GLOSSARY · PERSONAL BRANDING
Proof point
A proof point is a specific, checkable fact that supports a claim about a person, a product or a method. On LinkedIn it might be a named customer result with permission, a number with a source, a credential from a known body, a piece of work the reader can inspect, or a detail only someone who had done the thing would know. Proof points turn an assertion such as "we help teams ship faster" into something a reader can test. In personal branding they are the difference between claiming expertise and showing it, and they are what skeptical B2B buyers scan for.
How it works in practice
Readers of professional content have learned to discount claims. Everyone says they are results-driven, that their clients love them and that their method works. A proof point interrupts that discounting by giving the reader something to verify or at least something specific enough to be falsifiable. There are several kinds. Outcome proof: a named client, a specific before-and-after, a dated figure, published with permission. Process proof: the actual document, template or checklist, so the reader can judge the thinking. Recognition proof: an award, a credential or a publication from a body the reader already trusts. Experience proof: the kind of detail that only comes from having done the work, such as which step usually goes wrong and why.
Social proof: comments and references from people the reader recognises. Two rules keep proof points honest. Every number needs a source you can name if asked, and every customer story needs the customer's consent and a description they would recognise. A proof point you cannot stand behind is worse than none, because being caught once poisons every other claim. Build a running list of proof points as they happen, with dates and permissions noted, so that writing never has to invent them under deadline.
Example
Instead of "our onboarding cuts time to value", a post says: "Acme's ops team went from 31 days to 9 days to first report, measured over their first quarter with us, and their head of ops reviewed this post before it went out."
Common mistake
Rounding a vague memory into a precise statistic. "Roughly a third" becomes "34 percent" with no source, and the first reader who asks where it came from exposes the whole post.