Dissects every engine response for persuasive strategy — breaking down Ethos (credibility), Pathos (emotion), and Logos (logic) with exact quotes, an effectiveness score, and improvement suggestions.
How it works
Rhetorical Analysis applies the classical framework of rhetoric — developed by Aristotle and still taught in every college composition course — to AI-generated responses. After the primary engines deliver their answers, the selected judge examines each one as a persuasive artifact, asking not just 'Is this correct?' but 'How is this trying to convince me?'. It evaluates three core dimensions:
Ethos — Credibility: Does the response cite authoritative sources, use confident expert language, or acknowledge its own limitations to build trust?
Pathos — Emotion: Does the response use emotionally resonant language, vivid examples, or narrative framing to create engagement or urgency?
Logos — Logic: Does the response rely on evidence, structured reasoning, statistics, or logical argument to build its case?
Rhetorical Situation: Who is the intended audience, what is the apparent purpose, and how well-timed is the response (kairos)?
Overall Persuasion Score: A balance assessment showing which appeals dominate, where the response is weakest, and specific suggestions for improvement
The output is a structured analysis card with color-coded appeal breakdowns (Ethos = blue, Pathos = red/orange, Logos = green), exact quotes as evidence, a per-engine score, and a cross-engine comparison table. Optional TTS readout lets you hear the full breakdown.