Blog
Thoughts and experiments on AI search, SEO, AEO and LLM citation patterns.
I Tried to Make GT3 Easier to Understand Then Google Started Finding Apex Insights
I built Apex Insights as a GT3 knowledge base, not another motorsport blog. A few weeks in, a brand-new site with no backlinks started showing up across teams, championships, and races.
SEO Automation That Doesn't Hallucinate: How to Build a Recommendation System You Can Trust
Most SEO automation generates plausible recommendations, not grounded ones. The architecture I use to tell them apart and why the language model gets exactly one job.
Six Months of AEO Experiments: What Actually Gets You Cited
Six months of hands-on AEO testing at Flozi. What works, what doesn't, and why most advice skips the one variable that determines everything: whether you can win the gap at all.
AEO Tracking Tells You If You're Winning, Not How to Win
Most AEO tracking tools are optimizing against unknown demand. Here's why I use GSC and Bing as the decision layer, and AEO tracking only to verify.
The AEO/SEO Optimization Categories I Actually Check Before I Trust an AI Recommendation
Nine categories cover almost every AEO/SEO fix. Here's why I still run every AI-generated recommendation through them by hand — including a story about 150 internal-link suggestions, only 20 of which held up.
GEO / AEO Strategy Shift: Why Renaming SEO Metrics Won't Work
Prompt volume is a weak signal. AI visibility is a vanity metric. Attribution is broken. Here's what actually matters in Generative Engine Optimization.
Text Embeddings for AEO and SEO: A Practitioner's Guide
How embeddings power AI answer engines, where they fail, and how to run a two-stage content audit, embedding retrieval plus LLM verification for AEO.
Why AI Won't Cite Your Content (And What to Fix)
Your page can rank and still never appear in AI answers. Here's why AI retrieves but doesn't cite and what actually fixes it.