VECTORY Blog
Deep dives into AI search visibility, AEO/GEO/AIO optimization strategies, industry analysis, and the future of how AI models discover and cite brands.
What is AEO? The Complete Guide to Answer Engine Optimization in 2026
Answer Engine Optimization (AEO) is the practice of structuring your content to be directly extracted and cited by AI answer engines like ChatGPT, Gemini, and Perplexity.
GEO vs SEO: Why Generative Engine Optimization is the Future of Search
Traditional SEO optimizes for Google rankings. GEO optimizes for AI recommendations. Here's why you need both β and how they work together.
llms.txt: The New robots.txt for AI β Complete Implementation Guide
llms.txt is the emerging standard that tells AI models what your website does. Learn how to implement it and why it matters for AI visibility.
Neural Visibility Score (NVS): How to Measure Your AI Search Presence
NVS is the composite metric that quantifies how visible your brand is across AI answer engines. Learn what it measures and how to improve it.
Schema.org for AI Visibility: Beyond Traditional Rich Snippets
Schema.org isn't just for Google rich snippets anymore. Discover how AI models use structured data to understand and cite your brand.
AI Citation Gap Analysis: How to Find Where Competitors Win in AI Search
Your competitors are being cited by AI models where you aren't. Learn how to identify and close these citation gaps systematically.
New articles published weekly. Covering AI visibility, AEO, GEO, AIO, and the future of search.