Research and analysis on AI employer visibility.
AI models draw from a specific set of platforms when answering candidate queries about employers. Most companies have presence on 2-3. AI cites 8-10. That gap determines whether you show up.
We ran candidate-intent queries across AI models to see which companies get named, which sources get cited, and where the biggest employer visibility gaps are. Here is what we found.
AI employer visibility is the degree to which a company appears and is accurately described in AI-generated responses to candidate queries. Here is what it means, why it matters for talent acquisition, and how to measure it.
Candidates move through four stages when using AI to evaluate employers: Discovery, Consideration, Evaluation, and Commitment. Visibility gaps at each stage create compounding pipeline loss.
A reference glossary defining the key terms of AI employer visibility, from mention rate and citation ecosystems to pipeline throughput leakage and visibility displacement.
