Competitor Ad Research Tool for Facebook & Instagram
Research any brand's Facebook and Instagram ads in an archive of millions of Malaysian Meta ads. Filter by industry, format, and run time, then create your own.
Updated July 2026 · Likit Sae Lee, CTO
A competitor ad research tool lets you see the Facebook and Instagram ads other brands are actually running, so you can learn from proven creative instead of guessing. AdPlay.ai maintains an archive of millions of Malaysian Meta ads across roughly 16,000 brands, searchable by industry, format, and how long each ad has been running. Because past creative stays in the archive even after campaigns end, you can study what a whole category has run, then use the same platform to generate, edit, and launch your own Facebook and Instagram ads.
How competitor ad research works in AdPlay.ai
AdPlay.ai maintains an archive of millions of Facebook and Instagram ads from the Malaysian market, covering roughly 16,000 brands. Instead of visiting one brand page at a time, you search across the whole archive and filter by industry, ad format, and how long each ad has been running. Run time is the signal most researchers care about: an ad that has stayed live for weeks is usually still earning its budget, while a large batch of near-identical ads launched on the same day often marks a testing round. The loop is simple. Search a brand, a category, or a theme. Filter down to the formats you plan to run, such as video or single image. Study the strongest examples and note the angles, hooks, and offer framing that keep showing up. Because past creative stays in the archive after campaigns end, you can look at what a category has run for months, not just what happens to be live today. Because the research library sits inside the same platform as AdGPT and the creative tools, the findings do not end up in a forgotten folder of screenshots. What you learn becomes direct input for the ads you make next.
Meta Ad Library vs an ad archive: what the free tool shows and what it leaves out
The Meta Ad Library is free and every advertiser should know it. It is a searchable database of the ads currently running across Meta technologies, and for political and social issue ads it goes further: those are kept for seven years, with spend and reach information disclosed. In the EU, ads are also archived for a year after their last impression. For a typical Malaysian commercial ad, though, the picture is narrower. The library shows ads while they are active, so when a campaign stops, the evidence disappears. There is no spend or performance data for ordinary commercial ads, and no way to filter by industry across brands. You can look at one brand at a time, today only. An archive changes the questions you can ask. Instead of "what is this brand running right now", you can ask "what has this category been running, which of those ads survived longest, and what do the survivors have in common". History and cross-brand filtering are the difference between checking on a competitor and actually learning from a market.
A concrete walk-through: researching before a campaign
Suppose you run a skincare brand and you are planning your next promotion. You start in the AdPlay.ai archive, filter to the beauty and skincare category in Malaysia, and narrow to video ads with the longest run times, since those are the ones brands kept paying for. Ten minutes of browsing shows you the recurring patterns: the hooks that open with a customer problem, the before-and-after structures, the offer framing local brands use during sale seasons. You shortlist the strongest ads, then ask AdGPT to summarize the angles and hooks across the set. From there you brief the AI generation tools, which produce ad images and copy grounded in your own brand kit, so the output uses your colors, products, and voice rather than imitating anyone. You tidy the visuals in the graphic editor, cut a short video with auto-captions in the video editor, and launch the finished ads straight to Facebook and Instagram. The whole cycle, from research to live ad, happens in one place. That is the practical payoff of an integrated archive: the distance between "I saw a great competitor ad" and "my version is live" shrinks from days to an afternoon.
Who competitor ad research is for
Small business owners running their own Facebook and Instagram ads get the most immediate value. If you have no creative team and limited budget, starting from what already works in your category is far cheaper than testing from zero. Freelance media buyers and agencies serving Malaysian clients use the archive differently: it compresses onboarding. Before the first client call, you can already know what the client's competitors are running, how long their ads have survived, and where the creative gaps are. Ecommerce sellers, including those selling through marketplaces, use it to spot which products and offer styles are being pushed hard in their niche. In-house marketing teams use it as a shared, always-current reference for what the market is doing, instead of screenshots scattered across chat threads. The common thread is the Malaysian market. Global inspiration galleries are full of ads built for other audiences. An archive of local ads shows how brands actually sell to Malaysian buyers, festive calendar and all.
Frequently asked questions
How is this different from the free Meta Ad Library?
The Meta Ad Library is free and worth using, but it is built for transparency, not research. It shows ads while they are active, and only political and social issue ads are stored long term, for seven years. For a typical Malaysian commercial ad, once the campaign stops, the ad is gone, with no spend or performance data and no way to filter by industry across brands. AdPlay.ai keeps an archive of millions of Malaysian Meta ads across roughly 16,000 brands, so past creative stays searchable, and adds filters for industry, format, and how long each ad has run.
Do I need a credit card to try it?
No. AdPlay.ai offers a 7-day free trial with no card required. During the trial you can search the archive, browse competitor ads, study the creative patterns in your category, and test the AI generation and editing tools end to end. That lets you see the research and production sides together before deciding whether AdPlay.ai fits how you work.
Do I need design or media buying experience?
No. The research side is a search and filter experience, similar to browsing a catalog of ads. When you move from research to production, AdGPT works conversationally, and the AI generates ad images and copy grounded in your brand kit, so you are editing and approving rather than designing from a blank canvas. The graphic editor handles common tasks like background removal, background replacement, and AI fill without needing separate design software.
Which platforms can I launch ads to?
AdPlay.ai launches ads directly to Meta, meaning Facebook and Instagram. That is the full scope by design: the research archive, the creative tools, and the launch flow are all built around Meta advertising rather than spreading across every ad network. If you run ads on other platforms, you can still use AdPlay.ai for research and creative production, then export your assets.
Does it support video ads?
Yes. Beyond researching video ads in the archive, AdPlay.ai includes a video editor with a timeline, AI voiceover, automatic captions, and MP4 export. That matters because captions and pacing are often what separate a watchable competitor video from a skippable one, and you can study those details in the archive before producing your own version.
Can I research brands outside Malaysia?
The archive is focused on the Malaysian market: millions of Meta ads across roughly 16,000 brands advertising to Malaysian audiences. That focus is deliberate. Ads that work in the US or Europe often miss local context like festive seasons, language patterns, and offer styles that Malaysian buyers respond to. If your customers are in Malaysia, a local archive is more useful than a global one padded with irrelevant examples.
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