Analyst, Generative Engine Optimization (GEO) – Analytics + Intelligence Group

OverviewCoyne PR is seeking an Analyst to join its Analytics + Intelligence Group, with a primary focus on advancing the agency’s Generative Engine Optimization (GEO) capabilities. This role centers on understanding, measuring and improving how brands are discovered, interpreted and recommended within AI-driven platforms such as ChatGPT, Claude and other large language models.As search behavior rapidly shifts toward generative experiences, this role will be instrumental in helping clients win visibility in AI-generated outputs. The Analyst will lead efforts to evaluate brand presence within LLMs, uncover the drivers of AI visibility and translate insights into actionable communications strategies.This is a unique opportunity to operate at the forefront of a new communications discipline, helping define how brands show up in an AI-first landscape. The ideal candidate brings strong analytical rigor, strategic thinking and a deep curiosity about how AI is transforming discovery, influence and reputation.Key ResponsibilitiesGenerative Engine Optimization (GEO) – Core FocusAnalyze and measure brand presence across leading AI platforms (e.g., ChatGPT, Claude, Gemini)Evaluate LLM-generated responses for:Inclusion frequency and consistencySource attribution and citation patternsCompetitive positioning within responsesAccuracy, sentiment and message pull-throughConduct structured prompt and query analysis to understand how brands surface across different AI contextsIdentify gaps in authority signals, content ecosystems and messaging that impact AI visibilityDevelop clear, actionable recommendations to improve brand inclusion, credibility and prominence in AI-generated outputsAI Visibility Strategy & ApplicationTranslate GEO insights into strategic recommendations that inform:Content strategy and developmentMessaging architectureEarned media and thought leadership programsDigital authority and credibility buildingPartner with account teams to embed GEO principles into campaign planning and executionHelp shape integrated strategies that align traditional media, search and AI discoveryMeasurement & AnalyticsDesign and execute measurement frameworks specific to GEO and AI visibilityTrack and analyze performance across:AI platforms (primary focus)Search ecosystems (supporting)Earned and social media (as inputs into AI visibility)Identify trends, correlations and drivers that influence brand inclusion in LLM outputsBuild reporting systems that clearly communicate GEO performance and impactGEO Methodology DevelopmentContribute to the evolution of Coyne PR’s GEO frameworks, tools and best practicesSupport the development of repeatable approaches for:AI visibility auditsPrompt testing methodologiesCompetitive benchmarking in LLM environmentsStay current on advancements in AI platforms and evolving discovery behaviorsProject Leadership & ExecutionLead GEO-focused audits, analyses and reporting initiativesDevelop client-ready deliverables including reports, dashboards and presentationsManage multiple workstreams related to AI visibility and analyticsTeam DevelopmentProvide guidance and oversight to junior team membersHelp upskill the team on GEO concepts, tools and methodologiesQualifications3 to 5 years of experience in analytics, digital strategy, SEO or marketing intelligenceDemonstrated ability to translate complex data into clear strategic recommendationsHands-on experience with AI tools and LLM platforms (e.g., ChatGPT, Claude) strongly preferredExperience with:Search and SEO platformsSocial listening and media measurement toolsWebsite and campaign analyticsStrong understanding of how content, authority and credibility influence discoverabilityExcellent project management and organizational skillsAbility to manage multiple priorities in a fast-paced environmentMust be a U.S. citizenPreferred QualificationsExperience in an agency environmentFamiliarity with emerging AI discovery ecosystems and their impact on brand visibilityUnderstanding of how earned media, content and digital signals influence LLM outputsStrong interest in AI, search evolution and the future of communications