How it works
The agent finds your competitors
Working from your brand and website, Superscale discovers competitors through web search and reasoning, then ranks them by how directly they compete. You can add or remove any of them.
It pulls their live ads
Superscale surfaces the ads each competitor is running across ad libraries. You see real, in-market creative, not a stale swipe file.
Spot what's working
Browse and filter the feed to find hooks, formats, offers, and visual patterns that keep reappearing. Those repeats are the patterns worth testing.
Choose the right competitors
Direct competitors
Brands selling the same thing to the same buyer. Start here when the market is clear.
Same-league competitors
Brands with similar size, budget, visual quality, and channel maturity. These are often more useful than giants.
Inspiration sources
Brands outside your category that solve the same objection, trust problem, or value proposition.
How Superscale scores likely winners
Superscale assigns each surfaced ad a score from 0 to 100 using public behavior signals to estimate which ads are likely working for the advertiser. Higher-scored ads are the first ones to study, save, analyze, or recreate. Public ad libraries do not expose private ROAS, CPA, or conversion data, so the score reads the next best thing: advertiser behavior. Advertisers usually cut weak ads and keep expanding concepts they trust, so Superscale turns those public signals into a working estimate:- How long the ad has been running. A long run suggests sustained confidence.
- How many variations of the same concept the advertiser is running at once. Multiple cuts suggest the idea is being scaled.
- How widely the ad has reached. Broader reach suggests the advertiser put real distribution behind it.
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Use it on your own public ads
The same scoring pass can run on your own public ads in the ad library, even before an ad account is connected. It gives you a starting read from the outside; connected ad-platform data then confirms or corrects that read with private performance metrics.Treat the score as a strong hypothesis, not proof. It is inferred from public behavior, not private ROAS, CPA, or conversion data, and it does not guarantee the same ad will win for your brand. If you have connected Meta, lean on your real account data for your own ads.
What you can do in the research feed
Use the feed as a working surface, not just a gallery.Turn research into creative
A strong prompt is specific about what to keep and what to change:“Use this competitor ad’s structure: problem hook, fast proof, product demo, direct CTA. Replace the product, claims, visuals, and voice with our own brand context. Keep only the pattern.”
Common research questions
Should I copy competitor ads?
Should I copy competitor ads?
Copy the structure, not the brand. Learn from the hook, proof, pacing, framing, and offer, then translate those patterns into your own product and audience.
What if my direct competitors run bad ads?
What if my direct competitors run bad ads?
Add same-league or adjacent brands. Look for companies with similar buyer objections, price points, or trust problems even if they sell something different.
What if the agent suggests irrelevant competitors?
What if the agent suggests irrelevant competitors?
Manually add your list and tell the agent what to ignore: geography, enterprise brands, low-quality pages, marketplaces, or unrelated use cases.
Do competitor ads include historical winners?
Do competitor ads include historical winners?
Superscale starts from available ad-library data. If you have your own swipe file or past high-performing ads, add them as references so the agent can use them too.