What a visibility tracker measures
Four core metrics: mention rate (how often you appear across a question set), share of voice (your mentions versus competitors’), sentiment and framing (how you are described), and citation sources (which pages and directories assistants lean on). Together they tell you not just whether you show up, but why.
Why point-in-time checks mislead
AI answers are probabilistic. The same question can produce different answers in different sessions. A single check that happens to include you proves little. Trackers run repeated samples so you see the rate at which you appear, which is the number that actually predicts pipeline.
Tracking whole conversations, not single prompts
Buyers rarely ask one question. They describe a situation, ask follow-ups, then ask who to hire. A tracker built on single prompts misses where recommendations actually form. Aethon maps visibility across these full moments, an approach we call Contextual AI Presence Mapping©.
The trend lines that matter
Watch three: your mention rate over time (is the work paying off), competitor deltas (who is gaining), and answer stability (did a model update rewrite your category). A sudden drop after a model release is an early warning most brands never receive.
From tracking to changing the answer
The tracker tells you Gemini stopped mentioning you in March. It does not tell Gemini to start again. That takes execution: authoritative pages, corrected citations, structured data, third-party presence. Aethon pairs the tracker with a team that ships those fixes, which is the difference between watching the score and playing the game.
