A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Read more →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Read more →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Read more →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Read more →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Read more →

Multiple sources, including AI chatbots and veteran DJs, discuss the qualities that define a catchy song. AI‑generated lists from ChatGPT, Gemini, and Microsoft Copilot highlight tracks like "Wannabe" by the Spice Girls, "Uptown Funk," and "Shape of You." DJs Mark Pomeroy and Sloan Lee share their on‑the‑floor experience, noting the importance of beats per minute, emotional connection, and social‑media trends such as TikTok. Across both AI and human perspectives, the consensus points to simple hooks, strong rhythms, and cultural relevance as key ingredients of ear‑worms that keep audiences moving. Read more →