Support the delivery of AI Visibility Audits, a new-generation diagnostic that evaluates how brands are represented, surfaced, and cited across AI platforms such as Google AI Overview, ChatGPT, and Gemini.
Translate category-level research into a structured query map that mirrors how real users interact with AI platforms.
Systematically analyze brand presence across AI-generated responses, structured across three core dimensions.
Identify topic-level performance gaps and prioritize by business impact.
Propose actionable recommendations across content strategy, authority building, and platform prioritization.
Validate that prompts are non-duplicative, intent-accurate, and structurally consistent before any insight is drawn.
Requirements
4+ years in SEO, Search Strategy, or Content Strategy
Strong understanding of search intent, keyword behavior, and SERP dynamics
Ability to interpret data beyond what it shows and articulate what it means for a brand's positioning and decisions
Proven ability to structure complex findings into clear, logical narratives that non-technical audiences can understand and act on
Comfortable working with large datasets including keyword lists, prompt libraries, and LLM output logs
Able to build or meaningfully contribute to presentation-ready outputs with minimal supervision
Proficient in Google Sheets or Excel for data structuring; familiar with SEMrush, Ahrefs, or equivalent SEO research tools
Nice to Have: Experience analyzing AI-generated search outputs across platforms such as Google AI Overview, ChatGPT, Gemini, or Perplexity
Understanding of how LLMs retrieve, rank, and attribute sources, not just what they output
Experience with prompt construction for research, auditing, or data generation purposes
Familiarity with automation approaches for scaling prompt generation or clustering large keyword sets, such as Airops, APIs, or Python-based workflows
Multi-market or localized SEO experience, particularly across APAC markets
Tech Stack
Python
Benefits
Potential for ongoing engagements based on performance