LinkedIn Recommendation Generator

Turn three honest answers into a recommendation with actual testimony in it: specific, warm, and free of the openers everyone skips.

Draft 2 recommendationsSends only what you type below, returns a draft, stores nothing.
Fill the required fields to run.
Example opening, fictional inputs

Instead of "I highly recommend Priya", a draft might open: "When our main vendor collapsed six weeks before peak season, Priya re-planned the entire quarter in five days, and the quarter still landed." The endorsement follows the evidence, which is the right order.

How it works

  1. Answer three questions

    How you worked together, their real strengths, one specific example you witnessed.

  2. Compare two drafts

    Different constructions, both leading with substance, both in your chosen tone.

  3. Make it yours and post

    Adjust one or two phrases to your voice, then paste it into LinkedIn’s recommendation flow.

What this tool does and does not do

It does

  • Drafts 2 recommendations built around your specific real example
  • Leads with substance, never the "I highly recommend" opener
  • Sticks to your facts: no invented projects, metrics or titles
  • Sends only this form, once; stores nothing about either of you

It does not

  • Write convincing praise from empty inputs; the example field is required
  • Inflate: superlatives get earned by your example or cut
  • Post to LinkedIn; you deliver the recommendation yourself
  • Store what you shared about your colleague

What makes a LinkedIn recommendation actually valuable?

Verifiable texture. Recruiters and clients skim recommendations for signals that a real collaboration happened: named situations, pressure handled, the thing this person does that colleagues rely on. One paragraph containing those beats five containing "consummate professional". The generator is built backward from that reader: your example becomes the spine, the praise becomes its conclusion.

How do I ask someone to recommend ME?

Make it a five-minute task instead of a homework assignment. Ask specifically ("would you write a couple of lines about the migration project?"), offer the raw material ("feel free to mention the downtime number"), and accept that busy people appreciate a draft: sending them this tool with your project pre-agreed is not gauche, it is logistics. Recommendations die of friction far more often than of unwillingness.

The anatomy the drafts follow

  • Open inside the evidence: the situation or the trait-in-action, first sentence, no wind-up.
  • Anchor the relationship: one clause on how you worked together, so the testimony has a source.
  • Land the pattern: the example generalized honestly ("that week was typical of her") without inflating it.
  • Close warm and plain: what you would say to someone considering hiring them, in one sentence a human would say.

Giving recommendations as quiet network-building

A given recommendation is one of the few LinkedIn actions that is pure contribution: it lives on their profile, helps their next search, and signals your standards to everyone who reads it, including about you. Two or three honestly written ones a year, for people whose work you would vouch for anyway, compound into exactly the goodwill cold outreach tries to shortcut. Pair it with the connection request writer at the start of relationships and this tool at their maturity, and the network takes care of its own arithmetic. Your own profile's credibility side is graded by the profile scorer, where received recommendations count in the credibility dimension.

Frequently asked questions

How does the recommendation generator work?

You supply the truth of the working relationship: how you worked together, what they are genuinely good at, and one specific real example. It drafts two recommendations (400 to 900 characters) that lead with something concrete instead of "I highly recommend", weaving your example in as the proof. No invented projects, titles or outcomes: your inputs are the entire fact base.

Why does it insist on a specific example?

Because the example is the recommendation. "Great team player" appears in a million recommendations and lands in none; "when a vendor collapsed mid-project she re-planned the quarter in a week" is testimony. Generic praise reads as obligation, specifics read as memory. The required field is the tool refusing to write the useless kind.

Someone asked me for a recommendation and I am blanking. Help?

The form is the cure for blanking: three questions with factual answers. Fill it with the first true things that come to mind (the project, the pressure moment, the thing you would rehire them for), and the drafts arrive sounding like you remembered all along. Edit one phrase to your natural voice and it is done in ten minutes, promise kept.

Should I write a recommendation to GET one back?

Reciprocity is real but works best unengineered: write honestly for people whose work you genuinely rate, and ask directly (separately) when you want one. Trading recommendations line for line produces matched pairs that savvy readers discount. Two genuine one-way recommendations beat one suspicious swap.

How long should a LinkedIn recommendation be?

The 400 to 900 character range the tool writes in: long enough for one story and one clear endorsement, short enough to be read fully. The rare great long recommendation exists, but the failure mode of long is padding, and padding dilutes testimony. One example told well beats four listed thinly.

What happens to what I write about my colleague?

Sent once to the model, drafts return, nothing stored beyond the 10-minute rate counter (10 generations per 10 minutes per visitor). You are describing a real person; we keep that description precisely as long as drafting takes and not a second longer. Posting the final text on their profile is yours to do on LinkedIn.