A growing share of the people who need a consent management platform now ask an AI assistant instead of a search engine. They ask ChatGPT how to comply with GDPR, they ask Claude to add a cookie banner to the site it just built, and they read an AI Overview instead of clicking a result. CookieYes intends to be the answer in those places.
This role has two halves. The first is AI search visibility: getting CookieYes recommended, cited and integrated across LLM surfaces. The second is agentic automation: building the AI workflows that let a small growth team operate like a much larger one. We are looking for someone who is genuinely hands-on with both.
RESPONSIBILITIES
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Own CookieYes’s visibility in AI search: ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Overviews. Define how we measure it, then improve it.
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Build the measurement layer for LLM visibility: prompt sets, share-of-voice tracking, citation monitoring and competitor benchmarking, so this stops being anecdotal.
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Run generative engine optimisation in practice: content structure, entity and schema markup, extractable formatting, and the freshness signals that make a page quotable.
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Identify which third-party sources LLMs cite in our category, and work with content, PR and partnerships to earn placement in them.
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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.
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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.
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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.
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Keep the traditional SEO fundamentals intact. AI search sits on top of technical health, internal linking and topical authority, not instead of them.
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Report on AI-sourced traffic, assisted signups and share of voice, and tell the team plainly what is working and what is noise.
REQUIREMENTS
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3+ years in SEO, content strategy or growth engineering, with demonstrable recent work on AI search, GEO, AEO or LLM visibility.
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Hands-on experience building agentic workflows or automations with tools such as n8n, Zapier, Make, LangChain, or direct API and MCP integrations.
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Working knowledge of prompt engineering and LLM behaviour, including retrieval, grounding, citation patterns and why models hallucinate a competitor’s name.
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Solid technical SEO foundation: crawling, indexing, structured data, site architecture and Core Web Vitals.
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Comfort writing scripts. Python or JavaScript at the level needed to pull APIs, parse results and build a monitoring job.
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The instinct to build measurement before making claims. This field is full of confident assertions with no data behind them.
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Clear written communication, and the honesty to say when an AI channel is not yet worth the investment.
GOOD TO HAVE
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Experience with MCP servers, AI connector directories or plugin marketplace listings.
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Familiarity with tools such as Ahrefs Brand Radar, Profound, Peec AI or similar AI visibility platforms.
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Background in B2B SaaS, developer tooling or a technical product category.
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Experience with digital PR or link earning as a route to citation.
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Understanding of privacy and compliance as a subject area.
