Use case
Find Creative Inspiration From 100,659 Real B2B LinkedIn Ads
A blank brief is the hardest starting point in B2B marketing. AdPeekly tracks 266,919 published LinkedIn ads from 649 curated B2B companies, deduplicated to 100,659 distinct creatives, so the first move isn't guessing, it's seeing what companies like yours are actually running. Sixteen real ones are below; the rest live in the app.
What "creative inspiration" looks like with real data
Most swipe files are one person's screenshots from an afternoon of scrolling, which tells you what caught one person's eye and nothing about what a category actually does at scale. AdPeekly's gallery is drawn from the whole tracked corpus instead: 266,919 published ads across 649 companies, deduplicated so a design running in eight variants counts once rather than eight times, which is the difference between 266,919 and 100,659. That distinction matters for inspiration specifically: a gallery of 200 ads that turns out to be 40 ideas in five variants each teaches you five things, not two hundred.
Below are sixteen of those distinct creatives, spread across formats and companies so no single format dominates the view. Each one carries the company it ran under and the ad type, and is real, published, review-passed advertising, not a mockup or a template. The rule for how duplicates get collapsed is written out at /methodology#deduplication.
Sixteen real ads to start from
A subset of the same forty-creative set shown on the LinkedIn ads examples page, selected deterministically rather than curated by hand, so this set doesn't reshuffle between updates.
















Where the real filters live
This page is a static sample on purpose: it's the same frozen-snapshot pattern every AdPeekly SEO page uses, not a live query surface. Filter by industry, company size, funding stage and more inside the full app, where the same filters run against the live, continuously growing dataset instead of a sixteen-ad sample. That's also where variants collapse automatically, boards save the ones worth keeping, and export turns a shortlist into a swipe file.
See also
Inspiration is only half the picture without knowing who's behind an ad and whether it worked. See the company context behind these ads for what industry, funding stage and company size add to a creative, or find the ones companies keep running if what you actually want is proof an idea worked, not just an example of it.
Sixteen ads is a sample. 100,659 creatives is the library.
Open the full app and filter by industry, company size, funding stage and more, or connect the MCP server and ask an assistant you already use to pull the ads for you. Free tier covers 3 searches a day, no card required.
No card for the free tier. Full tool reference at /mcp.
Questions about finding creative inspiration on LinkedIn
It means looking at what other B2B companies are actually shipping, not guessing from a blank page. AdPeekly tracks 266,919 published LinkedIn ads from 649 curated B2B companies, deduplicated down to 100,659 distinct creatives once near-identical variants of the same idea are collapsed into one. Browsing that set surfaces real headlines, real offers and real formats a category is running right now, which is a faster starting point than a blank brief and a more honest one than a single competitor's screenshot. The goal isn't to copy an ad; it's to see the pattern several companies converged on independently, which is usually a stronger signal than any one ad alone.
Not on this page. What's below is a static sample: sixteen real creatives, one per format and company where possible, pulled from the same dataset every other AdPeekly page draws from. The real filters, industry, buyer ICP, company size, funding stage, ad type, variants and more, live inside the full app, where they run against the live dataset instead of a frozen snapshot. That's a deliberate split: a public page claiming to filter live data it doesn't actually query would be the kind of trust problem worth avoiding, so this page describes the in-app filters rather than faking them.
AdPeekly runs a continuous scraper against a curated list of 649 B2B companies, so the underlying dataset grows every day. This page's own gallery is a frozen snapshot refreshed periodically, same as every other SEO page on the site, because a page rendered for search engines and AI assistants needs a stable, citable set of numbers rather than one that changes on every visit. The full, current dataset is what the in-app library and the MCP server both query live.
Start from what's already working
266,919 published ads, 100,659 distinct creatives, filterable by industry, format and company inside the app.
See pricingData verified September 28, 2026. Compiled by Daniele Viero, founder of AdPeekly. How it is collected: methodology.