AI SEO/GEO/AEO
Writing and structuring content for search engines that increasingly answer instead of linking.
This is the newest and thinnest section on the site, and I would rather say so than dress it up. It covers how content gets found now that a growing share of searches end in a generated answer rather than a click, and what that changes about how you write and structure a page.
What is here so far comes from running this site: the writing tools I use and what they are actually good for, and how an SEO workflow changes when the thing reading your page is a model rather than a crawler ranking ten blue links. Both pieces are grounded in work I have done on StackNova itself, which is a small sample but a real one.
I am deliberately not publishing tactics I have not tested. There is a large amount of confident writing about generative engine optimisation right now that is essentially guesswork about systems nobody outside the model providers can observe directly, and adding to it would not help anyone. This section will grow as I have results worth reporting.
All articles in AI SEO/GEO/AEO(3)
llms.txt in Practice: Does It Do Anything Yet? (Tested)
97% of llms.txt files got zero requests in May 2026. I checked my own server logs and tested whether coding agents fetch it. Here's what the evidence actually shows.
Free AI Writing Tools in 2026: I Tested 12 — Only 5 Are Actually Usable (No Paywall Tricks)
I tested 12 free AI writing tools in 2026. Only 5 are actually usable for real work without paywall tricks. See the winners for prose, volume, and backup use.
AI Productivity Workflows for SEO Teams in 2026: Optimizing for Google, AEO & GEO Together
Practical AI productivity workflows for SEO teams: win on Google, Answer Engines, and Generative Search with real prompts, tool stacks, and rhythms for 2026.