Author
Ivan Miragaya
I founded LLMMonitor after watching ChatGPT replace 8% of informational queries in our category within six months. The work is GEO: making sure brands get cited by AI, not just indexed by it.
Background
SEO engineer turned GEO founder.
Ivan started in technical SEO at MVF Global and Cushman & Wakefield, where he specialized in crawl budget, internal linking architecture, and JavaScript-rendered content at scale. When ChatGPT replaced 8% of informational queries in his category within six months, the work pivoted.
He founded LLMMonitor to answer a question nobody had productized: how often does an AI actually recommend your brand, and what do you do when the answer is “not often”? The product is the methodology — a repeatable prompt library, a validated scoring rubric, and a daily scan cadence that any SEO team can run without engineering support.
Today he publishes the GEO blog on llmmonitor.io, runs the free /aeo-audit and /llm-check tools, and consults with marketing teams on AI brand visibility strategy.
Credentials
Where the work happened
Founder, LLMMonitor
2024 — PresentBuilt the first Generative Engine Optimization platform focused on brand visibility across ChatGPT, Gemini, Claude, and Perplexity. Runs the GEO blog and the /aeo-audit + /llm-check free tools.
Technical SEO Specialist, Cushman & Wakefield
Earlier careerOwned technical SEO for commercial real estate surfaces at global scale. Specialized in crawl budget, internal linking architecture, and JavaScript-rendered content.
SEO Specialist, MVF Global
Earlier careerWorked on performance SEO for high-velocity B2C campaigns. Built measurement systems for content velocity and SERP feature ownership.
Expertise
What I work on
Generative Engine Optimization (GEO)
End-to-end methodology for measuring and improving brand visibility in AI-generated answers. Prompt library design, scoring rubric validation, share-of-voice analysis.
Answer Engine Optimization (AEO)
Schema, llms.txt, content depth, and rendering patterns that make a site more citable to AI crawlers and more visible in AI answers.
AI brand visibility measurement
Designing scan cadence, sentiment scoring, and citation tracking systems for marketing teams who need to report AI visibility to leadership.
Read the GEO playbook.
24 guides on AI brand visibility — written by someone who has shipped the methodology inside real organizations.