From the Benly team. AdSpy.sh and Get MCP Ads are products built by the team behind Benly. Agentik is our exclusive partner bringing both together on a pay-per-use basis.
A swipe file can hold hundreds of ads and still leave a strategist with the same blank brief. The useful question is not simply whether a creative looks good. It is what the advertiser is trying to make the audience believe, how the ad supports that promise, and whether the approach is relevant to your own product.
We built AdSpy.sh to make that investigation easier to conduct and easier to keep. It is a product from the team behind Benly, centered on competitor creative research in AI assistants. Public ad discovery, available analysis and team context belong together, so the result of research can become a useful brief rather than another folder of unexplained references.
Why we built a dedicated creative research product
Performance marketing teams repeatedly move between two views of advertising. One looks inward at their own results. The other looks outward at the messages competing for attention in the same market. Both matter, but they involve different evidence. A competitor’s public ad can reveal its offer, visual language and argument. It cannot reveal the private economics behind the campaign.
AdSpy gives that outward-looking work a dedicated home. A researcher can start with a brand, a product or a phrase and ask an assistant to retrieve relevant creative. The follow-up can focus on an opening hook, a recurring objection or a format, rather than starting a new search from scratch. The research stays close to the question that motivated it.
That focus connects directly to Benly’s broader approach. We want competitive intelligence to inform creative decisions and eventually be checked against actual campaign performance. AdSpy deepens the first part of that process. It helps teams describe what they see clearly enough to decide what they want to test next.
Start your search with a research question
AdSpy’s public site describes searching Meta and Google ads together by brand, copy or tag. You can narrow the research by the supported platform, format, language, activity and creative attributes, and change the ordering to inspect newer or longer-running records. Those options are useful because each exposes a different part of the market rather than a universal list of the best ads.
A good sample follows the decision you need to make
If you are reconsidering an opening hook, prioritize comparable video formats and inspect the opening sequence. If you are investigating offer positioning, compare the claims, proof and calls to action across a small group of relevant brands. A highly constrained sample is often more useful than an enormous export whose records address different products, audiences and stages of awareness.
For example, an illustrative research request might be: “Find recent Meta video ads from these three skincare brands. Group the opening arguments, show the examples behind each group, and keep the claims about efficacy separate from the claims about convenience.” The deliverable is already defined. The assistant can search toward that deliverable and explain when the available sample is too thin.
Missing records need a coverage check
An empty result can mean that a brand is absent from the collected library, that a filter is too narrow or that processing is still underway. AdSpy supports finding advertisers on Meta or Google and requesting collection for a missing brand. Fetching involves a quote and a background process. Follow its progress and search again when it finishes; a request being queued does not establish complete coverage.
Read the creative, not just the thumbnail
An image grid is a starting point. To understand an ad, you need to inspect what happens inside it. AdSpy’s available creative analysis examines elements such as the hook, message, format and call to action. For video, a transcript can make the spoken argument much easier to compare across several examples. The media remains the reference against which the interpretation should be checked.
Useful analysis describes an observation precisely. “The creator shows the product before naming the problem” is more actionable than “strong UGC.” “The offer arrives after a demonstration” tells a creative team something about sequencing. Tags help locate comparable executions, while analysis explains why those executions belong in the same conversation.
| Research layer | What to inspect | Useful output |
|---|---|---|
| Opening | First claim, scene, speaker and product reveal | A concrete hook hypothesis |
| Argument | Promise, objection, demonstration and proof | The belief the ad tries to change |
| Execution | Format, pacing, visual treatment and voice | Production constraints worth testing |
| Action | Offer, call to action and destination promise | A clear next step for the viewer |
These layers help avoid copying surface details without understanding the mechanism. A borrowed camera angle rarely explains why an argument is relevant to an audience. The stronger brief identifies a concern, an appropriate proof point and an execution that the brand can credibly produce. Competitor references make that brief more specific without becoming the brief themselves.
Use Brand X-Ray to move from an example to a pattern
A single ad can be an exception. Brand X-Ray examines a brand’s creative together so recurring messages, hooks and formats become easier to recognize. It helps answer questions such as whether a brand repeatedly leads with the same problem, rotates several kinds of proof or presents one offer through different creative executions.
