Responsibilities

• Build and formalize Orchestra's AEO Insights framework: Architect scalable, repeatable processes for analyzing search behavior across traditional SEO channels and emerging AI-driven discovery systems. Define methodologies, taxonomies and KPIs that standardize how insights are generated and applied across teams. Work strategically to ensure these frameworks inform platform development, internal tooling and new productized insight capabilities.
• Develop and continuously refine the AEO tool kit: Identify, evaluate and operationalize a suite of advanced analytics, LLM-powered platforms and search intelligence tools to support semantic analysis, intent clustering, SERP modeling and AI search monitoring. Partner with Analytics, Search and Product teams to co-develop integrated dashboards, automation workflows and internal utilities that scale across Orchestra's ecosystem and evolve with emerging AI search behaviors.
• Transform data into compelling insights & intelligence: Synthesize large, complex data sets into clear, actionable stories that elevate brand strategy, inform content ecosystems and guide decision-making. Present insights to senior client stakeholders with clarity, confidence and strategic precision.
• Integrate search intelligence into brand and communication strategies: Collaborate with integrated strategy, creative, insights, product and channel teams to embed AEO insights into brand positioning, messaging architectures, editorial planning and cross-channel activation. Ensure insights from Product-led tools and models are fully leveraged in strategic planning.
• Design measurement frameworks and intelligent reporting systems: Define how AEO effectiveness is measured across engagements. Build dashboards, reporting structures and analysis cadences that connect discoverability metrics to meaningful business outcomes and campaign performance. Work closely with the Product team to design reporting features, data models and measurement systems that reflect evolving AI search behaviors.
• Ensure technical and contextual readiness for AI-driven discovery: Oversee recommendations related to schema, structured data, content architecture and semantic alignment to ensure clients' digital ecosystems are optimized for both human users and AI retrieval models. Collaborate with the broader Search team to validate technical requirements, prioritize enhancements and inform platform-level optimizations.
• Support innovation in AI search intelligence: Stay at the forefront of emerging search and LLM technologies, experiment with new methodologies and guide the organization in adapting to shifting AI search behaviors. Train teams, publish internal frameworks and contribute to Orchestra's thought leadership in AI-driven discoverability. Pilot new tools, test prototypes and define future-facing capabilities that strengthen Orchestra's leadership in AI-powered search strategy.

Requirements

• 8–12 years of experience in SEO/AEO, digital strategy, or content intelligence, ideally in an agency or consultancy environment
• Deep expertise in search algorithms, structured data and semantic optimization
• Strong understanding of audience intent and narrative strategy
• Hands-on experience using AI and LLM tools (e.g., ChatGPT, Gemini, Claude, Perplexity) to inform strategy or workflows
• Ability to synthesize large data sets into clear, visual and actionable insights
• Experience productizing insights into scalable tools, frameworks, or platforms
• Familiarity with search tools (Ahrefs, SEMrush, Screaming Frog, Google Search Console) and emerging AI analytics platforms
• Strong analytical and problem-solving skills, with the ability to communicate complex ideas to non-technical audiences
• Excellent written and verbal communication skills
• Curiosity and vision for how search is evolving in an AI-powered ecosystem