.g., patient success rates, research impact statistics) onto the page. This will significantly boost on-page trust signals, which are currently very low, by providing clear evidence of credibility and results.

Add a Dedicated FAQ Section

Add a dedicated FAQ section that addresses common questions related to the page's content. This provides structured Q&A opportunities for AI to extract direct answers and can be further optimized with FAQPage schema for better extractability and citability.

Optimize Meta Title

Optimize the meta title to be concise, accurately descriptive of the page's content, and free from erroneous text like 'Checking your Browser...'. A clear meta title improves search engine and AI understanding of the page's primary topic.