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Posted 3 days agoSenior GEO Manager - LLM Search Optimization
at Make
Prague, CzechiaOn-site
Requirements
- Make is the platform to manage all your automations and AI agents in one visual landscape – for teams driving business impact without relying on developers.
- You’ll build the strategy, systems, monitoring, and content mechanics yourself, and prove out what generative visibility is worth to a workflow-automation and AI-agent platform.
- Traditional organic SEO stays part of the job, but it's the floor, not the ceiling. What you'll own
- GEO / AEO strategy build and run Make's approach to being cited (correctly, favorably, and often) across ChatGPT, Perplexity, Google AI Overviews, and Claude.
- Entity-based content architecture work with the content team to restructure key topics into the clusters and schema that both traditional crawlers and LLM retrieval reward.
- 5+ years in SEO, with the last 1–2 spent seriously engaging with how generative/AI search actually works: not just aware of GEO, but already testing it.
- Comfortable being technical: schema/structured data, crawl data, and enough Python or scripting to build your own monitoring instead of waiting on engineering.
- Fluent English. Your toolkit
- You don't need to have used every tool below but you should be fluent enough in this category of tooling to be productive fast.
- GEO / AI visibility Profound, peec.ai, or equivalent LLM-citation tracking (or the instinct to build your own when off-the-shelf isn't enough).
- Core SEO SEMrush, Ahrefs, Screaming Frog, Google Search Console.
- Analytics & data GA4, BigQuery, and enough SQL to pull your own answers instead of waiting on a data team.
- Automation & AI Python (or similar scripting) plus LLM APIs (Claude, OpenAI) to build monitoring and reporting that runs itself. Nice to have
- Background in B2B SaaS or PLG, ideally at a company selling into a technical or ops audience.
- Hands-on use of LLM APIs (Claude, OpenAI) to build internal tooling, not just as an end user.
- Familiarity with workflow automation, iPaaS, or AI agent tooling. You don't need to be a Make power user on day one, but you should get why it matters. Why this is a good fit
- 🍎 Notebook/Macbook and 34’’ curved monitor, access to a company 3D printer
- For more, feel free to check out our Life at Make Instagram , Meet-up page , or YouTube to get a sense of the vibe.
Benefits
- 📈 RSUs grant in a rapidly growing company raising its value every day 💸 Annual bonus
- 🏝 25 days of vacation, 4 sick days 🫶 10 care days
- 👨👩👧👦 Extra parental vacation (3-6 months)
- 👶 RSUs grant for a newborn child ☂️ Life insurance 🏋️ Multisport card
- 💰 Remote working allowance
Additional details
- Citation monitoring stand up prompt-level tracking of where Make shows up, where it doesn't, and where competitors are winning the citation instead.
- Authority & source repair identify and close the gaps in the sources LLMs actually draw from (this includes unglamorous work like earning back reinstated, high-trust reference sources).
- Technical SEO own Core Web Vitals, indexation, structured data, and site health well enough that it's never the reason organic underperforms.
- Insight to action translate visibility data into a short list of things the business should actually do differently, not a dashboard nobody reads. What you bring
- A bias for evidence over opinion. You'd rather run a structured experiment on citation visibility than debate it in a meeting.
- Genuine comfort with ambiguity. GEO best practice is still being written; you should enjoy that, not be waiting for a playbook.
- A business lens: you think in signups, pipeline, and share of voice - not just rankings and impressions.
- Implementation structured data / schema.org, and comfort working directly with engineering on crawl, rendering, and site architecture issues.
- You want to be the person who defines what GEO means for a company, not the fifth hire executing someone else's playbook.
- You'd rather be judged on signups and pipeline influence than on ranking positions.