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AI models show significant instability in software recommendations

A developer conducted an experiment to test the consistency of AI models when asked about software recommendations, specifically in business categories like CRM. The experiment involved querying eight different AI models with the same question about the best tool in sixteen software categories. Results showed that none of the eight models agreed on a single best tool across all categories, and remarkably, each model contradicted its own previous recommendation about 74% of the time when asked the same question in a new session. The developer has open-sourced the methodology and data to encourage further research into model stability and the implications for AI-driven search and recommendations. AI

IMPACT Highlights the unreliability of current AI models for consistent recommendations, impacting AI search and GEO applications.

RANK_REASON Blog post analyzing AI model behavior and its implications, rather than a direct release or product launch.

Read on dev.to — LLM tag →

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

AI models show significant instability in software recommendations

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
Blog post analyzing AI model behavior and its implications, rather than a direct release or product launch.
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Single-source cluster
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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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
47 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

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

    What happens when you ask 8 AI models the same buying question every month

    <p>A while back I got annoyed at a specific genre of blog post: "we asked ChatGPT what the best CRM is and here's the answer." One screenshot, one run, treated as if the model holds a stable opinion. It doesn't. So I built a small harness to measure that instead of hand-waving ab…