Claude brand tracking: see how Anthropic's Claude mentions your brand

Claude brand tracking measures what Anthropic’s Claude says about your company when asked for recommendations, comparisons and descriptions. GeoGen queries Claude Sonnet 4.6 and Claude Opus 4.8 through the API every day and records mentions, position, sentiment and competitors.

How does Claude decide what to say about a brand?

Two sources feed an answer: what the model learned in training, and, when search is enabled in the product, what it finds on the web. Anthropic’s support pages describe web search as best for straightforward factual queries and a separate Research feature for multi-source, attributed work. They do not say how Claude chooses when to search or how it ranks sources, so we do not claim to know.

What can be measured is the outcome. Ask the same prompts of the same models every day and the pattern of who gets named becomes clear.

Why tracking the API is still informative

Because GeoGen calls the models directly, the answers show the model’s own view of your brand with no search results to lean on. That is the baseline that shapes answers inside the many assistants, coding tools and enterprise workflows built on Claude. If the model does not know you, or files you under the wrong category, no amount of tweaking a landing page will fix that quickly. Wider, consistent coverage will.

What can a brand influence?

• Clear self-description. Plain, factual statements of what you do, for whom and at what price, repeated consistently across your site and profiles.
• Third-party corroboration. Independent reviews, documentation and press that describe you the same way.
• Crawlable pages for when search is in play.
• Freshness signals such as dated changelogs, since a training cut-off means newer products can be missing.

What GeoGen measures for Claude

Visibility, mentions, average position, sentiment and competitors, per prompt, language and country, separately for Sonnet and Opus. Premium models cost more credits (9 for Sonnet, 15 for Opus per run), so GeoGen suggests keeping the Claude prompt set focused on your highest-value questions.

Which prompts to use

Category recommendations, head-to-head comparisons, “what is [brand]” descriptions and a few buyer-constraint prompts (budget, team size, region). Add developer-flavoured prompts if your audience builds with AI tools.

How to read Sonnet and Opus results

Run both models on the same prompts and compare. If both name you, your representation is consistent. If only Opus does, the larger model knows more about you than the model most products use by default, and the gap suggests thin coverage. If neither does, your first goal is to be present at all: a clear description on your own site, in documentation and in third-party sources.

Look at sentiment qualifiers as well as mentions. Claude often adds caveats (“verify current pricing”, “best for small teams”). Those hedges reveal what the model thinks your boundaries are, and they are easy to compare week over week. If Claude consistently places you in the wrong segment, that is a content fix: say plainly who you serve.

Because each run costs 9 or 15 credits, avoid padding the prompt list. Ten well-chosen prompts per market, run daily, usually tell you more than fifty marginal ones.

Next steps

Read how ChatGPT and Gemini differ, set up the GeoGen MCP server to query your data from Claude, or review pricing and the full monitoring overview.