LinkedIn Recommendation Examples: How to Write & Request

Best LinkedIn recommendation examples for colleagues, managers, and clients. Learn how to write and request recommendations that stand out.

Anandi

LinkedIn Recommendation Examples Guide

LinkedIn recommendations are third-party testimonials that validate your professional abilities. According to LinkedIn, recommendations appear directly on your profile and can significantly influence recruiters, clients, and potential business partners.

Key Takeaways

  • LinkedIn recommendations provide social proof that differentiates your profile from competitors
  • Specific achievements with measurable results make recommendations 3x more impactful than generic praise
  • 61 million people search for jobs on LinkedIn weekly—recommendations help you stand out
  • Quality over quantity: 3-5 strong recommendations outperform 10+ generic ones

Why LinkedIn Recommendations Matter

According to Jobscan research, 95% of recruiters scan LinkedIn profiles when evaluating candidates. Recommendations offer genuine insights into your capabilities beyond what you claim in your resume.

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Unlike endorsements (one-click skill validations), recommendations are written testimonials that require effort from the giver. This makes them more valuable for establishing credibility.

Benefits of Strong Recommendations

BenefitImpact
Social proofThird-party validation of your claims
DifferentiationStand out from similar profiles
Trust buildingReduces perceived risk for hiring decisions
Authority signalShows you deliver results others appreciate

LinkedIn Recommendation Examples by Role

Example 1: Recommendation for a Colleague

"Collaborating with Sarah on our product launch was a masterclass in project management. She coordinated 12 cross-functional stakeholders, kept us ahead of a tight deadline, and delivered a launch that exceeded revenue targets by 34%. What sets Sarah apart is her ability to anticipate roadblocks before they become problems. She's the teammate everyone wants on their critical projects."

Why it works: Specific numbers (12 stakeholders, 34% revenue), concrete project context, and a unique differentiator.

Example 2: Recommendation for a Direct Report

"During his two years on my team, Michael consistently tackled our most complex engineering challenges. His redesign of our authentication system reduced security incidents by 80% while improving user experience metrics. Beyond technical skills, Michael mentors junior developers and elevates everyone around him. Any team would be fortunate to have him."

Why it works: Quantified impact (80% reduction), timeframe (two years), and highlights leadership qualities.

LinkedIn Recommendation Template

Example 3: Recommendation for a Manager

"Working under Jennifer taught me more about strategic thinking in one year than I learned in the previous five. She gave me ownership of a $2M marketing budget and coached me through decisions rather than making them for me. When I was promoted to Director, Jennifer was the first person I thanked. She creates leaders, not followers."

Why it works: Shows leadership impact, specific development received, and career advancement connection.

Example 4: Recommendation for a Client or Vendor

"We hired ConnectSafely to transform our LinkedIn presence, and the results speak for themselves: 47 qualified inbound leads in 90 days, with 12 converting to clients. Their team understood our consulting niche immediately and created content that resonated with our exact buyer persona. The ROI made this one of our best marketing investments."

Why it works: Specific results (47 leads, 12 clients, 90 days), clear ROI connection, industry context.

Example 5: Recommendation for a Business Partner

"I've partnered with David on three major initiatives over five years. Each time, he brings strategic insight that transforms good ideas into great outcomes. Our most recent collaboration increased our client's market share by 23%. David is my first call when I need someone who thinks two steps ahead."

Why it works: Demonstrates ongoing relationship, specific outcome, and positions as trusted advisor.

How to Write a LinkedIn Recommendation

According to The Muse, effective recommendations follow a clear structure.

Step 1: Start with a Compelling Statement

Open with something memorable that captures attention:

  • Weak: "John is a great colleague."
  • Strong: "John is the sales rep who closes deals others have given up on."

Step 2: Establish Your Relationship

Briefly explain how you know the person and for how long:

"I worked directly with Maria for three years at Acme Corp, where she led our data science team and I managed product development."

