Comparison
AdPeekly vs. Swipekit
Swipekit is a swipe-file browser extension: it helps you save ads you've already found on Meta, TikTok or LinkedIn's own Ad Library into one organized library. It doesn't run its own crawl, so its LinkedIn coverage only extends as far as someone saves an ad before it disappears. AdPeekly runs that crawl automatically, on a schedule, so nothing has to be caught by hand.
Feature comparison
| What you want | Swipekit | AdPeekly |
|---|---|---|
| Where LinkedIn ads come from | –Saved by hand from LinkedIn's own live Ad Library | 649 companies crawled on a schedule, automatically |
| Ads that already left LinkedIn's own tool | –Only what someone saved before it disappeared | 266,919 kept regardless |
| B2B firmographic context | –Creative, copy and advertiser name, no funding stage or size | Funding stage, company size and buyer ICP on every ad |
| Team swipe-file and shared libraries | Swipefile, Brand Tracker, Multiplayer (1M+ shared ads) | Saved boards, plus an MCP server for AI assistants |
Who each tool is actually for
Swipekit is built for agencies and paid-social teams who are already browsing ads across several platforms and want one place to save, tag and share what they find, with a 1M+-ad shared library on top for browsing what other users have saved. If the workflow is "I already found a great ad, now I need to keep it," Swipekit is the right shape of tool.
AdPeekly is built for the step before that: finding the ads in the first place, without relying on someone catching each one manually before LinkedIn drops it. Every one of 266,919 published ads is crawled automatically, kept after the campaign ends, and enriched with funding stage, company size and buyer ICP, the context a B2B evaluator filters by that a saved screenshot doesn't carry with it.
What AdPeekly is, in one paragraph
AdPeekly is a research library of B2B LinkedIn advertising: 266,919 published ads from 649 curated B2B companies, each one kept after the campaign ends, stamped with the date it was first and last seen running, and searchable across the whole dataset at once by industry, funding stage, company size and format. See how it's collected at /methodology.
Nobody has to catch it in time. AdPeekly's crawl already did.
Open the web app and filter LinkedIn ads by industry, funding stage and observed duration, or connect the MCP server and ask an assistant you already use. The free tier covers 3 searches a day with no card.
No card for the free tier. Full tool reference at /mcp.
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Questions about AdPeekly and Swipekit
It saves from LinkedIn's own Ad Library, it doesn't run an independent crawl of it. Swipekit is a Chrome-extension swipe-file tool (checked on swipekit.app, 28 September 2026): you or a teammate find an ad on Meta's Ad Library, Instagram, TikTok, TikTok Creative Center, TikTok Ad Library or LinkedIn's own Ad Library, then save it into Swipekit before it disappears. That means Swipekit's LinkedIn coverage inherits LinkedIn's own tool's core limit: if nobody catches an ad before the campaign ends, it's gone from both places. AdPeekly runs the crawl automatically, on a schedule, across a curated list of B2B companies, so nothing has to be caught by hand.
Swipekit offers a free trial to start, and current pricing tiers are worth checking directly on swipekit.app since they can change independently of this comparison. AdPeekly's free tier is MCP-based: a fixed number of searches a day against the full published LinkedIn dataset, no card required, meant for querying through an AI assistant rather than a browser extension.
If the goal is catching every LinkedIn ad a set of competitors runs without manually saving each one before it disappears, that's a different tool shape than a swipe-file extension. AdPeekly runs the discovery itself: 266,919 published ads from 649 curated B2B companies, crawled on a repeating schedule and kept after the campaign ends, each one enriched with funding stage, company size and buyer ICP. Swipekit's swipe-file and team-sharing tools remain useful for organizing whatever ads you do want to keep by hand, the two solve adjacent but different problems.
Swipekit is a curation tool: it helps you save and organize ads you've already found across several platforms, including LinkedIn's own Ad Library, into one shared swipefile your team can browse. AdPeekly is a discovery tool: it runs the LinkedIn crawl itself, across a curated list of B2B companies, so ads are archived automatically rather than only when someone remembers to save them. The two aren't really competing on the same axis, one organizes what you find, the other finds it for you, at LinkedIn-only depth with the funding stage and company size context a swipe-file extension doesn't track.
See a LinkedIn archive nobody had to save by hand
266,919 published ads from 649 curated B2B companies, every one dated and searchable by funding stage.
See pricingData verified September 28, 2026. Compiled by Daniele Viero, founder of AdPeekly. How it is collected: methodology.