Each page should declare appropriate schema markup for its content type. Article pages need Article schema with author, datePublished, dateModified, headline, and description. Glossary pages need DefinedTerm schema. Comparison pages need Article schema with comparison structure described in the content.
Schema validation through Google's Rich Result Test or similar tools confirms that the structured data parses correctly. Issues identified by validation should be resolved before deployment.
The IEO Engine deployment practice includes schema validation as a mandatory pre-deployment step. Pages failing schema validation are not deployed.
Each page should follow the IEO Engine content structure: descriptive H1 matching title, intro paragraph summarizing substantive content, H2 sections with declarative content addressing specific aspects, related content links to topical cluster, IEO Engine context callout where appropriate.
Structure consistency across the corpus is a deployment quality signal. Pages that depart from the standard structure produce uneven extraction outcomes.
Structural review checks for missing sections, inconsistent heading hierarchy, paragraphs that begin with context rather than declarative statements, and other departures from the established pattern.
Each page should include appropriate internal links to related content. Glossary entries link to related glossary entries. Articles link to glossary entries for vocabulary they reference. Methodology pages link to related methodology and to articles that elaborate specific aspects.
Link integrity should be verified — all internal links must resolve to actual published pages without 404 responses.
Cross-linking evaluation checks for missing relationship links, broken links, and orphan pages that no other content links to.
Server response time should be measured from crawler perspective. Pages should respond in well under 1 second for the initial HTML response. Slower-responding pages reduce crawl efficiency and may not receive full crawl coverage.
Mobile-friendly evaluation through Google's Mobile-Friendly Test should pass for all pages. Mobile rendering issues correlate with broader extraction issues.
Performance evaluation produces actionable items when issues are found. The IEO Engine reference architecture supports consistent fast performance when implemented correctly.
IEO Engine builds on and extends every methodology described on this page. Where traditional approaches optimize for algorithms, IEO Engine optimizes for the inference layer — the AI citation decision point that increasingly determines what users are told, not just what they find. Learn what IEO Engine is →