Step 3: Highlight Specific Achievements

Replace generic qualities with measurable results:

Generic (Avoid)Specific (Use)
"Great at sales""Brought in 15 new clients worth $200K in her first year"
"Hard worker""Delivered the project 2 weeks early while maintaining 99% quality scores"
"Good communicator""Presented to our C-suite monthly and secured $1.2M in additional budget"

Step 4: Describe What Makes Them Unique

What differentiator sets this person apart?

"What makes Alex exceptional is his ability to translate technical concepts for non-technical stakeholders. He's the bridge between engineering and business that every company needs."

Step 5: Close with a Strong Endorsement

End with a clear recommendation statement:

"I recommend Sarah without reservation for any leadership role. The team that hires her gains a genuine competitive advantage."

Writing Strong LinkedIn Recommendations

How to Request a LinkedIn Recommendation

Step 1: Identify the Right People

Choose recommenders who can speak to specific aspects of your work:

  • Former managers — Leadership, performance, growth
  • Colleagues — Collaboration, team contribution
  • Clients — Results delivered, relationship quality
  • Direct reports — Management style, mentorship

Step 2: Make It Easy for Them

Provide context to help them write effectively:

"Hi Maria, I'm updating my LinkedIn profile and would love a recommendation from you. If you're willing, it would be helpful to mention our work on the Q3 product launch and how I coordinated the cross-functional teams. Happy to reciprocate!"

Step 3: Offer Talking Points

Suggest specific achievements they might reference:

  • "The project where we reduced customer churn by 18%"
  • "How I mentored the new team members during our expansion"
  • "The client presentation that secured the $500K contract"

Step 4: Follow Up Gracefully

If you don't receive a response within two weeks, send a gentle reminder. If they decline, respect their decision and move on.

LinkedIn Recommendation Best Practices

Do This

  • Be specific: Include numbers, project names, and concrete outcomes
  • Keep it focused: 3-4 paragraphs (150-300 words) is ideal
  • Personalize it: Reference your unique relationship and experiences
  • Update regularly: Request new recommendations after major achievements

Avoid This

  • Generic phrases: "Great team player" or "pleasure to work with" without context
  • Exaggeration: Claims that seem inflated damage credibility
  • Reciprocity pressure: Don't imply you expect a recommendation in return
  • Length extremes: Too short lacks substance; too long loses attention

How Recommendations Build Inbound Authority

Strong LinkedIn recommendations contribute to your inbound lead generation strategy by:

Building Trust Before First Contact

When prospects research you before responding to outreach, recommendations validate your claims. According to HubSpot, inbound leads convert at 14.6% compared to 1.7% for outbound—recommendations accelerate this trust-building process.

Signaling Authority in Your Niche

Recommendations from recognized industry figures transfer credibility to your profile. This supports your personal brand and positions you as a trusted expert.

Attracting Opportunities

Profiles with strong recommendations often receive more inbound connection requests and messages from potential clients, partners, and recruiters.

LinkedIn Recommendation Templates

Template for a Colleague

"[Name] and I worked together on [project/team] for [timeframe]. During this time, I was consistently impressed by [his/her/their] ability to [specific skill]. One example that stands out is when [specific achievement with measurable result]. What makes [Name] exceptional is [unique differentiator]. I highly recommend [him/her/them] for any team that values [key quality]."

Template for a Manager

"I reported to [Name] for [timeframe] at [Company]. [He/She/They] gave me the opportunity to [growth opportunity] and coached me through [challenge]. As a result, I [measurable outcome]. [Name] is the kind of leader who [unique leadership quality]. I recommend [him/her/them] without hesitation."

Template for a Service Provider

"We engaged [Name/Company] to help us with [service]. Over [timeframe], they delivered [specific results]. What impressed me most was [differentiator]. The ROI on this engagement was [outcome]. I recommend [Name/Company] to any organization looking for [benefit]."

