GEO/AEO Experimentation Specialist at Cloudinary – London, Kentucky

We’re looking for a hands-on GEO/AEO Experimentation Specialist to drive our presence across AI-powered search engines and large language models. This is not a strategy role, you will be shipping experiments every week, measuring results, and iterating fast.

Your mission is to increase our brand’s visibility and citation frequency in AI engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews through a disciplined experimentation program. You’ll run at least 5 experiments per week and demonstrate measurable progress on a weekly cadence.

If you’re someone who loves tinkering, automating, and shipping fast, and you’re excited about the frontier of how AI engines discover and recommend content, this role is for you.

• Design, execute, and document 5+ experiments per week aimed at improving AI engine visibility (ChatGPT, Gemini, Perplexity, Google AI Overviews, etc.)

• Develop and test strategies for inclusion in third-party listicles, roundup articles, and recommendation content that AI engines frequently cite, based on our framework.

• Create, rewrite, and optimize content specifically structured for LLM consumption.

• Build and manage outreach workflows to website owners, bloggers, and publishers to secure brand mentions and backlinks in AI-relevant content.

• Craft and manage posts, forum contributions, and community content designed to influence AI training data and retrieval signals.

• Automate repetitive experimentation workflows using Python scripts, APIs, and third-party tools to maximize output velocity.

• Track and report on experiment outcomes weekly, documenting what moved the needle and what didn’t.

• Stay current on how major AI engines source, rank, and surface content, and translate those insights into new experiment hypotheses.

Must-Have Skills

• Technical mindset with a strong bias toward action and experimentation over lengthy planning

• Working proficiency in Python: able to write scripts for scraping, data processing, API integrations, and automation workflows

• Hands-on experience working with APIs (REST APIs, webhooks, third-party integrations)

• Solid understanding of automation basics. Comfortable with tools like Zapier, Make, or custom-built pipelines

• Strong content creation instincts: able to write, rewrite, and structure content for different platforms and formats with LLMs.

• Self-directed and highly organized; able to manage a high volume of parallel experiments without losing track.

• Clear written communication: experiment logs, outreach emails, and weekly reports should be sharp and concise