Claude monitoring

What does Claude say about your brand?

Anthropic's Claude is used by millions for research, analysis, and purchasing decisions. Its answers carry weight — and they might not mention you.

Claude is the researcher's AI

Claude is known for thoughtful, nuanced responses. Professionals use it for market research, product comparisons, and due diligence. When a potential customer asks Claude to compare solutions in your space, the answer shapes their shortlist.

Claude runs are web-grounded: we enable Anthropic's search tool on Claude 4 and later, so Claude can look things up before answering, and we capture the sources it cites. Claude 3 and earlier predate that tool, so those runs still answer from trained knowledge and are labelled accordingly.

Claude is unusual in one respect that turns out to be useful. Its search is model-invoked: rather than searching every time, Claude decides whether it needs to look something up. So a Claude run tells you two things at once — whether you were named, and whether Claude felt it had to go and check. An answer given from memory means your brand is genuinely embedded in what the model learned. That is a different, and more durable, kind of visibility than being retrievable.

The only way to know is to test it systematically — the same prompts your customers ask, run regularly, with results tracked over time.

Why Claude monitoring matters

Different model, different answers

Claude and ChatGPT often disagree. Your brand might lead on one and be absent from the other. Multi-model monitoring reveals the full picture.

Growing enterprise adoption

Claude is increasingly adopted by enterprises and professionals. If B2B buyers use Claude for vendor research, you need to know what it tells them.

Detailed, structured responses

Claude tends to give longer, more structured comparisons, which usually means more named entities per response — useful for mapping who it treats as your peer set. Check whether the run cited sources: a peer set assembled from memory tells you about reputation, one assembled from search tells you about today's market.

Rapid model updates

Anthropic ships new Claude versions frequently. Each update can shift recommendations. Continuous monitoring catches these changes early.

Reading a Claude result correctly

Because Claude chooses whether to search, every run carries an extra signal the other models don't give you. Cross-referencing it against a always-searching model like Perplexity is where the insight is.

What you see What it probably means What to do
Named, no sources cited The strongest result available. Claude knew you without needing to look, so your brand is genuinely embedded in what it learned. Protect it. Watch rank rather than presence, and re-check after each Claude release.
Named, but only after searching You're findable rather than memorable. Your current web footprint is doing the work. Keep the pages that earned the citation fresh, and build third-party mentions for the long game.
Missed, but competitors were cited from search A live retrieval gap. Specific pages are winning the query and they aren't yours. Go after those exact pages — get named on them, or publish something that answers the query better.
Missed, no search performed Claude was confident answering without you in the picture. The hardest gap to close. Treat as a long-term reputation problem: reviews, roundups, directories, press.

Every run records its cited sources, so you can always tell which of these four cells a result belongs in.

How Cited Monitor tracks Claude

1

You write the prompts your customers actually ask. "Best project management tool for agencies", "Who are the leading UK conveyancing firms" — whatever precedes a shortlist in your market.

2

We send them to Claude using your Anthropic API key, with search enabled. You supply the key, you pick the model, you pay Anthropic directly at their published rates. The key is stored encrypted and isolated per team — it never sits in our provider account. Searches are capped per run so a single prompt can't run up a bill.

3

We extract every brand, product and organisation named. You get mention presence, rank within the answer, sentiment, and the full competitor set Claude considers to be your peers.

4

Runs repeat on a schedule, so you see drift. Anthropic ships new Claude versions often, and each one is retrained. A drop in Claude visibility after a model release is a signal you want within days, not at the next quarterly review.

Don't stop at Claude

The same prompts, 13+ models across 6 providers. See where your brand stands across the entire AI landscape.

ChatGPT Claude Gemini Llama Mistral Perplexity

Find out what Claude says about you

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Common questions

Straight answers, including where our Claude coverage has limits.

Does Claude search the web when Cited Monitor runs a prompt?

Not on this path. Cited Monitor's Claude runs use the model's trained knowledge, and every one is labelled 'Training data' in the interface. Anthropic's API does offer a server-side web search tool on Claude 4 and later, so this is a limitation of our current integration rather than of Claude itself. Our OpenAI, Google, Mistral and Perplexity runs are web-grounded.

If Claude is not grounded, is the data still useful?

Yes, and it measures something the grounded models cannot. A grounded model can find you from one well-optimised page published last week. An ungrounded model can only name you if your brand was genuinely prominent in the material it was trained on. Claude therefore tells you about durable brand memory; ChatGPT and Perplexity tell you about current retrievability. Most brands are much stronger on one than the other, and knowing which changes what you should fix.

Why does Claude recommend different companies from ChatGPT?

Three reasons compound. The training corpora differ, so each model learned a different picture of your market. The grounding differs, so one is answering from memory and the other from a live search. And the response styles differ, so the same underlying belief produces a different shortlist length and order. Disagreement between models is normal and is usually the most actionable thing in a report.

How do I get Claude to mention my brand?

You cannot edit a model's training data, so the lever is the material it learns from: independent, third-party sources that describe your brand in your category. Review sites, industry roundups, comparison articles, directories, documentation and press coverage all carry far more weight than your own marketing pages. This is slow work measured in months, which is exactly why tracking it matters.

Which Claude models does Cited Monitor run?

Claude Sonnet 4 and Claude Haiku 4.5 by default, and you choose which to run per prompt. Haiku is roughly a quarter of the cost and is usually enough for presence and rank tracking; Sonnet gives longer, more structured comparisons and tends to name more competitors per answer.

Do I need my own Anthropic API key?

To run Claude on an ongoing basis, yes, and that is deliberate: you pay Anthropic directly at their published rates with no markup from us, and your prompts stay inside your own provider account. You do not need a key to start. The free audit runs on our managed key, and new accounts get seeded starter runs so you see a populated report before connecting anything.

Does Claude recommend your brand?

Run a free audit and see what Claude says when buyers ask for a recommendation.

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