How ConnectSafely.ai Builds Profile Authority

ConnectSafely.ai helps you build the kind of LinkedIn presence that naturally attracts recommendation requests:

  • Strategic engagement positions you as a thought leader others want to recommend
  • Content authority demonstrates expertise that recommendations can reference
  • Inbound connections from ideal clients who may become future recommenders

Instead of chasing recommendations, you attract them by being genuinely valuable to your network.

The Credibility Gap: Why Recommendations Outweigh Endorsements 10-to-1

Endorsements and recommendations sit side-by-side on LinkedIn profiles, but recruiters and buyers weigh them very differently. Understanding the credibility gap explains why ten endorsements add less profile lift than one well-written recommendation.

DimensionEndorsementRecommendation
Time investment from giver1 click, ~3 seconds10–20 minutes of writing
Required relationship depthNone — strangers can endorseVerifiable working relationship
SpecificitySkill name only ("SEO")Project, outcome, context
Reciprocity biasHeavy (endorsement swaps are common)Low (effort cost discourages quid pro quo)
Recruiter trust scoreLow — discounted as noiseHigh — used as a pre-call reference signal
Algorithm weight in Recruiter searchMinor skill-match boostAdds "social proof" tag visible to recruiters

Practitioner takeaway: A profile with 3 detailed recommendations and zero endorsements outperforms a profile with 99+ endorsements and zero recommendations in 73% of recruiter-pipeline reviews (LinkedIn Talent Solutions, 2024).

Recommendations as Your 24/7 Sales Team (Strategic Asset View)

Most professionals think of recommendations as a one-time profile decoration. Senior practitioners treat them as a deployed asset that runs in the background — every time a prospect, recruiter, or partner researches your name, your recommendations pitch on your behalf.

The asset-mapping framework:

  1. Map each recommendation to a buyer objection — A recommendation that says "delivered the launch 3 weeks ahead of schedule" disarms the "can they ship on time?" objection before it surfaces
  2. Distribute coverage across the full buyer journey — Awareness (industry credibility), consideration (capability), decision (ROI proof), retention (relationship quality)
  3. Refresh strategically every 18 months — Old recommendations signal a stalled career; rotation keeps the asset evergreen
  4. Pair recommendations with linked content — When a recommender mentions a project, publish a case study about that project the same week. Cross-reinforces both assets
  5. Track which recommendations get screenshotted in DMs — When someone references a recommendation back to you in a conversation, that is the high-converting asset. Double down on similar ones

The shift in mental model: recommendations are not testimonials sitting on a profile. They are sales collateral that runs autonomously, every minute your profile is being viewed.

The Specificity Problem: Why Most Recommendations Fail Silently

The reason most recommendations underperform is not bad writing — it is generic writing. Vague praise signals to readers that the recommender did not actually work closely with the subject, which can actively hurt credibility.

The 4-tier specificity audit:

TierExample PhrasingEffect on Reader
Tier 1 (worst)"Great team player"Discounted as filler; some readers question whether the recommender knows the subject
Tier 2"Great team player who delivered consistently"Slightly better but still generic
Tier 3"Delivered the Q4 marketing campaign on time and under budget"Specific event, but no outcome
Tier 4 (best)"Delivered the Q4 marketing campaign 3 weeks early and 14% under budget, generating 1,200 qualified leads"Specific event + measurable outcome — fully credible

Practitioner edit rule: Before publishing, replace every adjective in the recommendation with a number, percentage, dollar amount, or named project. If a sentence does not contain a quantifier or a proper noun, rewrite it or delete it.

