LinkedIn Ad Library Search, Now Native: Paste a Company URL, Get Every Ad

LinkedIn ad library search used to mean bouncing between LinkedIn's own UI, a pile of open tabs, and a scratchpad of Company IDs someone on the team pasted in Slack. You'd paste a URL, scroll a brittle interface, copy screenshots, and hope nothing archived before you shipped the teardown. That workflow collapsed this week. LinkedIn ads are now a first-class source inside adlibrary — paste a Company page URL or a raw Company ID, and every ad that account is running lands in the same feed you use for Meta.

This is what the new LinkedIn ad library search actually does, how to drive it, and where it fits inside a working competitor-intelligence loop.

TL;DR: LinkedIn ad library search is now native in adlibrary. Paste a LinkedIn Company page URL, a bare Company ID, or a keyword — the same search bar routes to LinkedIn's ad library, applies your geo and date filters, shows impressions and days-running on each card, and estimates spend. Enrichment (landing page, domain, follower count) streams in progressively. One-click download pulls the creative. Every LinkedIn card deep-links back to that advertiser's full ad history.

LinkedIn ad library search, from brittle workflow to native source

LinkedIn's own library is an honest attempt at ad transparency, but the UX was built for compliance, not for teams trying to run a competitor ad research loop five times a day. You could search. You could filter. You couldn't easily pull every ad from an advertiser, couldn't sort by how long each had been in-market, couldn't save cleanly, couldn't estimate spend, and couldn't pipe the output into anything downstream.

The native integration addresses each of those in turn. Same search bar as Meta, same card grammar, same filter set. The difference is that LinkedIn is no longer a second-class citizen arriving as one federated result among others — it's a full source with its own advertiser-level endpoints wired into the product.

Why it matters for the kind of work you're doing: B2B ad intelligence runs on LinkedIn the way DTC ad intelligence runs on Meta. If you're doing a market entry research pass, pitching an agency client, or mapping a category before a launch, the LinkedIn layer is often the signal that decides the pitch. Getting that layer into the same pane as Meta collapses the tab-switching that used to eat the first ten minutes of every session.

How to drive LinkedIn ad library search: URL, Company ID, keyword

Three ways in. Pick whichever is easiest given what you have on hand.

Paste a LinkedIn Company page URL

Drop the URL into the search bar — e.g., https://www.linkedin.com/company/<slug> — and adlibrary extracts the Company ID and pulls every ad that advertiser is running. This is the path for "show me everything this company is pushing right now", which is almost always what you actually want when you've just read a competitor's press release or spotted a new brand in the category.

Paste a bare Company ID

If you already know the LinkedIn Company ID (numeric, visible in the URL when you inspect an advertiser's LinkedIn page), paste it directly. Same result as the URL path — one request, full ad history from that account.

Paste a keyword

Still works. The keyword search hits LinkedIn's ad corpus broadly, pulls matching ads across advertisers, and renders them in the same feed. Useful when the question is "who in this category is running hook X?" rather than "what is advertiser Y running?"

Add geo and date filters on top of any of the three. For a cadence read, a 60-day window is usually the sweet spot — long enough to see rotation, short enough to ignore ads that've been stale for months.

Cross-platform filters that finally behave

The filter layer is where the rewrite paid off.

• Platform filter, LinkedIn-only. Flip the platform dropdown to LinkedIn and the feed routes exclusively to LinkedIn. No noise from other sources. Useful when you're doing a pure LinkedIn teardown and don't want Meta thumbnails in the peripheral vision.
• Geo filter. Restrict to a country or region. For B2B especially, this matters — a US-only launch and an EMEA launch are often running two completely different ad sets, and a single geo filter tells you which you're looking at.
• Date filter. Standard range slider. Start with "last 60 days" for most teardowns.
• Exclude-keyword, sort field, language, ads type. Client-side filter parity — the exclusion/sort/language/type filters you use on Meta behave identically on LinkedIn. No context-switching. No wondering whether a filter is silently ignored on one source and not another.

Lazy enrichment: what hits the screen in which order

A small architectural choice that reshapes how the feature feels.

When you hit search, the core ad result — creative, headline, advertiser name — renders the second it streams in. The enriched fields (landing page URL, destination domain, follower count, some of the deeper metadata) come in behind on separate async calls. You don't sit staring at a spinner waiting for the slowest dependency before seeing anything.

In practice this means the first ad card is on screen before most ad library UIs have finished their initial request. The detail panel lights up progressively rather than blocking on one slow call. If you're the kind of practitioner who pulls 30 advertiser feeds a day, that latency compresses from minutes to seconds across a session.

