Online Claude rank tracking, run for you every week. SimplyRank replays your prompt set against Claude Sonnet 5 through the Anthropic API and records whether Claude names your brand, where you land inside the answer, which competitors sit beside you, which domains Claude referenced and how the tone reads. Nothing to install.
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Best AI visibility tracker for B2B SaaS teams
Each answer is stored whole, with your position in it, the competitors named beside you, the domains Claude referenced and a sentiment score for the sentence that names you.
These pages are for buyers who need a working tracker, not another how-to article. The service template keeps the product workflow, metrics, and trial path in the foreground.
Claude answers a category question with a short, caveated shortlist rather than a long ranked list, so the gap between being named and being left out is the whole result. Every scan records inclusion for your brand and for each competitor you track, on the same prompts each week.
Presence is not placement. SimplyRank stores the position your brand holds in each Claude answer and the brands named ahead of it, so "mentioned" and "mentioned last, with a caveat" stop looking identical in your reporting.
Our Claude scans run without a browsing step, so the sources Claude names are the ones the model treats as reference-worthy for that question. SimplyRank parses every URL out of the answer text and stores the domain, its order in the answer, and whether it belongs to you or to a competitor.
In the answers our scans store, Claude hedges heavily: "solid, but better suited to smaller teams" is a different outcome from a clean recommendation. Each scan scores the tone of the sentence naming your brand and lists the competitors named alongside it.
The tracker page explains what SimplyRank does: run stable prompt sets, pin model context, and turn each scan into a report marketers can act on.
Name the brand you want tracked and the competitors that should be measured inside the same Claude answer, then load the commercial questions your buyers ask. The trial covers 10 prompts; paid plans run 25 to 300 prompts depending on tier.
SimplyRank sends each prompt to Claude Sonnet 5 with the model version pinned per scan and stamped on every answer it stores, so an Anthropic-side model change reads as a model change rather than as a visibility drop.
Use the cited domains, the competitor overlap and the tone score to pick the next move: a comparison page Claude can quote, a buyer-fit page for the segment it keeps handing to somebody else, or a third-party source worth earning.
The service template replaces article rails with product outcomes: monitored prompts, competitor context, citation evidence, and the next actions to take.
The full answer text is kept, not just a match count — so you can reread the sentence that named you months later. Alongside it: your position in the answer, every brand detected in the same response, each referenced URL with its domain and order, and a sentiment score for your brand and for each competitor found.
When Claude recommends somebody else, the report shows which domains supported that answer and whether yours appeared in the evidence at all. That points at a specific gap — a missing comparison page, a category definition nobody else can quote, a publication you have never been named in — rather than at a general instinct to publish more.
This page is the monitoring side: fixed prompts, a pinned model, a weekly history. If what you want is the method — what to publish, which sources to earn, how to structure a page Claude can quote back — that lives in the how-to playbook, and the two are designed to be used together.
Short answers for teams comparing AI rank tracker tools and deciding whether this is the right service page, not a tactical how-to guide.
See plansTracker pages convert demand. Guides and comparisons explain how to improve the numbers after each report.
The how-to playbook: what to publish, which sources to earn, how to structure a page Claude can quote.
Where the two assistants agree on your category, and where the recommendation logic parts company.
What the domains in your citation column mean, and how to read them week to week.
The cross-model dashboard this Claude panel sits inside — read the two together.
The companion panel, for checking whether a Claude weakness is model-specific or universal.
Add your domain, pick the questions your buyers ask, and see how Claude answers them today. If the answer is uncomfortable, the citation column will tell you why before you spend a penny on content.
Karim Nassar
Founder & Head of Research, SimplyRank
Reviewed by SimplyRank Research
A Claude rank tracker answers one question on a schedule: when a buyer asks Claude for the best option in your category, does Claude name you, and what does it say about you? The rest of this page is how that measurement works, how to do a version of it by hand today, and what it honestly cannot tell you.
Most AI visibility tooling treats the assistants as one surface with four skins. They are not, and Claude is the clearest example of why. In the answers our weekly scans store, Claude answers a category question with a short, hedged shortlist and then splits it by buyer type: one option for a small team, another for an organisation with a compliance function, another if you already run a particular stack. That shape has a direct consequence for how you read your own numbers. Being named is not a single outcome. Being named as the answer for a segment you actually sell to is worth more than a passing mention at the end of a longer list, and a tracker that only counts mentions cannot tell those two apart.
Claude is also sparing with sources. When it does name a domain, it tends to name one it could defend: documentation, an independent write-up, a comparison that states trade-offs rather than a page that only sells. That is why a thin citation column on Claude is usually a coverage problem rather than a copy problem — the evidence you would want it to reach for does not exist yet, or does not mention you. The Claude citation sources page goes through how to read that column domain by domain.
“Claude does not cite the loudest brand. It cites the one whose explanation it can defend if someone pushes back.”
The commercial argument is narrower than the usual “AI is the new search” pitch, and more defensible. Claude is a working tool inside a lot of engineering, product and legal teams — the people who write the shortlist, not just the people who sign the contract. If your buyer already has Claude open to draft a requirements document, the vendor question gets asked in the same window, without ads, without a results page, and usually without a second opinion. There is no click for you to buy back afterwards. Whatever Claude says is the shortlist, and the shortlist is where the deal starts.
Observed in our weekly Claude scans
These are qualitative patterns from reading our own scan output, not measured weightings. Anthropic does not publish a ranking algorithm, and anyone quoting one to you in percentages has invented it.
Each prompt goes to Claude Sonnet 5 (model id claude-sonnet-5) through the Anthropic API, under a deliberately neutral system prompt: answer the question, name brands only where they genuinely fit, include sources where they help. Your prompt text is never rewritten, because the whole point is to measure the answer to the question as a buyer would ask it.
Three choices in that setup are worth knowing about, because they define what the number means:
Out of each answer we keep the full response text, every brand detected in it, your brand’s position within the answer, each referenced URL with its domain and order, a flag for whether that domain is yours or a competitor’s, and a sentiment score for the sentence naming your brand. Keeping the whole answer matters more than it sounds: months later, “we dropped” is an argument, and the paragraph Claude actually wrote is evidence.
You do not need a subscription to find out whether you have a Claude problem. You need a spreadsheet and about an hour. Run this once and you will know whether automating it is worth anything to you.
This is also why one-off checks mislead so badly. A screenshot of Claude naming a competitor is a single sample from a model that samples its output; so is the screenshot where it names you. Neither is evidence on its own, and both get forwarded to executives as though they were. A fixed set, repeated, is the cheapest way to stop arguing from anecdotes. If the answers you collect turn out to be genuinely bad, the fix is editorial rather than technical — the how-to playbook for ranking in Claude covers what to publish and which sources to earn, in order.
Any tool in this category that does not publish this list is hoping you will not ask.
Tracking Claude on its own is useful; tracking it beside the others is what makes the number actionable. The same prompt set fans out to four assistants on every SimplyRank scan, and each one gets its own panel in the cross-model dashboard. The comparison is the diagnosis. Strong in ChatGPT and absent in Claude usually means your claims exist but nobody credible has repeated them. Weak in both means the positioning itself is not legible yet, and no amount of link building fixes that. If you want the head-to-head in detail, Claude vs ChatGPT for brand citations works through how the two weigh the same evidence.
One prompt set, four assistants, a panel per model — and the full answers kept so you can show your working.