AI Search & Agentic Growth Specialist (LLM SEO)

Responsibilities

• Own CookieYes’s visibility in AI search: ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Overviews. Define how we measure it, then improve it.
• Build the measurement layer for LLM visibility: prompt sets, share-of-voice tracking, citation monitoring and competitor benchmarking, so this stops being anecdotal.
• Run generative engine optimisation in practice: content structure, entity and schema markup, extractable formatting, and the freshness signals that make a page quotable.
• Identify which third-party sources LLMs cite in our category, and work with content, PR and partnerships to earn placement in them.
• Work with product and partnerships on distribution inside AI ecosystems, including MCP servers, connector directories and plugin marketplaces, and on integrations with AI website builders.
• Build agentic workflows for the growth team: competitor and regulation monitoring, content research and briefing pipelines, review and approval flows, reporting automation, and internal tooling that removes manual work.
• Evaluate and integrate AI tooling across the growth stack, and set the guardrails: what gets automated, what stays human-reviewed, and how we check output quality.
• Keep the traditional SEO fundamentals intact. AI search sits on top of technical health, internal linking and topical authority, not instead of them.
• Report on AI-sourced traffic, assisted signups and share of voice, and tell the team plainly what is working and what is noise.

Requirements

• 3+ years in SEO, content strategy or growth engineering, with demonstrable recent work on AI search, GEO, AEO or LLM visibility.
• Hands-on experience building agentic workflows or automations with tools such as n8n, Zapier, Make, LangChain, or direct API and MCP integrations.
• Working knowledge of prompt engineering and LLM behaviour, including retrieval, grounding, citation patterns and why models hallucinate a competitor’s name.
• Solid technical SEO foundation: crawling, indexing, structured data, site architecture and Core Web Vitals.
• Comfort writing scripts. Python or JavaScript at the level needed to pull APIs, parse results and build a monitoring job.
• The instinct to build measurement before making claims. This field is full of confident assertions with no data behind them.
• Clear written communication, and the honesty to say when an AI channel is not yet worth the investment.

Good to Have

• Experience with MCP servers, AI connector directories or plugin marketplace listings.
• Familiarity with tools such as Ahrefs Brand Radar, Profound, Peec AI or similar AI visibility platforms.
• Background in B2B SaaS, developer tooling or a technical product category.
• Experience with digital PR or link earning as a route to citation.
• Understanding of privacy and compliance as a subject area.