YAS AI Visibility / Insights
Practical visibility systems for AI search.
Research and operating guidance for the technical, content, entity, and evidence decisions behind AI-search visibility.
Independent explanations, tested methods and practical operating guidance.
Read the latest research
How Entity Clarity Affects AI Search Recommendations
Learn how inconsistent brand names, product offers, and structured relationships create uncertainty for AI answer engines, reducing your visibility in search.
Aug 8, 2026 · 9 min read
LLMs.txt: Useful Discovery File or SEO Myth?
An objective, technical analysis of the llms.txt file proposal. Learn its practical role in AI discovery, its limitations, and how to avoid overhyping its impact on search visibility.
Aug 5, 2026 · 9 min read
Why AI Search Can Read Your Website but Still Not Cite It
Discover why AI search engines crawl your content but omit citations, and learn how to optimize your site for visibility in LLM-generated answers.
Aug 5, 2026 · 10 min read
Does Schema Markup Help AI Search? An Evidence-First Answer
Discover how schema markup influences AI search engines like Google Overviews and ChatGPT. Learn the technical role of structured data as machine-readable evidence.
Aug 5, 2026 · 9 min read
How to Audit Robots.txt for Search, Training, and AI Answer Engines
Learn how to audit your robots.txt file to manage AI search engine visibility and content access. Discover how to configure directives for training and retrieval bots.
Aug 5, 2026 · 11 min read
AI Mentions vs Citations: What Each Visibility Signal Actually Means
Understand the critical differences between unlinked brand mentions, cited source URLs, and explicit recommendations in AI search engine responses. Learn how to measure and optimize each visibility signal for your website.
Aug 5, 2026 · 11 min read