How to improve your burstiness score

Of all the signals AI detectors use, burstiness is the easiest to understand and the easiest to fix. It only measures one thing: how much your sentence lengths vary.

What burstiness actually measures

Take any piece of writing and count the words in each sentence. If every sentence is between 15 and 20 words, then the variance of the word count is low, and the burstiness score will flag it. If sentences range from 4 words to 35 words, the variance is high, and the score will pass.

Why does this matter? AI language models tend to produce sentences of uniform length. Ask ChatGPT to write a paragraph and measure the sentences; they'll usually cluster around the same length. Human writing tends to be more fragmented. It will have long, winding sentences that stretch across multiple clauses, picking up ideas and connecting them in ways that would make an editor twitch.

That messy variation is the signal and detectors call it burstiness.

How to check your burstiness

When you scan text in GPTypo, the signal grid shows a burstiness indicator. A checkmark means your sentence lengths vary enough to look human, a warning means they're too uniform.

You can also check manually by looking at your paragraph and identifying the shortest and longest sentences. If the difference is less than 10 words, you probably have a burstiness problem.

Four techniques to improve it

1. The short punch

After a long sentence, drop in something short. One sentence, maybe two words. This creates the kind of rhythmic contrast that detectors associate with human writing.

Also keep in mind you're not doing this for the detector; you're doing it because varied rhythm makes writing more readable. The detection benefit is a side effect of better prose.

2. Combine short sentences

If you have a run of short, declarative sentences (common in technical writing), combine two or three into a longer compound sentence using conjunctions or semicolons. This preserves your meaning while introducing length variation.

"The API returns JSON. It includes a status code. The response also contains a timestamp." becomes: "The API returns JSON with a status code and the response also contains a timestamp." Same information, better rhythm.

3. Use parenthetical asides

Dropping a parenthetical into the middle of a sentence (like this one) is a distinctly human habit. AI models rarely use parentheticals because they add complexity without adding predictable semantic content.

4. Break up your longest sentences

If you tend toward long, complex sentences (common in academic writing), look for places to split one sentence into two. This works in the opposite direction from technique #2, but the goal is the same - more variety in sentence length.

What not to do

Don't add random short sentences that don't serve the content. Detectors may not catch it, but your readers will. The goal is authentic variation, the kind that comes naturally when you're writing in your own voice, not performing for an algorithm.

The best burstiness score comes from writing that has a natural rhythm. Not forced variation, not mechanical alternation between short and long. Just writing that sounds like a real person talking about something they care about.

If you're editing for burstiness, focus on the flagged sentences specifically. GPTypo shows you exactly which sentences are contributing to a low burstiness score, so you can adjust those without rewriting everything else.

How much does burstiness matter?

Burstiness is just one of five signals that GPTypo tracks. On its own, a low burstiness score won't necessarily get your paper flagged, but combined with other signals (uniform vocabulary, low perplexity), it contributes to a higher overall detection score. Fixing burstiness often improves the other signals too, because varied sentence rhythm naturally introduces varied vocabulary and less predictable word choices.