Myth vs Reality: Recommendation Misconceptions That Hurt Profiles

MythReality
"More recommendations is always better"Profiles with 15+ recommendations of mixed quality convert worse than profiles with 5 strong, role-aligned ones. Dilution is real.
"You should reciprocate every recommendation you receive"Reciprocity makes both recommendations look transactional. Recommend back only when the work genuinely warrants it, and ideally not within 7 days of receiving theirs.
"Recommendations don't matter for senior roles"At the VP and C-level, recommendations matter more, not less — they substitute for the references hiring committees would otherwise call. A strong board-level or peer-CEO recommendation can shortcut a 4-week reference process.
"The LinkedIn algorithm doesn't read recommendation text"LinkedIn's Recruiter product does index recommendation content for keyword matching. A recommendation that uses your target keywords ("growth marketing," "B2B SaaS," "RevOps") adds search-discoverability lift.
"You can't ask for recommendations from clients"Client recommendations are the highest-converting type for service businesses — they double as sales testimonials. The mistake most consultants make is waiting until project end instead of asking at the peak satisfaction moment (typically mid-project after a key win).
"Recommendations replace the need for a portfolio or case studies"Recommendations and case studies are complementary — recommendations provide the who-validates, case studies provide the what-happened. Profiles with both convert 2–3x better than profiles with only one.

Advanced: The Pre-Recommendation Groundwork System (For Senior Professionals)

For readers who already write good recommendations and request them regularly — this is the layer above. Senior practitioners do not "ask for recommendations." They engineer the conditions in which excellent recommendations are written with minimal friction.

The 4-phase groundwork system:

Phase 1: Pre-frame the relationship (during the work itself)

  • During the project, document standout moments in a shared Slack or email thread — wins, kudos from clients, key metrics. This becomes the recommender's source material later, written in their voice during the moment.
  • Send a "wins recap" email at project close that explicitly enumerates outcomes. Recommenders copy from this 80% of the time.

Phase 2: Time the ask to peak satisfaction

  • Best moments: immediately after a client renewal, after a public win (award, press, launch), after a positive performance review
  • Worst moments: end-of-quarter, immediately before a holiday, during a layoff or restructure
  • The 30-day decay rule: recommendation quality drops sharply 30+ days after the high point of the relationship — ask within that window

Phase 3: Provide a structured ask (the 5-bullet template)

Send the recommender 5 specific things in your ask message:

  1. The role / outcome you want them to anchor on
  2. 2–3 specific projects or metrics they could reference
  3. A skill or trait you want emphasized (the "differentiator")
  4. The audience you are writing for (recruiters? prospective clients? future board?)
  5. A deadline that is comfortable (10–14 days, not "whenever")

Phase 4: Edit-and-return loop

  • Offer to "send a rough draft you can edit" — many busy recommenders prefer this and rate it as more respectful of their time
  • If they send their own draft, return one round of suggested edits with rationale ("could we add the 32% number from the launch?")
  • Never publish a recommendation that does not yet contain a quantifier or named project

This system converts the recommendation request from a low-conversion, awkward favor into a structured collaboration that produces tier-4 (highest specificity) recommendations consistently.

Frequently Asked Questions

How many LinkedIn recommendations should I have?

Aim for 3-5 strong, specific recommendations rather than 10+ generic ones. Quality matters more than quantity. Focus on getting recommendations from diverse sources (managers, colleagues, clients) that speak to different aspects of your capabilities.

How do I ask for a LinkedIn recommendation without being awkward?

Make it easy by providing context. Mention a specific project you worked on together and offer to reciprocate. Most professionals understand the value of recommendations and are happy to help when approached professionally.

Should I write a LinkedIn recommendation if I can't be fully positive?

Only write recommendations for people you can genuinely endorse. If you can't be positive, politely decline. A lukewarm recommendation hurts both parties. It's better to have no recommendation than one that damns with faint praise.

How long should a LinkedIn recommendation be?

Aim for 150-300 words (3-4 paragraphs). This provides enough space for specifics without losing the reader's attention. Open with impact, provide context and evidence, then close with a strong endorsement.

Can I edit a LinkedIn recommendation I gave to someone?

Yes, you can edit or delete recommendations you've written. Go to the person's profile, find your recommendation, and click the edit option. However, consider reaching out to discuss any changes first.


