What do LinkedIn recommendations actually count for?
They give the visitor a perspective from someone who has actually worked with the person — something self-description can never provide. Buyers know a profile is always one-sided; a recommendation is the outside voice.
For decision-makers checking a profile during a buying process, it is one of the few places with real outside context. Their question is not "is this person likeable?" but "did someone in a similar situation have a good experience?".
Answer that question and the recommendation works — as a building block of reputation, not as decoration.
What does a recommendation that counts as proof contain?
Three things: the context of the collaboration, a concrete observation, and a placement of who and when it would be useful for. Together they need two or three sentences, not a page.
"Great collaboration, would work together again anytime" fulfills none of these — no situation, no observation, no placement. It reads like a formality, which it is.
Against that stands: "In a complex acquisition situation, Bernhard structured the process so clearly that internally, for the first time, we genuinely understood the decision logic." That is proof.
Why are recommendations an E-E-A-T signal?
Because a public LinkedIn profile is a crawlable trust anchor for Google and AI search engines. Recommendations show that real people with verifiable backgrounds have assessed the work.
That is part of the signals models use to judge credibility: experience, expertise, authority, trust. A specific recommendation contributes to each of these.
How that assessment mechanism works is covered in AI on LinkedIn. Recommendations are one building block in it, not a substitute for the rest.
What can recommendations not replace?
Positioning work. A person with unclear positioning will not have a clear profile even with ten recommendations. Recommendations explain what it was like to work with someone — not why one should.
That second question the profile itself has to answer. Recommendations are confirmation, not introduction: they are only read once someone is already there.
Try to compensate for missing substance with recommendations and you find they are read but create no follow-through. The order is first positioning, then confirmation.
How do you get the right recommendations?
Not by asking acquaintances, but through contacts who can describe concrete results. That requires the collaboration to have had describable results — and the contact to know what the recommendation should stand for.
A useful practice: before the conversation, clarify which context and which observation would be useful for the profile, and give the contact that orientation without dictating words. That is not influence over content but an invitation to be specific.
Best to treat recommendations as part of the proof inventory of an executive profile — gathered deliberately for relevant situations. Three strong recommendations weigh more than twelve generic ones.
Frequently asked questions.
How many recommendations do you need?
Few but specific. Three to five recommendations describing concrete situations work better than twelve general ones. It is not a number that has to grow.
Should you return recommendations?
Only if they are honest. A recommendation from real experience is valuable; an automatic swap devalues both. Reciprocity yes, favor-trading no.
Whom should you ask for a recommendation?
Contacts who can describe a concrete collaboration and whose judgment carries weight with your audience. A relevant client outweighs a known name with no connection.
What do you do with old or irrelevant recommendations?
Leave them if they do no harm; hide them if they give a false picture. Recommendations should support your current positioning, not document a former role.
Keep reading in the library.
Builderz System
Visibility has to become trust.
Builderz builds LinkedIn systems for founders and executives who want to become clearer in the market, not louder.