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    Recommendation Intelligence

    What 21,500 AI answers tell us about how AI engines interpret employer brands

    Four months of measurement across ChatGPT, Claude, Gemini and Perplexity — and what the answers reveal about recommendation, sources and EVP treatment.

    ·9 min read·By Steve Gard
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    TL;DR

    This analysis of roughly 21,500 candidate-style answers across more than 130 employers examines discovery, narratives, competitor presence and cited sources. The central lesson is to measure those behaviours separately and inspect their evidence: visibility, favourable wording and citations are not proof of employee experience or causation.

    01 · Market insight

    Candidates are asking AI which employers they should consider, who offers the best career opportunities and what it is really like to work for a particular organisation.

    But what determines which employers AI recommends?

    And how accurately does AI represent what an employer wants candidates to know?

    Over the past four months, BrandScore has analysed more than 130 employer brands across ChatGPT, Claude, Gemini and Perplexity.

    We gathered 21,500 answers to candidate-style questions and tracked:

    • Which employers AI recommended
    • Which competitors appeared alongside them
    • How each AI engine described the employer
    • Which sources supported its answers
    • Whether EVP statements were supported, missed or contradicted
    • How the answers changed over time
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    • Full top 20 employer ranking with mentions and presence index
    • Answer presence vs sentiment alignment analysis
    • Where competitor narratives are diverging from observed perception
    • Practical implications for talent acquisition and employer brand teams
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    Recommendation Intelligence
    Research
    AI Visibility
    Sources
    EVP
    Executive
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