Magic Mango

Teams use Magic Mango to keep day-to-day ad research and creative planning in one workflow. Start by adding the brands you care about—your own accounts, competitors, or market leaders—and let the system keep collecting their current ads as they change over time. Instead of chasing links in chats, you open the library to see what’s running right now, then save the most relevant examples to a shared board for the project.

During planning, the board becomes a working space. Teammates tag ads by angle, audience, offer, and format, leave comments on what to borrow or avoid, and quickly narrow options for the next concept sprint. When an ad looks promising, you drop it into the AI chat to pull out a usable script, spot the hook and key beats, and map the structure into a template your team can rewrite. This is useful for turning scattered inspiration into a draftable brief, a set of variants, or a repeatable framework for future launches.

For competitive reviews, Magic Mango helps you scan large collections fast by filtering to specific styles or messages, then exporting high-resolution assets for deeper internal critique, client decks, or creative reviews. The practical outcome is a tighter loop from discovery to analysis to iteration: find what’s working in the market, document decisions with the team, and turn patterns into new ads without losing context.