Role & ResponsibilitiesAs a Senior AI Search Optimization Strategist, you will take ownership of AI Search strategy and execution for client websites, helping establish repeatable frameworks that improve visibility across traditional search and AI-powered discovery platforms.
You will act as a subject-matter expert for AEO, GEO and AI Search Optimization and will work closely with SEO, content, development and account management teams.
AI Search Strategy
- Develop comprehensive AI Search Optimization strategies for multiple clients and industries.
- Own AI Search audits, strategy development, implementation and measurement.
- Establish AI Search baselines and define KPIs for each client.
- Develop strategic query/prompt sets based on:
- Commercial intent
- Informational intent
- Brand queries
- Category queries
- Comparison queries
- Problem/solution queries
- Local queries
- Analyze competitor visibility across AI-powered search environments.
- Identify gaps in AI-generated recommendations, citations and brand mentions.
- Develop strategies to increase share of AI visibility and citation frequency.
- Translate AI Search developments into practical strategies for clients.
Current senior-level roles are increasingly emphasizing experimentation, AI citation performance and the ability to identify opportunities in a rapidly changing AI Search landscape. AI Search / LLM Visibility
- Develop strategies for improving visibility across:
- ChatGPT
- Google AI Overviews
- Perplexity
- Gemini
- Claude
- Microsoft Copilot
- Other emerging AI search platforms
- Analyze how different AI systems surface and cite sources.
- Identify patterns in competitor citations.
- Conduct citation-gap analysis.
- Develop strategies around content accessibility, authority, entities and information structure.
- Evaluate brand representation and accuracy in AI-generated answers.
- Identify opportunities where competitors are being cited and the client is not.
Advanced Entity & Knowledge Optimization
- Lead entity optimization strategies.
- Map important entities, attributes and relationships for clients.
- Improve consistency of brand/entity information across the web.
- Develop knowledge-graph strengthening strategies.
- Review structured data and entity relationships.
- Work with content and development teams to implement entity-focused improvements.
Content & Topical Authority
- Develop AI Search-focused content strategies.
- Identify topics and questions where clients have an opportunity to become authoritative sources.
- Create advanced content briefs designed for:
- Search engines
- Answer engines
- Generative engines
- AI retrieval systems
- Improve content structure for extraction and citation.
- Develop strategies involving original research, proprietary data, expert commentary and first-party information.
- Review content created by writers and provide AI Search-focused recommendations.
Technical AI Search
- Lead advanced technical audits focused on search and AI discoverability.
- Evaluate:
- Crawlability
- Indexability
- Rendering
- Information architecture
- Internal linking
- Structured data
- Schema
- XML sitemaps
- Robots directives
- Content accessibility
- Entity implementation
- Translate technical findings into developer-ready implementation tasks.
- QA implementation and validate results.
Experimentation & Proven ResultsThis should be one of the most significant sections of your senior role.
- Design and execute controlled AEO/GEO experiments.
- Establish pre-implementation baselines.
- Document exactly what was changed and why.
- Measure post-implementation impact.
- Identify repeatable strategies that produce measurable improvements.
- Maintain an internal database of successful AI Search experiments.
- Create case studies from successful implementations.
- Develop E2M's proprietary AI Search frameworks and methodologies.
Reporting & Client Strategy
- Develop AI Search performance reports for agency partners.
- Present AI Search findings and recommendations to internal teams and agency stakeholders.
- Translate complex AI Search concepts into practical business recommendations.
- Support proposals, AI Search audits and strategy development.
- Help account managers explain AEO/GEO opportunities to agency partners.
- Identify upsell opportunities based on AI Search gaps.
Must Have
- 4–6+ years of SEO / organic search / search strategy experience.
- At least 1–2+ years of meaningful hands-on AEO/GEO/AI Search experience preferred.
- Proven track record of personally implementing AI Search strategies.
- Candidates must be able to demonstrate specific before-and-after results.
- Deep understanding of:
- AI Search
- AEO
- GEO
- LLM SEO
- Semantic search
- Entity optimization
- Structured data
- Topical authority
- Search intent
- Strong technical SEO background.
- Strong understanding of how AI systems retrieve, evaluate, summarize and cite information.
- Hands-on experience across multiple AI Search platforms.
- Strong analytical ability and experience designing experiments.
- Ability to independently develop AI Search strategies rather than simply execute predefined tasks.
- Strong communication and presentation skills.
Preferred
- Experience managing AEO/GEO strategies for multiple websites.
- Experience working with agencies or multiple clients.
- Experience with US-market websites.
- Experience with enterprise or competitive niches.
- Experience with knowledge graphs/entity optimization.
- Experience with AI citation monitoring platforms.
- Experience developing AI Search SOPs/frameworks.
- Experience mentoring junior SEO/AEO professionals.