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The Dark Side of LinkedIn Recommendations: When They Backfire

While LinkedIn recommendations are highly valued, there are situations where they can actually harm your professional reputation. This often occurs when the recommendation is overly flattering or seems insincere. For instance, if a colleague writes a glowing review that focuses more on your personal traits rather than specific professional achievements, it may raise eyebrows. Similarly, if you have a recommendation from someone who is not a credible source or has a questionable professional history, it can reflect poorly on you. It's essential to be mindful of who is recommending you and what they are saying. A recommendation that seems too good to be true or comes from an unverifiable source can lead to skepticism about your credibility. Furthermore, if you're requesting recommendations from multiple people in a short span, it may appear as though you're trying too hard to bolster your profile, which can also have a negative impact. It's crucial to strike a balance and ensure that your recommendations are genuine, specific, and come from reputable sources.

Myth vs Reality: The Truth About LinkedIn Recommendation Quotas

There's a common misconception that having a large number of LinkedIn recommendations is the key to a successful profile. Many professionals believe that the more recommendations they have, the more attractive they'll appear to potential employers or clients. However, this is far from the truth. Quality trumps quantity when it comes to LinkedIn recommendations. Having three to five strong, detailed recommendations from credible sources is far more valuable than having ten or more generic ones. In fact, having too many recommendations can make it seem like you're trying too hard or that you've solicited them from people who don't really know you. It's also important to note that LinkedIn doesn't have a specific quota for recommendations, and there's no evidence to suggest that having a certain number of recommendations will directly impact your visibility or attractiveness to others. What matters most is the content and credibility of the recommendations, not the sheer number.

Advanced Recommendation Strategies: Leveraging LinkedIn's Algorithm

For advanced LinkedIn users, it's essential to understand how the platform's algorithm impacts the visibility of recommendations. LinkedIn's algorithm prioritizes recommendations that are specific, detailed, and come from credible sources. To maximize the impact of your recommendations, it's crucial to encourage recommenders to include specific numbers, metrics, or achievements in their testimonials. This not only makes the recommendation more credible but also helps LinkedIn's algorithm understand the context and relevance of the recommendation. Additionally, it's essential to ensure that your recommenders are connected to you and have a strong profile themselves. This helps LinkedIn's algorithm verify the credibility of the recommendation and increases its visibility. By understanding how LinkedIn's algorithm works and leveraging it to your advantage, you can increase the impact of your recommendations and make your profile more attractive to potential employers or clients.

The Art of Requesting Recommendations: Timing, Tone, and Strategy

Requesting LinkedIn recommendations can be a delicate matter, and timing, tone, and strategy are crucial to getting it right. It's essential to request recommendations at the right moment, such as after completing a successful project or achieving a significant milestone. This ensures that the experience is fresh in the recommender's mind, and they can provide specific, detailed feedback. The tone of the request is also vital; it should be polite, gracious, and respectful of the recommender's time. A well-crafted request should include a brief summary of the project or achievement, the specific skills or qualities you'd like them to highlight, and a clear call-to-action. It's also essential to make it easy for the recommender to provide the recommendation by including a link to your LinkedIn profile and a suggested outline. By getting the timing, tone, and strategy right, you can increase the chances of getting high-quality recommendations that showcase your professional strengths.

Edge Cases: Navigating Uncomfortable or Unusual Recommendation Requests

There are situations where requesting or receiving LinkedIn recommendations can be uncomfortable or unusual. For instance, what if a former colleague or manager is requesting a recommendation from you, but you didn't have a positive working relationship? Or what if someone is asking you to recommend them, but you don't feel they're worthy of a glowing review? In such cases, it's essential to handle the situation with tact and professionalism. You can politely decline the request, citing a lack of familiarity with their work or a conflict of interest. Alternatively, you can provide a neutral or balanced recommendation that highlights their strengths and weaknesses. It's also important to remember that you're not obligated to provide a recommendation, and it's okay to say no if you're not comfortable doing so. By navigating these edge cases with sensitivity and professionalism, you can maintain your integrity and avoid potential conflicts or awkward situations.

About the Author

Anandi

Content Strategist, ConnectSafely.ai

LinkedIn growth strategist helping B2B professionals build authority and generate inbound leads.

LinkedIn MarketingB2B Lead GenerationContent StrategyPersonal Branding

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