What rank tracking means when there are no ranks
Claude does not maintain a results page, so a Claude rank tracker cannot show you position seven. What it can show: how often Claude names your brand across natural phrasings of your buyers' questions, whether you lead the recommendation or trail it, how the answer frames you, and which sources sit behind the answers. Tracked monthly on a fixed prompt set, those behave exactly like rankings used to: a score you can move and defend.
Free Claude rank tracking, the working method
The free version costs an afternoon a month. Write your top twenty buyer questions in several natural phrasings each, run them through Claude, and log mention, position, framing and any cited sources in a spreadsheet. Re-run monthly with the same prompts. Two free accelerators: the Aethon GEO Grader scores whether your site has the properties Claude rewards, and the free Aethon audit performs a full measured run for you, Claude included, with screenshots.
Paid tools, and how to judge them
Paid Claude rank tracking software automates the runs, the logging and the trends. Judge any option on four checks: does it use natural buyer phrasings rather than keywords, does it track Claude alongside ChatGPT, Gemini and Perplexity, since they disagree constantly, does it show the citations behind each answer, and does it output next actions rather than only charts. Aethon covers all four and adds the execution layer that changes the answers, which is the part a tracker alone never touches.
Tracking brand mentions in Claude
Beyond your own questions, watch how Claude describes your brand unprompted: ask it directly what it knows about your company, and ask category questions where you should appear. Wrong facts in those answers trace to fixable sources, stale pages, thin review profiles, outdated directories. Cross-model tracking matters here too: run the same prompts through ChatGPT and Claude side by side, because winning one and losing the other is common, invisible without measurement, and usually caused by the two models trusting different sources.