About
A free knowledge base on how AI chooses its sources.
Rankus AI publishes explainers, a glossary and benchmarks on Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) — how ChatGPT, Perplexity, Gemini, Grok, Meta AI, DeepSeek and AI Overviews retrieve, synthesize and cite their sources. Everything here is free to read and free to cite; prompt sets and methods are published alongside every test so the work can be reproduced.
What this site is not
Rankus AI is a publication, not a product. There is no app, no pricing and no software to buy — the site exists to document how answer engines and generative search actually work, in public, as the field keeps changing.
Who writes it
Furkan Yaman
AEO & GEO practitioner.
Furkan Yaman is an AEO and GEO practitioner. He runs Rankus AI as an open notebook: what he tests on answer engines, published as he learns it, with no product to sell.
His work speaks in numbers. He structured 90 pieces of content around answer-engine logic and grew AI citations 200% quarter over quarter. Through entity consistency alone, he grew AI brand mentions 300% in a single quarter. In one GEO consultancy engagement he took a client from 0% to over 70% AI visibility in three months, and separately reached 7 million organic impressions across Google and Bing. He has run more than 10 GEO experiments, covering listicles, llms.txt and AI-optimized video, documenting what works and what does not. He also built AI Rank Checker, which measures how often brands appear in answers from ChatGPT, Perplexity, Google AI, Grok and Claude, and has produced 50 educational videos on AI search optimization.
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Topic requests, methodology critiques, data corrections and guest research are all welcome — see the contact page for the fastest way to reach us.