Generative Engine Optimization Strategist

Go Fish Digital•Raleigh, NC

13d

About The Position

You’ll own AEO/GEO strategy for assigned accounts from kickoff through ongoing iteration, and you’ll be responsible for auditing and prioritizing owned-asset improvements across solutions pages, collections and category pages, PDPs/PLPs, help centers, and comparison pages. You’ll develop GEO content plans that align to defined persona cohorts and buyer-journey stages, while creating client-facing reporting and insights that clearly explain what changed, what worked, and what’s next. You’ll also identify cross-channel opportunities where SEO, content, PR, and paid efforts can reinforce generative visibility, and document and improve internal workflows, templates, and QA standards as the space evolves. You’ll be trusted with things that matter: strategic direction, performance interpretation, and client confidence in a space that’s still being defined. What your day-to-day will look like Strategy & Client Communication Explain how LLMs work (retrieval, ranking/selection behaviors, grounding/citations, reasoning limits) in a clean, comprehensive, non-jargony way for stakeholders. Set and defend strategic direction: what to build, what to fix, what to measure, and why. Linking GEO outcomes to business KPIs. Operate as a trusted advisor: lead client conversations, align expectations, and communicate wins/risks with clarity. Influence & Execution Using Owned Assets Improve solution pages and commercial landing pages to close buyer-journey gaps (use-case clarity, objections, proof, comparisons, FAQs, supporting entities). Create GEO-first content that outperforms baseline LLM understanding through structured, high signal coverage (clear definitions, constraints, examples, decision logic, pros/cons, edge cases, and “what to do next” guidance). Recommend and collaborate on structured data, internal linking, and content architecture that strengthens entity associations and retrieval-ready coverage. Persona, Semantic, and Journey Mapping with AI Tools Use tools like ChatGPT, Profound, and agentic workflows to: Build persona cohorts, buyer-journey maps, and prompt/intent taxonomies Produce semantic maps (topics → entities → questions → evidence) and prioritize coverage based on demand and business value Generate and refine prompt sets for tracking, benchmarking, and iteration Measurement, Learning, and Adaptation Track performance with a GEO measurement mindset (visibility, citation/carry-through, prompt coverage, conversion contribution), and translate findings into next actions. Work autonomously in an evolving landscape—staying ahead of changes in ChatGPT behavior, AI Mode, and model updates and adapting playbooks quickly.

Requirements

Strong understanding of modern search + LLM ecosystems (including how “answers” get formed and when citations appear)
Familiarity with technical SEO fundamentals (crawling/indexation, internal linking, structured data, canonicals)
Strong proficiency using AI tools (ChatGPT, Profound, and agentic environments) to accelerate research, mapping, and content systems—while maintaining quality control
eCommerce experience (PLP/PDP optimization, attribute-driven content, category taxonomy, merchandising alignment)
Demonstrated experience influencing outcomes through owned content/IA optimization (commercial + informational)
2-3 years of experience in prior SEO roles. 1 year of experience in generative roles preferred
Excellent analytical thinking: can turn messy inputs into a prioritized plan with measurable outputs
Experience building measurement frameworks (dashboards, tracking systems, prompt libraries, content QA rubrics)
Experience in an agency or consulting environment with client-facing ownership
Ability to translate technical concepts into clean, executive-ready communication
Comfortable working independently, iterating quickly, and making judgment calls in ambiguous situations

Responsibilities

Own AEO/GEO strategy for assigned accounts from kickoff through ongoing iteration
Audit and prioritize owned-asset improvements across solutions pages, collections and category pages, PDPs/PLPs, help centers, and comparison pages
Develop GEO content plans that align to defined persona cohorts and buyer-journey stages
Create client-facing reporting and insights that clearly explain what changed, what worked, and what’s next
Identify cross-channel opportunities where SEO, content, PR, and paid efforts can reinforce generative visibility
Document and improve internal workflows, templates, and QA standards as the space evolves
Explain how LLMs work (retrieval, ranking/selection behaviors, grounding/citations, reasoning limits) in a clean, comprehensive, non-jargony way for stakeholders
Set and defend strategic direction: what to build, what to fix, what to measure, and why. Linking GEO outcomes to business KPIs
Operate as a trusted advisor: lead client conversations, align expectations, and communicate wins/risks with clarity
Improve solution pages and commercial landing pages to close buyer-journey gaps (use-case clarity, objections, proof, comparisons, FAQs, supporting entities)
Create GEO-first content that outperforms baseline LLM understanding through structured, high signal coverage (clear definitions, constraints, examples, decision logic, pros/cons, edge cases, and “what to do next” guidance)
Recommend and collaborate on structured data, internal linking, and content architecture that strengthens entity associations and retrieval-ready coverage
Use tools like ChatGPT, Profound, and agentic workflows to build persona cohorts, buyer-journey maps, and prompt/intent taxonomies
Produce semantic maps (topics → entities → questions → evidence) and prioritize coverage based on demand and business value
Generate and refine prompt sets for tracking, benchmarking, and iteration
Track performance with a GEO measurement mindset (visibility, citation/carry-through, prompt coverage, conversion contribution), and translate findings into next actions
Work autonomously in an evolving landscape—staying ahead of changes in ChatGPT behavior, AI Mode, and model updates and adapting playbooks quickly