Senior AI Search Optimisation Strategist

Role & Responsibilities

As 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 Results

This should be one of the most important 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.