Technical Documentation
Master the art of AI Optimization (AIO). Learn how to benchmark, monitor, and influence your brand's presence in the vector knowledge graph.
Introduction to AIO
AI Optimization (AIO) is the evolution of Search Engine Optimization. In 2026, user queries are increasingly answered by LLMs via Search Generative Experiences (SGE) or direct assistant chats.
Instead of ranking pages, brands must now rank as Entities within a multi-dimensional vector space. Vector AI provides the tools necessary to audit this new landscape.
Traditional SEO
- • Keywords & Backlinks
- • Crawler-friendly HTML
- • Desktop/Mobile UX
2026 AIO
- • Vector Association & Attributes
- • LLM Training Data Inclusion
- • Grounded Truth Verification
Indexing Verification
The Indexing Check verifies if your brand exists in the model's knowledge graph. This is achieved via high-precision zero-shot prompts that distinguish between real knowledge and hallucinations.
Analyze your internal knowledge graph for: ENTITY: [Brand Name] CONSTRAINTS: If zero knowledge, return NOT_INDEXED. NO HALLUCINATIONS.
Grounding & Accuracy
Grounding is the process of verifying AI claims against your official website. Our engine uses a 2026 Fact-Checking model to identify Discrepancies (Hallucinations) that could damage your brand's reputation.