Why RewardsGuru exists, how data accuracy is maintained, and how to send feedback. Free credit card comparison built around fact-checked data.
Choosing a credit card should not take three hours, twelve open tabs, and a guess about whether anything you read is still true. RewardsGuru exists so you can walk in, find the answer, and get on with your day — whether you check once a year before a trip or every week for a new offer.
Every welcome bonus, annual fee, and rewards rate is checked against the issuer's own product page on a regular cycle. When a number changes, the database is updated within days, and every article citing the old value is updated too.
A publish gate blocks any article whose figures do not match the database, so a stale number cannot quietly survive in old writing after the card has moved on.
Scanning every card, cross-checking issuer pages, and flagging things that look wrong is work that machines are good at, and that is where we use them. What gets published, how it is framed, and what gets recommended stays a human decision.
How we use artificial intelligence, and what we do not let it decide, is written out in full on the AI disclosure page.
A wrong number, a stale article, or a missing card is a bug to be fixed, not an inconvenience to be lived with. Every article carries a feedback widget with a correction form, and reader corrections go into a queue that is worked through every week.
For anything larger — a card we should add, or a tool you wish existed — the feedback page goes to the same inbox.
Affiliate commissions from some partners. That is disclosed in full on the affiliate disclosure page, and it never affects rankings — the ranking inputs do not include commission data at all.
Card figures are re-verified against issuer pages on a regular cycle, and each card page shows the date of its last check so you can judge for yourself.
Use the feedback form, or the correction widget at the bottom of any article. Corrections are worked through weekly.