The important step is connecting every pattern to supporting examples. If a review says a brand emphasizes simplicity, ask which ads demonstrate that and how: fewer steps in a demonstration, shorter preparation time, or an explicit comparison with an alternative? Those are different strategic choices. Supporting examples make the analysis useful to a teammate who did not conduct the initial research.
Brand comparisons work best when the samples address similar markets and formats. Uneven coverage can make a brand with many collected videos appear more varied than one represented by a small image sample. Keep the sample scope visible and treat the review as a description of observed creative, not a complete explanation of the competitor’s business strategy.
Keep the context with collections and followed brands
The most valuable sentence in a swipe file is often the note explaining why an ad was saved. AdSpy supports shared collections and notes so a strategist can preserve the reason behind a reference. Organize a shortlist around the decision it informs: opening demonstrations, offer framing or objections to answer in the next campaign.
A useful collection note might say that the ad demonstrates scale before explaining the product, or places social proof immediately before the offer. The next person can then evaluate the idea without guessing what caught your attention. Research becomes reusable because the reasoning travels with the creative.
Following brands also supports an ongoing view of a category. Ask for newer records, compare them with previous references and look for a change in the observed message. A new creative does not establish why a business changed direction, but it gives your team a concrete signal to investigate. The assistant can keep that comparison connected to the collection you already built.
What creative longevity can and cannot tell you
Recorded running time can help prioritize ads worth inspecting. Repeated variants may reveal a message a brand continues to explore. Neither observation proves profitability. A public record does not establish spend, purchase volume, customer quality or the margin the advertiser needs to make the campaign worthwhile.
Keep observations, interpretations and test proposals separate. The observation might be that several collected ads use a product demonstration. The interpretation might be that the advertiser values showing the result early. The proposal might be to test an earlier demonstration in your own creative. Your own account data is what will eventually tell you whether that proposal improved performance.
That is where Get MCP Ads, our bridge to your authorized account data, complements AdSpy. One provides external creative context; the other helps you examine your own results. Combining them produces a better informed hypothesis while preserving the difference between competitor observations and measured outcomes.
Use AdSpy through our exclusive Agentik partnership
AdSpy’s direct plans serve teams that want ongoing access to the product. Our exclusive partnership with Agentik offers another route: supported AdSpy tools billed from your Agentik balance without a separate AdSpy subscription. It brings AdSpy together with Get MCP Ads in the same pay-per-use environment.
This route suits a conversation that moves from competitor search to creative analysis and then to authorized account reporting. Your assistant can discover the relevant tools and inspect their current prices before execution. Some calls are free, while others are metered according to the operation or consumption AdSpy reports. Ask for a bounded sample before expanding into a larger review.
Read the full story of our Agentik partnership for the distinction between tool prices, top-up fees, spending caps and account authorization. The shared balance simplifies access; the research method still determines the quality of the final recommendation.
A focused first research session
Start with a real brief, choose a small group of relevant competitors and write down one question you need answered. Retrieve a manageable sample, inspect the underlying creative and available analysis, then save the references that support a specific decision. Finish with a hypothesis you can test rather than a claim that a competitor has discovered a universal winning formula.
That is the job we built AdSpy to support: move from discovering an ad to understanding its argument, then carry that understanding into the team’s work. Visit AdSpy.sh to explore our creative research product and decide whether direct access or the Agentik pay-per-use route fits your workflow.
Product references checked October 22, 2026: AdSpy.sh, direct AdSpy plans and AdSpy’s Agentik tool catalog. Collection coverage and available analysis vary by record and source.
Explore the rest of the ecosystem
Read the companion stories to see how competitor research, your own advertising data and access through Agentik fit together.
- Agentik: Pay-Per-Use Tools for AI Assistants — How our exclusive Agentik partnership brings AdSpy.sh and Get MCP Ads to AI assistants, with metered tools, one prepaid balance and clear spending controls.
- Get MCP Ads: Connect Your Advertising Accounts to AI — Why we built Get MCP Ads: connect authorized advertising and analytics accounts to your AI assistant, review real performance and preview changes, with metered access through Agentik.
