Track your brand
in Claude.

Usually not. Most Claude answers come from training data and state judgments without citations. When Claude uses web search, citations do appear, but you can't rely on them being there. That's why Claude tracking is output-based: you measure what it says, daily, rather than auditing a source list it doesn't show.

Trakkr runs your buyer-intent prompts against Claude every day, then extracts every brand mentioned, its position in the answer, the sentiment and exact descriptive language, and any cited sources. Stored as time series, that turns Claude's otherwise opaque opinions into a trend you can watch and act on.

Claude's recommendations reflect authority signals in its training data: documentation quality, third-party reviews, comparison content, community discussion, and how consistently your brand is described across the web. There's no citation list to reverse-engineer, which is why measuring the answers over time is the practical way to see if your standing is improving.

Not directly with Anthropic, but the inputs are fixable. Claude's claims trace back to what the public web says about you: outdated pricing pages, stale reviews, old documentation. Correcting those sources, and publishing clear canonical facts on your own domain, shifts what future model versions and search-mode answers say. Tracking tells you when the fix lands.

Both mix memory answers with occasional web search, but Claude cites less, hedges more precisely, and skews toward professional and enterprise users. In practice, ChatGPT tracking is mention-and-citation focused; Claude tracking leans harder on sentiment and description language, because the wording is where Claude encodes its real opinion.

Yes, mostly in steps. Day to day, Claude is stable. When Anthropic releases a new model version, brand recommendations can reshuffle across a whole category at once. Continuous tracking means a model release becomes a report you read the next morning rather than a surprise you discover months later.