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AI software recommendations shift with user context, but not for all markets

An experiment testing how AI models recommend software based on user context revealed that while AI engines like ChatGPT, Gemini, and Perplexity did not significantly alter their product recommendations for Amazon advertising software, they did show a notable shift when asked about CRM and call center software. The author had predicted that the AI's recommendations would remain largely unchanged for Amazon advertising software due to the lack of self-hosted options in that market, a prediction that held true for product list changes but failed regarding the mention of self-hosted solutions. AI

IMPACT Demonstrates how AI model responses can be influenced by specific user context, highlighting potential biases or limitations in their recommendation capabilities.

RANK_REASON The item is an analysis of an experiment conducted by the author, not a primary announcement or release.

Read on dev.to — LLM tag →

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

AI software recommendations shift with user context, but not for all markets

COVERAGE [1]

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

    I pre-registered a prediction that my own finding would fail on this market. The product list held; the advice did not.

    <p>This week I published a result I liked: adding a buyer's actual situation to a software buying question changes which products an AI engine names. It reproduced on a second market. Two markets, two hits, no misses.</p> <p>That is exactly the shape of a finding that is really a…