Marketing: AI Discoverability & Optimization Intern (Summer 2026)
CloudflareIn-OfficePosted 19 March 2026
Job Description
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available location: Austin, Texas
About the Role
We are looking for a forward-thinking AI Discoverability Optimization Intern to join our Web Strategy team within Corporate Marketing. As search behavior shifts from traditional engines to Generative AI and Coding Agents, our brand must be where the users are. You will sit at the intersection of Data Science and Digital Marketing, helping us bridge the "Data-Insight Gap" by turning raw search and citation data into a strategic roadmap for growth. In this role, you won't just look at "what happened"; you’ll define "why" and "how" we optimize for the next generation of discovery. You will work directly with our SEO and Content teams to ensure Cloudflare is not just present, but authoritative in AI-generated answers and developer-focused coding environments. To maximize your impact, you will be expected to build AI-driven workflows that automate routine "busy-work," allowing you to focus on high-level analytical thinking and creative strategy.
Responsibilities
AEO GEO Strategy: Identify "high-intent" user prompts where our brand is under-represented and recommend specific content optimizations — such as FAQ blocks or comparison tables — to capture these "missing" answers.
Coding Agent Optimization (CAO): Analyze how coding assistants (like GitHub Copilot or Replit Agent) interpret our documentation and technical assets to ensure our tools are the first choice for developers.
Authority Mapping: Build a "Priority Source List" of third-party wikis, niche forums, and technical blogs that AI engines frequently cite, serving as a "hit list" for PR and backlink efforts.
Intelligence Mastery: Deeply utilize SEMRush for AEO and SEO intelligence and Adobe Analytics to understand user behavior and the downstream impact of our visibility.
Sentiment Perception Audits: Identify queries where AI sources provide neutral or negative sentiment, outlining SME-led outreach strategies to improve these results.
Impact Modeling: Develop a "Prioritization Matrix" that stack-ranks opportunities based on "Ease of Implementation" vs. "Potential Reach," ensuring we focus on the highest-value wins.
Executive Reporting: Distill complex dataset findings into an "executive-ready" AI Visibility Gap Report by the end of the summer.
Skills Qualifications
A background in a quantitative or marketing field (Marketing, Data Science, CS, or Economics), MBA/MS preferred, with a passion ... (truncated, view full listing at source)
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