The LinkedIn Ads Library (linkedin.com/ad-library) launched in mid-2023 as LinkedIn's response to the EU Digital Services Act's transparency requirements. It surfaces every active ad on the platform, attached to the running Page, with visibility into format, targeting countries, and engagement counts. Less mature than Meta's Ad Library, but materially better than the 'screenshot competitor LinkedIn posts manually' approach that B2B teams used pre-2023.
Coverage
All active LinkedIn ads
Refresh
Within ~24 hours of launch
Access
Free, no LinkedIn account required
Walkthrough
How to use it, step by step
- 1
Go to linkedin.com/ad-library
Direct URL is the cleanest path. The library is partially discoverable from LinkedIn Pages (each Page has an 'Ads' tab showing their current ads) but the standalone library view supports broader search across companies.
Bookmark the URL. LinkedIn's navigation buries the library and you'll waste time finding it if you start from the main app. - 2
Search by company name
Type the exact LinkedIn company Page name. Keyword search exists but is much noisier than on Meta because LinkedIn's ad targeting often surfaces ads where keywords appear by coincidence rather than intent. Company-name search anchors on a specific advertiser.
- 3
Filter to active ads in your target country
LinkedIn partitions by country of delivery. Set the country filter explicitly - the default uses your detected location which is often wrong for B2B research where you're auditing global SaaS companies. 'Active' status focuses on what's running now; 'Expired' shows historical campaigns for trend work.
- 4
Click into each ad for the format breakdown
Each result shows the ad creative, the running Page, and a 'See more' link. Click in for: ad format (sponsored content vs video vs thought leader vs conversation), running countries, engagement counts (likes, comments, shares - this is the differentiator vs Meta), and ad delivery dates.
- 5
Read engagement counts as a quality proxy
LinkedIn shows actual engagement numbers on ads, unlike Meta's library. A thought-leader ad with 200+ reactions and 30+ comments is performing organically (LinkedIn rewards engagement with distribution). A boilerplate brand ad with 5 reactions and 0 comments is not. Engagement count is the closest free proxy to performance on LinkedIn.
Sort competitors' active ads by engagement and study the top 3-5. The reaction-to-comment ratio matters too - high comments signal real audience engagement, high reactions with low comments signal passive engagement. - 6
Capture thought leader ads carefully
Thought leader ads (promoted posts from individual LinkedIn profiles) are displayed in the library attributed to the company running them - not the individual posting. This is the format you most want to study in 2026 because it's the highest-performing LinkedIn format. Capture both the company-attribution view (from the library) and the underlying personal-post view (from the individual's profile) to fully understand the format.
- 7
Note targeting countries (not audiences)
LinkedIn discloses the countries the ad is targeted to, but not the audience characteristics (role, seniority, industry, company size). Targeting countries gives you geographic scope but not the deeper audience cut. For audience reverse-engineering, you'll need to combine the library data with public info about the brand's known ICP.
- 8
Save to your swipe file with structured tags
Tag each saved LinkedIn ad with: format (thought leader / conversation / video / document / carousel / single image), engagement tier (top quartile vs median vs low), hook archetype, and angle. Without structured tagging the swipe file becomes a screenshot pile - more from LinkedIn than from Meta because the format diversity is higher.
The LinkedIn-specific tag to add: 'narrative shape' (first-person founder, third-person customer, brand-led, listicle). Each shape carries different algorithmic preferences.
Cheatsheet
Filters that matter
| Filter | What it does | When to use |
|---|---|---|
| Company name | Restricts to ads from a specific LinkedIn company Page. | Primary search path - much cleaner than keyword search. |
| Country | Filters to ads delivered in a specific country. | Set explicitly - the default uses detected location which is often wrong for global B2B research. |
| Active status | 'Active' shows currently delivering; 'Expired' shows past campaigns. | 'Active' for benchmarking, 'Expired' for trend analysis across quarters. |
| Ad format | Filter to sponsored content, video, document, carousel, thought leader, conversation, or message ads. | Filter to one format before comparing - thought leader ads operate by different rules than sponsored content. |
| Date range | Restricts results by delivery date range. | Use 'last 30 days' for tracking what's new this quarter. |
What it won't tell you
The gaps
No audience targeting visibility
LinkedIn shows the countries of delivery but not the audience characteristics (role, seniority, industry, company size). An ad targeted at VPs of RevOps at $50M+ companies looks identical in the library to an ad with broad audience. The targeting layer - which is half the value of LinkedIn ads - stays invisible.
