AI Visibility Knowledge Base
Everything you need to understand, measure, and improve your visibility to large language models, AI crawlers, and answer engines. From foundational concepts to advanced optimization strategies.
Welcome to the Optiview Knowledge Base
As generative AI becomes the default way people find information, understanding how LLMs discover, interpret, and cite your content is critical. This knowledge base provides deep, actionable guidance on AI Visibility—helping you future-proof your brand's discoverability in the age of ChatGPT, Perplexity, Claude, and beyond.
About Optiview & AI Visibility
Understand what AI Visibility means, how Optiview measures it, and why it matters for your brand's future in the generative AI era.
Learn the fundamentals →Audit Process & Scoring
Deep dive into how our audits work, what the Visibility Score measures, and how to interpret your results across technical, authority, and citation dimensions.
See how we score →AI Citations & Crawlers
Learn how AI assistants source and reference web content, which crawlers we track, and what citations mean for your visibility.
Understand citations →Structured Data & Schema
Master the schema markup that makes your content machine-readable. Learn which types matter most and how to implement them correctly.
Implement schema →Improving Your Score
Convert audit findings into action. Discover which fixes have the biggest impact and how long it takes to see changes in AI visibility.
Get optimization tips →Use Cases & Examples
See real-world applications across e-commerce, healthcare, publishing, and B2B SaaS. Learn what works for sites like yours.
See examples →Privacy & Data Handling
Understand our data sources, accuracy standards, and privacy practices. GDPR compliance, data storage, and transparency.
Review our practices →Glossary
Clear definitions of AI Visibility, AEO, GEO, answerability, citation coverage, and other key terms used throughout our platform.
Browse definitions →