How it works
The simplifier runs two passes. First, a regex-based rewrite pass cuts or replaces 30+ filler phrases and weasel attributions against a curated dictionary. Second, a sentence-level analyzer flags long sentences, passive voice, stacked hedges and wordy phrases sentence by sentence - so you can see exactly where to cut.
Why this lifts AI citations
- Short sentences embed better - retrieval embeddings carry one idea per vector; long sentences dilute the signal.
- Hedge words read as uncertainty - assistants penalise content that hedges on factual claims.
- Weasel attributions waste a slot - "experts say" signals nothing; a named source turns the same claim into a gold-star citation.
- Filler dilutes density - every cut filler word raises facts-per-word, which is the actual citation signal.
Pair with
Measure the before-after with the Content Clarity Analyzer and the Information Density Checker. Then run the cleaned copy through the Citation Optimizer to see the lift. Full playbook: content-to-cite guide.