No spend or impression data
Like Meta's library, LinkedIn discloses creative but not spend. You can see which ads are running and how they're engaging, but not how much budget is behind them. Two ads with identical creative could have wildly different budgets and impression scale.
Engagement counts can mislead
Reactions inflate from passive 'thumb-stop' interactions; comments are the more meaningful engagement signal. An ad with 500 reactions and 2 comments is doing worse than an ad with 80 reactions and 30 comments. Read the ratio, not the totals.
Historical archive is shallow
The library launched in mid-2023 and the archive only goes back to launch. Ads from 2022 or earlier aren't accessible. Useful for current research, less useful for multi-year trend work.
Shuttergen
Audit B2B competitors automatically.
Shuttergen tracks every LinkedIn winner in your category weekly - format, engagement tier, narrative shape - and generates thought-leader-style ads in your founder's voice.
What B2B teams actually use the LinkedIn Ads Library for
Pre-2023, LinkedIn competitive ad research was a hack: scroll competitors' LinkedIn Pages, screenshot what looked like sponsored content, hope you caught the format details correctly. The official Ads Library cleaned this up - capture is faster, attribution is correct, format metadata is exposed. For B2B SaaS performance teams, the library moved competitive intelligence from 'unreliable and slow' to 'reliable and fast'.
Three primary use cases dominate in 2026: thought leader ad pattern research (study which executives at competitor companies are running thought leader ads and what those ads look like), format-mix audits (what percentage of a competitor's ad spend appears to be thought leader vs sponsored content vs document ads), and campaign launch tracking (catch when competitors ship new campaigns and what creative they're testing).
The library is less useful for spend estimation, audience reverse-engineering, and historical trend work - those gaps haven't been filled and probably won't be. LinkedIn has no commercial incentive to deepen the disclosures further than the regulatory mandate.
Audit B2B competitors automatically. Shuttergen tracks every LinkedIn winner in your category weekly - format, engagement tier, narrative shape - and generates thought-leader-style ads in your founder's voice.
How the LinkedIn library compares to Meta's
Meta's library is broader, deeper, more mature. Launched in 2018, covers every active Meta ad globally, supports API access for programmatic capture, has a longer historical archive. The LinkedIn library is essentially Meta's library shape applied to LinkedIn but ~5 years younger and with thinner archive depth.
LinkedIn's library has one advantage Meta's doesn't: engagement counts. Meta strips engagement data from ads ported into the library; LinkedIn preserves it. Engagement counts are imperfect proxies for performance but they're the closest free signal you'll get on LinkedIn. Use them.
Workflow implication: treat the two libraries as different shapes of the same job. Meta's library is for exhaustive creative capture; LinkedIn's library is for engagement-weighted format research. Don't apply Meta-library workflows to LinkedIn (you'll miss the engagement layer); don't apply LinkedIn-library workflows to Meta (the engagement signal doesn't exist there).
Where the LinkedIn library wins for B2B research
Thought leader ad pattern detection. The format requires a person (executive's personal account) plus a sponsor (company ad account). The library shows both attributions which lets you map 'which executives at which companies are running thought leader campaigns'. This map is the highest-leverage B2B competitive intel artifact you'll produce - and it's almost free.
Real-time campaign launch detection. Set a calendar reminder for a Monday morning sweep of your top 5-8 competitors. Twenty minutes per week catches every new campaign launch and gives you 5-10 days to respond before they get scale. Pre-2023 this required manually monitoring LinkedIn feeds; post-library it's a 20-minute task.
Engagement-weighted format benchmarking. Filter to a specific competitor + format (e.g., 'all thought leader ads from Gong in the last 90 days'), sort by engagement, study the top 3. You can answer 'what does a top-quartile thought leader ad look like for our category' in 30 minutes using the library directly - no paid tool needed.
FAQ
Frequently asked
What is the LinkedIn Ads Library?
Where is the LinkedIn Ads Library URL?
Is the LinkedIn Ads Library free?
Does the LinkedIn Ads Library show how much was spent?
Can I see audience targeting in the LinkedIn Ads Library?
How is the LinkedIn Ads Library different from Meta's?
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Audit B2B competitors automatically.
Shuttergen tracks every LinkedIn winner in your category weekly - format, engagement tier, narrative shape - and generates thought-leader-style ads in your founder's voice.