The ad detail view and AI ad enrichment features are what you're actually seeing fill in when this happens.

Estimating LinkedIn spend from a single card

Every LinkedIn ad with enough underlying signal now carries a spend estimate, on the card and in the detail panel.

The model is the same one we use for Meta and federated results, re-grounded for LinkedIn's data shape. It's derived from EU political-ad transparency filings — the only public dataset where you can match actual spend against actual reach at scale. From that, we pulled a correlation of r = −0.516 between log daily impressions and eCPM, and built two CPM curves:

• By follower count — for advertisers where we have it, enriched from the company profile. 10M+ followers → roughly $1.50 CPM. Scales up as the follower count scales down. Under 10K followers → closer to $10 CPM.
• By daily impression rate — fallback for advertisers where follower count isn't available. 50K+ impressions/day → roughly $1.50 CPM. Small advertisers → roughly $10 CPM.

Keep the framing right: this is a sort-and-compare estimate, not an audit number. It's enough to tell whether a LinkedIn advertiser is testing or scaling a creative, enough to rank a shortlist of competitors by approximate budget priority, and enough to spot the outliers — the $5M-a-year ad vs the $50K test. If you need to pressure-test the math for a specific ad, the CPM calculator, CPA calculator, and ad spend estimator let you run the numbers in isolation.

Where LinkedIn ad library search fits in a working intelligence loop

Tools are only as valuable as the workflow they unblock. A few patterns worth naming:

The cadence read. For each competitor you watch, drop the Company ID with a 60-day filter. Scan the sort by days-running. Three signals: which ads have been in-market longest (winners), which just launched (the test queue), and the ratio between the two (is this account testing heavily or scaling a few winners). This fits a creative strategist workflow cleanly.

The category map. Before a launch or a pitch, paste the top 6–8 Company IDs in the category. Set the same geo and date filters across all. You end up with a live map of what the category's paid-LinkedIn surface actually looks like — category vocabulary, ad copy patterns, the hooks that are working and the ones every account is avoiding. Plugs straight into an agency client pitch or a cold-market campaign benchmarking deliverable.

The ICP anchor. For sales teams, a competitor's in-market LinkedIn ads are the sharpest read on what that competitor is currently promising their buyers. Hooks become buyer-language. The CTA button text ("Book a Demo", "Download the Report", "Start Free") tells you where the funnel pressure sits this quarter. Pull it once a week.

The automation path. If any of the above is repetitive, you probably want it scripted rather than clicked. API access exposes the same queries programmatically; Claude Code + adlibrary API workflows walks through the agentic pattern for wiring a pull on a schedule and piping the output into wherever your team actually reads it. Automate competitor ad monitoring is the use-case writeup.

A voice note for anyone who's spent a year scraping LinkedIn with a headless browser: this is not the same thing as the bespoke scraper you built in 2024. The advertiser-level pull, geo/date filters, and spend model cover roughly 80% of why that scraper existed. For the remaining 20% — deep panel enrichment, weekly rollups, cross-platform joins — the API is almost always the better long-term home.

FAQ

How do I search the LinkedIn ad library by company?

In adlibrary, paste a LinkedIn Company page URL, a bare Company ID, or a keyword into the search bar. The Company URL and Company ID both return every ad that advertiser is currently running. Geo and date filters apply. Alternatively, LinkedIn's own ad transparency center accepts the same inputs but without the advertiser-level pull, sort options, or spend estimates.

Is the LinkedIn ad library free to search?

LinkedIn's native ad library is free and public. The native LinkedIn ad library search inside adlibrary is gated by the standard adlibrary plan — the free tier covers basic queries, paid tiers open advertiser-level pulls at volume, enrichment, and API access.

Can I see how long a LinkedIn ad has been running?

Yes. Each LinkedIn card surfaces days-running and impressions directly on the card view, so you can sort the feed by longevity without opening every detail panel.

How accurate are the LinkedIn ad spend estimates?

Directional. The estimate is derived from CPM curves grounded in EU political-ad transparency data (r = −0.516 between log daily impressions and eCPM) and applied to LinkedIn using follower count or impression rate as the input. Use it to rank and compare within the feed, not to reconstruct an advertiser's media plan.

Can I download LinkedIn ads for a swipe file?

Yes. Every ad card — Meta, LinkedIn, federated — has a one-click download button that pulls the video or current carousel image to your machine. Pair it with saved ads for a persistent team swipe file.

Search collapses the workflow, spend estimates sort the feed, and the download button finally closes the loop to "I can use this creative offline". Paste one Company URL and see how long it takes before the muscle memory from LinkedIn's native UI starts to feel slow.