About & methodology
Every number gets a label.
The internet is full of "I made $10k with AI" posts that end in a course pitch. We publish real businesses and tell you exactly how much to trust each number.
Payment-processor data (Stripe / RevenueCat) checked by us or a third-party verifier such as TrustMRR.
Open dashboards, filings, acquisitions or company-published figures. Real, but not checked against a processor.
The founder said it (post, newsletter, interview). We cite it, but have not seen receipts.
Our own modelled number, always shown with the method.
Rules we follow
Weakest label wins. A case study's headline number carries the weakest label of the evidence behind it.
Dates on everything. Revenue changes. Every figure shows when we checked it; processor-verified figures (e.g. via TrustMRR) are re-pulled before publishing.
We cite sources. Every page lists the URLs we checked. If we couldn't verify something, we say so, and we don't repeat unconfirmed viral numbers.
For-sale and stale data are flagged. Some listings are businesses on the market, and some verifier data has stopped syncing. We disclose both.
Sponsors never touch labels. Sponsored placements are marked and kept separate from editorial verdicts.
Conflicts disclosed. When a case study involves our own team, we say so at the top.
Who we are
I Made Money With AI is run by a small team of product designers and automation builders who also run AI creative and Shopify automation work for clients. The newsletter is The AI Receipts.
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