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About

WhereDoIRank.ai — the public leaderboard of what AI recommends.

Every day, buyers ask ChatGPT, Claude, Gemini, and Perplexity what to buy, and the models answer with a shortlist. WhereDoIRank is the public record of those answers: the Billboard charts of AI recommendations, free to read and backed by receipts.

A public record, not a private dashboard.

WhereDoIRank publishes where brands stand when AI models make recommendations. For each category we ask the four models the real questions buyers ask, record which brands they name and in what order, and score each one from 0 to 100. Then we publish it, in the open, for anyone to read.

We are the messenger, not the judge. The rankings are the models’ answers, not our opinion of any brand. Every score links to the exact answer behind it, so you never have to take a number on faith.

Why it exists.

AI assistants are becoming the first place people go to find products. Ranking first on Google no longer settles it, because the model may never name you. A whole category of tools grew up to track this, and almost every one is a private dashboard you have to pay to see.

That leaves the answer to “what does AI recommend?” locked behind logins and invoices. WhereDoIRank is the opposite: one free, public record everyone can read, cite, and check. If your brand is in the AI answer, you should be able to see it without buying a seat, and so should the customer deciding between you and a competitor.

Who runs it.

WhereDoIRank is built and run by Aufa Husen, founder of Cancode, an independent studio building tools for the AI era. It is a small, operator-led project, which is exactly why the method is written down in public and every number carries its receipt: transparency is the substitute for a big name on the masthead.

The full method is on the methodology page, down to the scoring formula and the limits of what it can tell you.

The measurement instrument.

WhereDoIRank and aisearchapi.dev share an operator. aisearchapi.dev is the measurement instrument that captures what the consumer AI apps actually answer, the surface where the browser is the ballot. We say this plainly rather than bury it: a record that names its own instrument is easier to trust than one that hides it.

That relationship is disclosed, not hidden, for the same reason we keep receipts. You can read exactly which lane any number comes from on the methodology page.

Brands can’t buy their way up.

Nobody pays to be on the record, and nobody pays to move up it. The public rankings are free. A paid subscription buys tracking, alerts, and competitor analysis on top of the record, never a better position in it. The measurement and the money are kept strictly apart, and the methodology explains where the line is.

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