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Schema Markup for AI Search: What Actually Helps
Which structured data types influence AI citation, which are wasted effort, and how to implement schema that helps assistants understand and quote your pages.
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Research, guides, and case studies on AI Visibility, Generative Engine Optimization, and the methodology behind Share of Answer.
How to Track Your Brand's Mentions in ChatGPT
A practical method for monitoring whether ChatGPT recommends your brand — what to test, how often, how to avoid biased prompts, and how to read the results.
What Is SIQA? AI Visibility Intelligence, Explained
SIQA is an AI visibility intelligence platform that measures your Share of Answer across AI models, then deploys …
AI Crawlers Explained — What Bots Read Your Site and Why
GPTBot, Claude-Web, Google-Extended, PerplexityBot, Bytespider, and Amazonbot all crawl your site for different reasons. Learn which to block, …
The Complete Guide to llms.txt for Brand Visibility
llms.txt is the robots.txt for the LLM era. Learn the exact format, how to create one in 30 minutes, and why it improves AI …
Why ChatGPT Cites Some Brands and Ignores Others
We analyzed 10,000 AI responses to find what makes brands get cited. Entity presence, original research, schema markup, and passage structure are …
AEO vs SEO vs GEO: What Actually Matters in 2026
SEO, AEO, and GEO sound similar but optimize for different systems. Learn the key differences, which to prioritize, and how to measure …
What is Share of Answer? A Definitive Guide
Share of Answer measures how often your brand appears in AI-generated responses. Learn how SoA works, why it matters, and how to …