What is source verification in AI research?
Quick answer
Source verification is the habit of opening each source an AI tool cites and finding the exact claim or number on that page yourself. A citation only tells you where to look; verifying it tells you the claim is really there, current, and means what the AI says it means.
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Updated · By Robert Breen
Why it matters for a small business
AI research tools can cite a real page for a number that is not on it, mix up two reports, or use an old figure. Market sizes are a common trap: different analysts measure different things, so their numbers disagree.
Checking two or three sources takes a few minutes and catches most of these problems before a wrong number reaches a lender, a partner or your price list.
In a real lesson: Size Up Your Market and 5 Competitors Before You Spend a Dollar using Runable
Runable's brief for Harbor & Pine (made up) cited three analysts for the 2025 US scented-candle market: $1.42 billion, $1.585 billion and $2.4 billion. The lesson has you open a source, then ask "Which numbers in this brief are estimates?". Runable separated the analysts' estimates from the five prices it had checked on live pages that day.

Try this lesson free or read the step-by-step guide.
Common confusions
Source verification vs a citation
A citation is the link the AI gives. Verification is you opening it and finding the claim there.
Tips
- Open the link and search the page for the exact number.
- Note the date on the source, not just the date you read it.
- Keep a sheet: claim, source, verified yes or no.
Related terms
More AI basics terms
Where you use it: free lessons
Frequently asked questions
- If the AI gives a citation, do I still need to check it?
- Yes. The citation shows where to look. Verifying means finding the claim on that page yourself.
- How many sources should I check?
- At least the two or three numbers your decision depends on, such as the market size and the competitor prices.