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Cloudinary

GEO / AI Visibility Specialist (Contract)

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Kraków · DevOps · Mid

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Job description

About the role

We're building a small, focused execution pod inside Growth Marketing to ship visibility experiments across AI answer engines, community platforms, and third-party listicles. This role is one of three on the pod. You'll work directly with our growth director and our GEO/AEO lead, alongside an ABM/Paid specialist and an SEO specialist. GEO (Generative Engine Optimization) is the work of getting a brand surfaced in AI-generated answers — ChatGPT, Perplexity, Claude, Google AI Overviews, and others — and in the community conversations and listicles those engines pull from. It's a new, fast-moving discipline that combines SEO instincts, content creation, and community work. This is an execution role. You'll be measured on what you ship and where the brand shows up — not on slide decks or strategy frameworks. If you're curious about how LLMs surface answers and want to be early in a new field, you'll thrive here.

What you'll do

  • Build presence in AI answer engines
  • Create and optimize content engineered to surface in LLM responses — question-led pages, comparison pages, etc.
  • Track where the brand appears (and doesn't) across major AI surfaces and report on coverage trends in specific products (video).
  • Identify high-intent prompts we should be visible for, and ship the supporting content.
Cloudinary
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  • Ship two pieces of work per day on average — content, live community insertions, or successful listicle outreach.
  • Get included in third-party lists and reviews
  • Outreach for inclusion in industry listicles, review sites, and category roundups.
  • Manage and grow our presence on G2, Capterra, TrustRadius, and similar platforms in collaboration with the internal team.
  • Build relationships with analyst-style writers and journalists publishing in the category.
  • Show up in community conversations
  • Participate authentically in Reddit, Quora, Hacker News, and other community discussions where the brand should be in the conversation.
  • Identify high-traffic threads where competitors are mentioned and we're not — and change that.
  • Build a presence that's helpful first and promotional second. (Communities will sniff out anything else.)
  • Track and report what's working
  • Log every experiment in the team tracker.
  • Monitor AI visibility weekly across the tools we use to measure it.
  • Write short async recaps on what moved coverage, what didn't, and why.
  • Requirements

    • You ship
    • One to three years of hands-on content, SEO, community management, or PR execution experience — agency, in-house, or freelance.
    • You've personally written content, run outreach, and posted in communities — not just managed someone else who did.
    • You move fast. You're comfortable trying things, measuring, and iterating.
    • You're fluent in AI and community
    • You use LLMs daily and have an intuition for how they pull answers.
    • You're comfortable on Reddit, Hacker News, Quora, or comparable communities — you read the room before you post.
    • Bonus: familiarity with AI visibility tracking tools (Profound, Goodie, AthenaHQ, or similar).
    • You write well
    • Strong written English. You can write content that sounds human, ranks, and gets quoted by AI answer engines.
    • Direct, clear, and brief in writing. We don't reward long emails.
    • Comfortable working asynchronously across time zones.
    • You want to be measured on output
    • You'd rather ship and learn than plan and wait.
    • You want a role with clear weekly targets and visible outcomes.
    • You're comfortable with feedback loops that are fast and direct.
    • What success looks like
    • After 90 days, a strong contributor in this role will have shipped a consistent volume of content, community posts, and outreach, materially increased the brand's visibility across major AI answer engines, and generated qualified inbound from AI and community sources.
    • We'll define specific targets together in week one — but the shape is: shipped volume, AI coverage lift, and qualified inbound.

    Tech stack

    LLM