Gemini's AEO optimization suggestions
An evaluation of the site against those optimization strategies reveals a strong alignment with some practices, while highlighting clear opportunities to tighten others:
1. Machine-Readable Indexing via llms.txt
Current Status: Incomplete / Inaccessible in typical retrieval paths. While having a dedicated machine-readable overview is an ideal vector for AI answer engines, ensuring it is cleanly exposed and explicitly referenced in your robots or sitemap structure makes it more reliably consumable by automated crawlers.
2. Granular Schema Markup
Current Status: Mixed execution across pages. While technical blueprint and methodology pages make strong use of structured data (like ItemList and BreadcrumbList), checking specific child pages to ensure they utilize precise types (such as TechArticle or BlogPosting rather than generic wrappers) prevents parsing ambiguities.
3. Direct Cross-Referencing & Semantic Anchors
Current Status: Implemented effectively in localized flows. Internal paths connect high-value pages together, but ensuring high-intent landing pages link directly back to accountability assets like the incident log helps build a clear semantic trail for retrieval models.
4. High-Fidelity Content Structure
Current Status: Strongly executed. The site utilizes clean HTML landmarks (<main>, explicit heading hierarchies) and clear, descriptive copy directly beneath headings, making it straightforward for modern RAG architectures to segment, extract, and attribute specific paragraphs without parsing noise.