What counts as an AEO tool
Anything that helps your brand get named inside generated answers: monitoring platforms that sample assistant responses, content analyzers that score quotability and structure, schema generators, citation trackers that map which sources carry answers, and llms.txt generators that guide AI crawlers. Most vendors do one of these well; the work needs all of them in sequence.
The monitoring layer
This is the foundation: sampling your buyer questions across ChatGPT, Gemini, Claude, and Perplexity and scoring who gets named. Without it every other AEO effort is guesswork, because you cannot improve an answer you have never seen. Look for repeated sampling, four-assistant coverage, and citation capture.
The content and structure layer
AEO content tools check whether pages answer questions directly enough to quote: heading structure, answer-first paragraphs, FAQ and Article schema. Useful, but remember the direction of causality: structure decides ties, substance decides winners. A perfectly marked-up page saying nothing quotable wins nothing.
The citation layer
Answers are assembled from sources, so the highest-leverage AEO tooling maps which review sites, listicles, and directories carry your category and whether you appear in them. This is where most stacks go quiet, and it is where Aethon concentrates, because changing the sources is what changes the answer.
The gap between tooling and outcomes
No AEO tool publishes the missing comparison page, corrects the stale directory entry, or earns the listicle placement. Someone ships that work or the metrics never move. Aethon pairs the full tool stack with that execution, measured by before-and-after answers. Free pieces of our stack are open to anyone: the llms.txt generator, the GEO checklist, and the visibility audit.
