Premise: The SEO, AEO, GEO, AI Search industry as a whole frequently discusses the components of AI Search and LLM Visibility tracking, but audiences consuming these articles and posts may struggle to effectively integrate the components into a rigorous measurement… Read More »The Essential Questions to Ask When Optimizing for LLM Visibility Tracking
A practical guide to what fan-out actually does inside a RAG pipeline, the misconceptions leading SEOs astray, and how to build strategy that works with the process instead of against it. This post covers how query fan-out actually functions within… Read More »How Content Creators Should Think About Leveraging Query Fan Out
AI search is conversational. Your starting query is the entry point — the follow-up prompts are where brand visibility is won or lost in the AI funnel. This framework uses Google Search Console data to identify the most likely entry-point queries… Read More »Improving your AI Visibility Tool Prompts
In 2026, simply showing up in an AI response isn’t the win it used to be. While most marketing teams are now tracking some version of an “AI visibility score” (whether their brand appears in a primary response and how… Read More »AI Prompt Tracking Isn’t Telling You Everything You Need to Know
Google STATIC (Sparse Transition Matrix-Accelerated Trie Index) is a framework that enables 948x faster constrained decoding for LLM-based search and recommendations. By replacing slow prefix trees with vectorized sparse matrices, Google has removed the latency bottleneck for generative retrieval. This… Read More »How Google STATIC Will Change Search
If you want to take advantage of one of Screaming Frog’s latest and most helpful features, or if you are just trying to get your content to rank better in search, this post is here to help. Using AI to… Read More »How to Improve rankings Using Internal Linking and Topical Relevance with Screaming Frog
