What an AI visibility audit measures, and how it differs from SEO.
How AI visibility platforms audit, diagnose, and fix how AI systems describe your brand.
A workflow for creating content that AI chat tools actually cite.
Where to find reliable AI visibility research: G2, Ahrefs, Semrush, and more.
Why measuring vectors and semantics beats simple mention tracking.
Comparing Turbine and Peec AI for AI visibility tracking and semantic analysis.
Why Turbine engineers AI visibility instead of just tracking mentions.
A practical comparison of AI visibility tools agencies can use in 2026.
Which money transfer and neobanking brands lead ChatGPT and Gemini answers.
Turbine's talk on AI visibility as a data science problem, slides included.
Which spend management brands lead ChatGPT and Gemini answers in the US and UK.
An empirical study comparing OpenAI, Gemini, and SBERT embeddings for GEO.
How Turbine's Semantic Validator scores your content before you publish.
A guide to understanding how LLMs choose sources and what your report means.
A step-by-step guide to build AI visibility when your brand starts at zero.
Turn SEO keywords into prompts and build your AI visibility tracking set.
A step-by-step workflow to track, understand, and improve AI visibility.
ChatGPT, Gemini, and Perplexity share only 21% semantic overlap on brands.
Only 4.57% of sources overlap across ChatGPT, Gemini, and Perplexity.
ChatGPT lists about 8 brands per answer, Gemini and Perplexity about 5.
A step-by-step guide to test robots.txt, server logs, and crawler access.
How semantic search changes visibility, and why SEO alone isn't enough.
Every month we collect everything we've learned about how LLMs pick brands and share it with you.
