AI employer visibility
Observe whether your employer is named in open-market candidate questions and compare answer presence with talent competitors.
BrandScore platform
AI Employer Brand Intelligence
Understand how ChatGPT, Gemini, Claude and Perplexity represent your employer brand, whether you appear in candidate recommendation answers, and how your observed position compares with talent competitors.
What AI Employer Brand Intelligence means
Candidates can now ask AI platforms which employers to consider, what working for a named organisation may be like, and how employers compare. That creates an employer reputation channel beyond careers sites, job boards and review platforms.
BrandScore separates two different behaviours: open-market questions show whether an employer is named, while direct employer questions reveal the narrative each engine gives candidates. This distinction keeps AI employer visibility monitoring separate from employer narrative analysis.
Different from traditional brand tracking
Traditional employer brand tracking focuses on awareness, campaigns, careers-site engagement and reviews. AI recommendation visibility observes whether an employer appears when candidates ask open questions, then benchmarks that answer presence against employers competing for the same talent.
Direct-perception analysis then examines tone, recurring associations and supporting evidence without treating a mention as an endorsement.
What BrandScore measures
A connected view for Employer Brand, Talent Acquisition and HR leaders.
Employer narrative
Review what each monitored engine says when candidates ask directly about your organisation, including favourable, mixed and cautious claims.
Sources and citations
Identify the public sources, citations and recurring evidence that shape AI-generated employer answers.
Candidate Priority analysis
Understand observed answer presence and narrative patterns across the priorities that influence candidate choice.
Technical AI Readiness
Assess whether public employer content is accessible, structured and supported by evidence that AI systems can interpret.
Ongoing monitoring
Track changes across repeated measurements instead of relying on a one-off test that can quickly become outdated.
Evidence influences what AI can say
AI answers can draw on careers content, reviews, third-party publications, structured data and other publicly available sources. BrandScore examines the citations and evidence visible in those answers so teams can distinguish an intended employer narrative from what external sources reinforce.
This is the practical role of generative engine optimisation for employer brands: improving the clarity, consistency and accessibility of credible public evidence, then observing whether answers change over time.
Why ongoing measurement matters
AI-generated answers can vary by engine, prompt, market and date. Ongoing monitoring reveals changes and persistent patterns that a one-off check can miss, while talent competitor benchmarking gives each observation useful market context.
Technical AI Readiness complements this measurement by assessing whether the employer information available online is accessible and structured for machine interpretation.