GEO Expert - Hybrid

Clara is the leading platform in Latin America for companies to execute and manage every payment operation. More than 50,000 leading and fast-growing businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the region’s fastest-growing company. We’re passionate about helping every company we work with become more effective—and, through that, raising the region’s competitiveness. We’re ~400 people, backed by Notable Capital, Coatue, Kaszek, monashees, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others. GEO Expert Location: Mexico, Brasil, Colombia or Argentina What you'll do The way people find companies is changing: search is increasingly a conversation with an LLM. You'll own how Clara shows up in that conversation, making sure Claude, ChatGPT, Perplexity, Gemini, and other AI engines surface Clara accurately and favorably when people ask about corporate cards, bill pay, or spend management in LatAm. You'll work alongside our website and SEO team to build this function from the ground up, using AI not just as a research aid but as the core engine of how you build, test, and ship. Your responsibilities Own GEO (Generative Engine Optimization) for clara.com and other sites: how our content, structure, and data get cited, summarized, and recommended by AI search and answer engines. Audit how Clara currently appears (or doesn't) across ChatGPT, Perplexity, Gemini, Claude, and other LLM-powered search surfaces, and build a baseline to measure against. Design and run experiments: structured data, content formatting, citation-worthy page design, llms.txt-style approaches, and other emerging GEO tactics, then measure what actually moves the needle. Build AI agents and automated pipelines to do this at scale: automated citation and brand-mention tracking across LLM engines, agents that audit and rewrite content for machine readability, and automation tools (n8n, Make, Zapier, or similar) that turn one-off tasks into repeatable systems. Use AI coding tools (Claude Code, Cursor, v0, or similar) to build your own tooling: scrapers, dashboards, scoring scripts, or internal apps that track GEO performance. Use AI daily as your core workflow: prompting LLMs to audit how they currently see Clara, orchestrating multi-step agent workflows for content analysis, and generating or restructuring content at scale, not just using AI to speed up manual work. Build growth-hacking style tests, fast, scrappy, and quantified, to find what earns visibility in AI answers before best practices are established industry-wide. Create benchmarks and reporting that show leadership what's working, so we can judge whether this function should grow, ideally through a self-serve dashboard you build yourself. Stay ahead of a field that changes monthly: new engines, new ranking signals, new agent frameworks, and new ways AI models decide what to cite. Must haves Experience optimizing a website or content for search, whether traditional SEO, content growth hacking, or early GEO work, with a track record of experiments that moved real metrics (traffic, rankings, citations, qualified leads). Real AI-building experience , not just prompting: you've built agents, automations, or pipelines (n8n, Make, Zapier, custom scripts, or AI coding tools) that do real work without you in the loop every time. Active, daily use of AI tools as part of your real workflow: using LLMs to research, test hypotheses, audit content, and build at speed. Analytical: comfortable setting up your own tracking, reading results honestly, and killing tests that don't work. Creative: this field has no playbook yet. You'll generate hypotheses nobody has tried, not just apply someone else's checklist. Able to move fast and scrappy: this is a new, unproven function, and you're building the process as you go. Comfortable communicating results and tradeoffs to non-technical stak