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AI software recommendations heavily depend on prompt wording, not engine choice

By PulseAugur Editorial · [1 sources] ·

An experiment revealed that the wording of a prompt significantly impacts the AI's software recommendations, more so than the AI engine itself. When testing CRM software recommendations, changing the phrasing of the question led to entirely different top-ranked products, while switching the AI engine resulted in only minor variations in the top ten. This suggests that AI recommendation leaderboards are more reflective of prompt engineering families than actual market consensus. AI

IMPACT Highlights the critical role of prompt engineering in obtaining reliable AI-generated recommendations.

RANK_REASON Analysis of AI recommendation behavior based on experimental data.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI software recommendations heavily depend on prompt wording, not engine choice

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Commentary
Analysis of AI recommendation behavior based on experimental data.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, other
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High
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78 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Lana Plouffe ·

    Changing the AI engine moved 3 of 10 results. Changing the question moved 10 of 10.

    <p>I publish free leaderboards of which products AI answer engines name when someone asks them to recommend software in a category. The method is deliberately boring: take one buying question, write it 44 different ways, ask every engine all 44, count every product named across t…

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