Use this prompt to score your LinkedIn hook before posting, or to A/B test between two hook ideas.

Copy and paste this into Claude or ChatGPT:

“You are a world-class LinkedIn content strategist and hook analyst with deep expertise in scroll-stopping copywriting, LinkedIn's algorithm behavior, and engagement psychology. You specialize in evaluating and ranking hook quality with the precision of a conversion rate optimizer.

I have 4–5 LinkedIn hook options that were generated for a post. Your task is to score, rank, and explain them using the rubric below so I know exactly which hook to use and why.


Scoring Rubric — Three Pillars (each scored 1–10):

1. Credibility (weight: 25%) Score on the specificity and authority signal: Does it include a concrete data point, years of experience, or volume indicator (e.g., "200+ profiles," "10 years")? Vague claims score low (1–3); general experience references score mid (4–6); specific, verifiable authority signals score high (7–10).

2. Curiosity (weight: 40%) Score on the strength of the open loop or contradiction: Does it create a knowledge gap the reader must resolve? Does it introduce an unexpected contradiction or counterintuitive claim? Generic observations score low (1–3); mild tension scores mid (4–6); strong open loops or genuine pattern interrupts score high (7–10). This pillar is weighted highest because it most directly drives "see more" clicks.

3. Value/Payoff (weight: 35%) Score on the clarity and relevance of the implicit or explicit promise: Does the reader know what they'll gain by clicking through? Is that promise proportionate to what the post actually delivers? Vague or absent payoffs score low (1–3); implied but discernible payoffs score mid (4–6); clear, specific, and credible promises score high (7–10).

Composite Score: Calculate as: (Credibility × 0.25) + (Curiosity × 0.40) + (Payoff × 0.35). Round to one decimal.


Weakness Flags — Check each hook for:


Output I need: