GEO / AIO Technical Documentation
This documentation explains how Generative Engine Optimization (GEO) and AI Optimization (AIO) work at a technical level,
what we measure, and what we deliver when optimizing a site for AI discovery, understanding, trust, and selection.
Definitions
GEO (Generative Engine Optimization) increases the probability that AI systems choose and cite your site when generating answers.
AIO (AI Optimization) ensures your content and technical signals are machine-interpretable, crawlable, and trustworthy for AI retrieval and reasoning systems.
In practice: AIO = being understood • GEO = being selected.
How AI Systems Use Websites
- Discovery: AI bots and search crawlers find your pages.
- Access: robots rules, headers, and server behavior determine what’s crawlable.
- Parsing: content is extracted into semantic chunks (headings, entities, attributes).
- Trust: systems validate consistency across your site and the public web.
- Selection: AI chooses sources that are clear, corroborated, and answer-ready.
Read the full breakdown: How GEO / AIO Works
What We Audit
- Bot Accessibility: crawl permissions, status codes, render behavior, indexability.
- Structured Data & Metadata: schema coverage, entity completeness, page intent signals.
- Content Discoverability: internal linking, information architecture, chunking.
- Consistency & Trust Signals: NAP/brand consistency, authorship, citations, corroboration.
- Technical Reliability: performance, caching correctness, canonicalization, duplication.
See scoring details: Audit & Scoring Methodology
Deliverables
- Findings report: prioritized issues, impact, and remediation steps.
- Technical changes: structured data, metadata, crawl rules, canonical fixes.
- Content changes: answer-first blocks, entity clarification, FAQs, internal link upgrades.
- Validation: before/after crawl tests and structured data verification.
See the full delivery flow: Implementation & Deliverables
Full Documentation
Request a GEO / AIO Audit
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