ChatGPT Ads2026-09-21
Back to Blog

Efsa Ediz
GEO Researcher · Maya
10 articlesLinkedIn
GEO researcher at Maya. Efsa studies the mechanics of how large language models retrieve, rank, and cite sources — from fanout queries to llms.txt — and turns those findings into practical guidance brands can act on to appear in AI answers.
Focus areas
Generative Engine Optimization (GEO)Answer Engine Optimization (AEO)LLM retrieval & citationsFanout queriesllms.txt
Articles by Efsa Ediz
ChatGPT Ads2026-09-21
How to Advertise on ChatGPT: First Campaign Step by Step
AI Visibility2026-09-17
How to Choose Between API, MCP, and CSV for AI Visibility Data
Fanout Queries2026-09-17
What Are Fanout Queries? A Guide From Data to Content Decisions
AI Visibility2026-09-16
How to Check AI Bot Access: A Technical Audit
AI Visibility2026-09-14
AI Citation Analysis: How to Find Your Content Gap
AI Visibility2026-09-14
How to Measure Google AI Overviews and AI Mode Visibility
GEO2026-07-27
What Are Fanout Queries? The Complete AI Visibility & GEO Guide
AEO2026-02-10
AEO vs SEO: What is AI Engine Optimization and Why It Matters
llms.txt2026-01-28