TR Perception & Persuasion Analyst
Report webScores whether a message or positioning will build trust and persuade a Turkish audience using scientific frameworks, and produces a markdown report with audience-based verdicts and reframe suggestions.
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TR Perception & Persuasion Analyst
An analysis tool that uses scientific frameworks to score whether a position, message, or claim will generate trust, serious consideration, and genuine persuasion in a Turkish audience. It answers the question "When I say this, will the other person trust me, take me seriously, and actually be persuaded?" not through intuition, but through a framework-based lens.
What does it do? It scores the message across six dimensions (Hovland source credibility, Mayer's trust model — ability/benevolence/integrity, Persuasion Knowledge & reactance, similarity vs. authority, Hofstede TR cultural fit, status/authority gap) on a 0-10 scale. It separates audiences: the same sentence may build trust with a B2C peer audience while opening an authority gap with a B2B decision-maker; it evaluates each separately.
When is it used? Before a LinkedIn opener, sales pitch, personal-brand positioning, landing-page headline, or negotiation line goes live or into a presentation; to decide "does this phrasing strengthen me or undermine me?"
Output: A plain-Turkish markdown report — a dimension score table, audience-based verdict (strong-yes / conditional / backfire), backfire and strengthening conditions, concrete reframe sentences, and a machine-readable JSON summary. Where there is no TR-specific empirical evidence, it is transparently flagged as "theory transfer — validate with a field A/B test"; no fabricated statistics are produced.
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