AI engines often recommend, cite, or describe one brand over another. Competitor analysis reveals who is winning the answer space for queries that matter to your business.
A buyer may ask ChatGPT, Perplexity, Gemini, or Copilot for a recommendation, comparison, or shortlist. The answer may mention a competitor instead of your brand, cite a competitor source, or describe a competitor product more clearly than yours.
Most teams cannot see this happening. Traditional SEO tools show keyword rankings, not which competitors are winning AI answers, which sources AI engines trust, or which prompt clusters need new content. Competitor analysis is designed to close that gap.
How often each competitor is named when AI engines answer your priority queries.
How often AI engines cite competitor URLs or sources as supporting evidence.
How visibility around your queries is distributed across your brand and the competitors you track.
Which third-party sources AI engines use for both you and your competitors — and which sources only support competitors.
Queries where a competitor consistently appears when your brand does not.
Where competitor advantage is concentrated by engine, so the team can prioritize where to invest.
Identify queries where your brand used to appear and a competitor now does — or queries where you should be visible but a competitor consistently is instead.
See which sources AI engines trust for competitors that your brand does not yet have — and which third-party references would be worth pursuing.
Use competitor signals to decide which prompt clusters and queries deserve new content, better citations, or stronger authority signals first.
Run an audit to compare your AI visibility against the competitors you actually compete with — and find the source gaps that need to close.