The journal.
Shorter than a guide, longer than a tweet. Field notes, tutorials, references, case studies, and opinions on how AI answer engines actually behave.
AEO is not (SEO for AI)
Most of what gets sold as AEO is just SEO with new vocabulary. The two disciplines share infrastructure but answer different questions. Source architecture is the missing asset, not another schema checklist.
Chunking is why clear sections get retrieved more often
Answer engines often retrieve a section of your page, not the whole thing. If your best answer only makes sense after reading three other sections first, you're losing citations to people who write more locally. A reference on chunking and passage retrieval.
Robots.txt is the AEO control plane. llms.txt is only a map.
Most AEO teams have these two files backwards. Robots.txt is the file that actually changes whether AI engines can reach you. Llms.txt is wayfinding. Here's how to configure both without overclaiming.
HubSpot’s AEO launch: from content tactic to revenue system
A measured read of HubSpot's April 2026 AEO launch — what the framing gets right, what the numbers don't prove, and what to test yourself.