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GEO / AI Visibility Specialist (Contract)

Cloudinary

Kraków Remote contract

Posted: May 13, 2026

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Quick Summary

You will work with our growth team to optimize the visibility of our brand in AI-generated answers and community conversations, ensuring accurate and relevant results.

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.


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.


Who you are:
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.

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