Responsibilities

• Building and maintaining a structured prompt panel to test and track brand visibility and citations across AI platforms.
• Evaluating and recommending tools for prompt panel management, response capture, and analysis.
• Running quality assurance on response data, flagging inconsistencies, tool errors, or gaps that would compromise the accuracy of findings.
• Designing and building dashboards that make performance and trends clear and actionable for both agency and client stakeholders.
• Designing and running experiments to test hypotheses and isolate what actually drives changes in visibility.
• Analyzing experiment and panel results and translating findings into clear recommendations.
• Documenting measurement methodology and QA processes so the system is repeatable, defensible, and can transfer to the client team over time.
• Partnering with agency and client stakeholders to align on what's being measured and why, and socializing findings as needed.

Requirements

• Must-have: Hands-on experience measuring AI search or AEO/GEO performance: prompt testing, citation and share-of-voice tracking, or LLM response analysis.
• Must-have: Experience building and maintaining measurement or reporting systems (dashboards, tracking panels, or similar) in an analytics or research context.
• Must-have: Strong data QA instincts. You're comfortable auditing outputs for accuracy and catching errors before they reach a report.
• Must-have: Experience designing and analyzing experiments, whether A/B testing or similar comparative analysis.
• Must-have: Proficiency with dashboarding and BI tooling, and comfort working with structured data.
• Must-have: Clear written and verbal communication for translating technical findings into recommendations non-technical people can use.

Preferred

• Background at an agency or platform delivering AEO or GEO as a service.
• Technical SEO experience, particularly around structured data and content structuring for retrieval.