6 Powerful Prompts to Reduce AI Detection Rate: Say Goodbye to All-Nighters Rewriting Theses

1 Term Replacement Prompt

Look out for high-frequency words with the potential to trigger similarity alerts (e.g., “affect”, “conduct”, “have”, “show”) and propose exact, academically suitable equivalents such as “influence”, “implement”, “exhibit”, and “reveal”. Mark terms specific to particular domains that cannot be changed at all(e.g.“GARCH model”,“institutional logic”), so no distortion of meaning will happen.

2 Sentence Structure Reorganization Prompt

Transform active voice sentences into passive voice, or vice versa. Example: “Firms improve performance through digital transformation” → “Performance improvement results from digital transformation.” Make sure it’s grammatically right and appropriate for methods & findings part.

3 Logical Structure Optimization Prompt

Rephrase simple coordinates, causal ambiguities, adding logical linkers. Example: “A occurs, B increases” → “Given the occurrence of A, B shows an upward trend, suggesting a potential positive relationship.” Reduces similarity while enhancing analytical rigor.

4 Mixed Long/Short Sentence Rewriting Prompt

Break up those complex sentences that are over 45 characters long into shorter ones, or combine several short sentences into a smooth compound sentence. Provide a before-after table of the syntactic change such as subordination clause merging and parenthetical insertion to be reviewed by human.

5 Paragraph Hierarchy Reconstruction Prompt

Keep the main content of a paragraph unchanged, but reorganize the internal logic of the paragraph (e.g., from “context-problem-method” to “method-problem-context”) or adjust its starting point (case-first vs. theory-first). Generate 2 versions that are structurally different for readability A/B test and similarity reduction:

6 Iterative Similarity Reduction Prompt

Round 1 – Structural adjustment: Conduct three cycles of iterative revisions on the same paragraph. First round - structural adjustment; Second round – Lexical substitution and elevation; Third round – logical polishing and condensation. Provide revision notes for every round with a final version that is semantically maintained, stylistically rejuvenated and fit for submission.