🤣 I made a fake Lady Gaga Grammy video today in 2 minutes. It hit 327k+ views on TikTok
Last night the Grammys happened. I didn’t watch them. I don’t care about the Grammys. But I knew millions of people would be searching for Grammy content this morning. So I opened KlipZi and made this in about 2 minutes: Prompt: A random AI-generated celebrity in an over-the-top outfit, walking confidently… then falling over. Tagged it “Lady Gaga Grammy FAIL 🤣” Posted it to TikTok at lunch. Next thing in knew - 50K+ views (Edit: over 327K+) This is what I call “Trend Jacking.” You don’t need to actually attend events. You don’t need footage. You don’t even need to know what happened. You just need to know what people are searching for RIGHT NOW and create content around it. Here’s the formula: Step 1: Something big happens (Grammys, Super Bowl, election, celebrity drama, whatever) Step 2: Visit KlipZi.com and make something vaguely related Step 3: Tag it with the trending topic Step 4: Post it while the trend is hot (within 12-24 hours) Step 5: Let the algorithm do the rest Why this works: When something trends, millions of people are searching for content about it. TikTok, Instagram, YouTube - they all want to serve those people relevant videos. Your video doesn’t have to be REAL. It just has to be RELEVANT. The algorithm sees: • “Lady Gaga” • “Grammy” • “FAIL” And says: “People are searching for this. Let’s push it.” This isn’t some one-off lucky break. I do this constantly: → Taylor Swift releases an album? Make a “reaction” video with AI → iPhone launches? Create “iPhone 17 leak” style content → New AI tool drops? “ChatGPT vs [new tool]” comparison → Viral meme format? Remix it with AI visuals The pattern is always the same: Find the trend → Make AI content → Tag it → Post fast → Collect views The speed advantage: Traditional creators need: • Real footage • Editing time • Planning • Equipment AI creators need: • An idea • 3 minutes • A prompt By the time traditional creators finish editing their Grammy recap, the trend is already dying.