How Aethon works
Map the conversations that precede purchase. Measure who AI recommends. Fix what is wrong. Prove the answers moved. Then do it again.
We build your moment inventory from the questions your buyers actually ask, weighted by revenue, using Contextual AI Presence Mapping.
Every moment runs through ChatGPT, Gemini, Claude and Perplexity in several phrasings. We record mentions, framing and the citations behind every answer.
Entity contradictions get corrected first, then answer pages ship for the moments that pay, then citation gaps close in the sources assistants trust.
The same prompts re-run on a schedule. Your report shows the answers changing alongside share of voice against named competitors.
Day one
Before work starts, Aethon baselines the moments in your industry: who the four assistants recommend today, where you appear, and which moments nobody owns yet.
Action Engine
Each action targets a moment you are losing. It carries a priority, the assistants it is aimed at, and the revenue behind it. Approve the work, then publish.
Works alongside
Prompt trackers and AEO tools are useful for keyword-style visibility. Aethon covers the situations that create demand before anyone types a product name. Use both.
FAQ
CAPM is Aethon's method: map the moments that create demand in your category, measure which brands AI recommends in each one, then ship the work that earns you the mention.
Every engagement can begin with a free check or a live demo. We run your top buyer questions across all four assistants and show you the moment map for your category.
Every corrected fact and earned citation keeps voting for your brand across thousands of prompt variations. The same prompts re-run on a schedule so you can see answers change, screenshot by screenshot.
No. Keep prompt monitoring where it helps. Aethon adds the moment layer and the execution loop those tools leave to your team.
Book a 30-minute demo on your category, or start with the free AI Visibility Checker.