Music supervisors search for music differently than listeners do. They're not browsing — they have a specific scene, a specific feeling, a specific set of constraints, and they need to find a song that works in under an hour.
That means the songs that get placed aren't always the best songs — they're the songs that show up in the search. Here are the five features that actually drive that.
The most filtered-on feature in any sync library. Supervisors cut to picture — which means they often know exactly what BPM range works before they search. If your metadata doesn't include accurate BPM, you won't appear in those searches. Know your BPM for every song in your catalog.
Separate from tempo — a song can be slow and intense, or fast and laid-back. Energy describes the emotional intensity and production density. A simple 1-5 scale (1 = ambient background, 5 = stadium anthem) is enough. Most briefs describe energy even when they don't use the word: "driving," "cinematic," "understated," "punchy."
The feeling the song creates in the listener. This is what supervisors are actually selling to directors and editors — a scene needs to feel a certain way, and the music delivers that feeling. Tag your songs with 2-3 mood descriptors: "hopeful," "melancholic," "triumphant," "tense," "playful." Be specific — "emotional" is not a mood.
Often the deciding factor and the most overlooked tag. A song technically perfect for a brief — right BPM, right energy, right genre — will still get passed if the lyrics don't fit. "Moving on," "new beginnings," "heartbreak," "freedom," "falling in love" — these themes make or break a sync. Write a one-sentence lyric summary for every song you want to pitch.
"Pop" is not a genre for sync purposes. "Bedroom indie pop with lo-fi production" is. "Cinematic orchestral with female vocalist" is. Supervisors search by feel, not chart category — the more specific your genre tags, the more often your songs surface for the right brief.
Most songwriters who have been pitching for a while know these features matter. The problem isn't knowledge — it's that tagging 800 songs consistently and then actually querying those tags when a brief drops is tedious, error-prone, and slow.
The practical solution is software that reads your catalog automatically — extracting BPM, energy, and mood from the audio itself, transcribing lyrics with AI, and letting you search by brief description in natural language.
Point it at your music folder. It reads BPM, key, energy, mood, and transcribes your lyrics. Then paste any brief and get your best matches ranked. Mac app, $49 one-time.
Get Pitchkit →When you know exactly what features your songs have — and can search your catalog by those features instantly — pitching changes from a memory game to a process. You stop guessing. You stop missing. You respond to briefs in minutes instead of hours, and you send the right songs instead of the most memorable ones.
That's what consistent placements look like from the inside.