Monitoring competitor performance inside AI answers

In short

Monitoring competitors in AI answers means running a fixed prompt set on a schedule and logging who is cited in each answer and from which source. Three outputs follow: a competitor ranking by share of voice, the full text of the prompts each competitor won and you missed, and the source gap — the sites the model cited in those prompts. The third output is your direct action plan.

Head to head: you versus one competitor

A general comparison is useful but insufficient for action. So we provide a direct head-to-head with any competitor you pick: how many prompts you won alone, how many they won alone, how many named you both, and how many named neither — the last being the most important category because it is an open opportunity with no entrenched competitor. Each category shows the prompt text so it converts straight into content tasks.

• Prompts you won alone — defend them
• Prompts they won alone — start here
• Prompts naming you both — improve your position inside the answer
• Prompts naming neither — the biggest open opportunity

Why your competitor is chosen: diagnosis, not blame

Every appearance has a specific, observable cause: they have a page answering exactly that question, they are listed in a directory or comparison the model cites, or their name is tied to the term across many sources. Identifying the cause determines the remedy: the first is fixed with a page, the second with off-site presence, the third with long-term entity work. Confusing the three is why most catch-up attempts fail.

Alerts and the monitoring cycle

We re-run the set monthly and compare against the previous round: who rose, who fell, and which prompts changed their answer. A sudden shift on an important prompt usually means a competitor published new content or landed a new placement, and reacting quickly is far easier than displacing them months later.