Contextual AI Presence Mapping (CAPM) is the layer Aethon pioneered: mapping the life moments that create demand, and engineering your brand’s presence in the AI conversations where those moments surface.
The recommendation decision happens before the question. Someone tells an AI assistant “we just got engaged” and the model starts forming financial, logistical, and lifestyle inferences immediately. By the time a product question is asked, the shortlist already exists. CAPM works at that earlier layer.
First, a moment library: the mapped set of life events that trigger purchases in your category, scored by volume and buying intensity. Second, presence measurement: for each moment, who ChatGPT, Gemini, Claude, and Perplexity actually recommend today. Third, presence engineering: the citations, schema, and content that connect your brand to the moments you should own.
Keywords are what people type after intent forms. Moments are what people share while intent is forming. A keyword strategy competes with everyone who noticed the same query volume. A moment strategy competes in whitespace: most moments have no brand systematically engineering them at all.
An Aethon engagement starts with your industry’s moment map and a baseline audit. You see which moments you own, which a competitor owns, and which are open. Then the Action Engine works the list, and attribution reports what each won moment is worth.