AI Competitor Analysis

AI competitor analysis is the practice of tracking how your competitors show up inside AI generated answers across ChatGPT, Claude, Gemini, and Perplexity, including their visibility, share of voice, sentiment, and the sources LLMs cite about them. It is different from using AI to research competitors, since the unit of analysis here is the AI answer itself, not a brand's website or marketing. As buyers move research into LLMs, this becomes the version of competitor analysis that matters.

Using AI to research competitors means prompting ChatGPT or Claude to summarize a competitor's positioning, pricing, or messaging from public data. AI competitor analysis in CrowdReply tracks the inverse: which competitors AI models surface when buyers ask category questions, and how often. The first is a research workflow, the second is a measurement system, and most categories now need both.

Every AI response across your tracked prompts is parsed for brand mentions, and brands that recur in your category surface automatically as Unclassified competitors in the leaderboard. You then mark each one Direct, Indirect, or Ignored in one click, and the classification flows into every downstream view. New competitors get flagged as they enter your category, so the list stays current without manual maintenance.

Yes. The leaderboard ranks every tracked competitor in one view, the Compare surface stacks up to four brands side by side on every metric, and the trend chart overlays all of them on a single timeline. There is no hard cap on how many competitors you track, only on how many you compare in a single Compare view at once.

Each competitor gets visibility, share of voice, sentiment score, average position, prompts mentioned, 7 day trend, top citing sources, and a per LLM split across ChatGPT, Claude, Gemini, Perplexity, and Grok. Every metric refreshes daily and trends back to the day the competitor was first detected, so a freshly classified competitor backfills history automatically rather than starting from zero.

Every tracked prompt runs daily across every supported model, and competitor metrics recalculate on the same cadence as soon as new responses land. Leaderboards, comparisons, trend charts, and gap prompt lists all reflect the latest available data, with weekly and monthly trended cuts available on top of the daily refresh.

Yes. Any leaderboard or compare configuration saves as a personal or workspace view that loads in one click, and the Share Report flow turns the same view into an external snapshot with whitelabel branding, optional password protection, and configurable expiry. Reports stay live against current data or lock to a point in time depending on which option you pick.

Each gap prompt is a query where a competitor appears in AI answers and your brand does not, ranked by prompt importance and competitor visibility. From there, the gap flows into a concrete play through the Engagement Engine, whether that is editorial outreach to the sources citing the competitor, a Backlinks Marketplace placement targeting the prompt, or a Reddit and community surface activation on the threads LLMs pull from.