AI Product Engineer · Founder at Clicon

I build production-grade AI products end-to-end — from infrastructure to go-to-market strategy. My focus is on the intersection of LLMs, SEO, and B2B SaaS, specifically in the emerging field of Generative Engine Optimization (GEO).

Currently building Lotus, an AI Citation Intelligence Engine that helps B2B brands control how they are represented and cited by large language models like ChatGPT, Perplexity, Gemini, and Claude.

Backend & Infrastructure

AI & LLMs

Frontend & Tools

Production-grade GEO platform deployed on Google Cloud Run. Monitors AI crawler activity, generates structured defense artifacts, runs competitive intelligence pipelines, and quantifies revenue at risk from AI zero-click erosion.

Core capabilities:

• Citation monitoring — tracks how LLMs represent and cite a brand across AI search engines
• Competitive intelligence — discovers and analyzes competitor GEO strategies via scraping + Gemini
• Artifact generation — produces llms.txt, JSON-LD structured data, and semantic context layers
• Revenue at risk model — CFO-grade bleed quantification with GSC integration and confidence scoring
• Quick wins engine — prioritized GEO action queue with state tracking per client
• White Label Agency mode — agencies manage up to 5 clients under their own brand, isolated by agency_id
• MCP Server — exposes analyze_geo, get_quick_wins, and get_competitor_actions as tools for AI agents (Claude, Cursor, etc.) to interact with Lotus programmatically

FastAPI Gemini API Playwright Firebase Docker Cloud Run MCP GEO

• Building Lotus at Clicon
• Exploring the intersection of LLMs and organic search
• Based in Latin America, working globally

"The best way to predict the future is to build it."