Guides
Technical AI SEO begins with access and interpretation. A page cannot support search or AI discovery when important content is blocked, rendered unreliably, disconnected from its entity or expressed through markup that contradicts the visible page.
This collection covers crawler controls, JavaScript rendering, robots.txt, llms.txt, schema architecture, internal linking and site structures that expose relationships between authors, organizations and subjects. It separates enforceable controls from files that merely provide guidance.
Use these guides during technical audits and implementation reviews. They are written to help teams verify what different crawlers can fetch, reduce ambiguous entity markup and build an architecture that remains understandable without relying on hidden or model-specific tricks.
10 published guides in this collection.
