Field note
Why most AEO checklists are wrong
The one-size-fits-all AEO checklist is the wrong mental model. What's portable is the method, not the tactics.
Search for "how to rank in AI answers" and you'll find checklists: do these ten things and the assistants will love you. Most of them are wrong, not because the individual tips are bad, but because the format is.
The founding research is blunt about it. The Princeton study that named Generative Engine Optimization tested content changes across thousands of queries and found they could lift visibility by up to 40%, but the effect varied by domain (Aggarwal et al., 2023). The same move that wins in one field barely registers in another. A checklist copied from another industry is cargo-cult: the motions, without the conditions that made them work.
Two more reasons a generic list can't hold, both covered elsewhere in these notes: assistants give different answers to the same question over time, and each category has its own sources they trust. A checklist assumes a stable, universal target. There isn't one.
What is portable isn't a list of tactics. It's a method: see what the assistants actually say about you, find what's driving it, change those inputs, and re-measure in your own category. The tactics live downstream of that, and they're yours to discover, not to copy.
So when you meet a one-size-fits-all AEO checklist, treat it as a menu of hypotheses to test, not a recipe. The recipe is the part nobody can sell you.
See the overview for the method, or the glossary for the terms.
New here? Start with the overview → · By Denes Csaszar · written in the open