The Birth of an Idea
In a world where search engines and AI systems determine who gets found and who doesn't, Ranketic was born from a simple but powerful insight: existing SEO tools only measure half the truth.
Traditional SEO analysis tools evaluate websites based on technical criteria and content quality — factors relevant for Google and Bing. But since 2023, the information search landscape has fundamentally changed. ChatGPT, Perplexity, Google AI Overviews, and Claude now answer millions of queries directly — without users ever visiting a website. A groundbreaking study by Princeton University and Georgia Tech showed in 2024 that traditional SEO techniques have almost zero correlation with visibility in AI-generated answers [1].
The Vision: One Score for Two Worlds
Ranketic was founded to bridge this gap. Our goal was clear from the start: A single, understandable score that measures both traditional search engine visibility and the new AI visibility.
The Ranketic Score is the heart of our platform. It unifies three dimensions of digital visibility into a single number from 0 to 100:
- Technical SEO Quality — The foundation: load times, mobile optimization, security, structured data
- Content Quality — The substance: readability, keyword optimization, structure, internal linking
- GEO Readiness — The future: How well is your content understood, cited, and recommended by AI systems?
Why the Name "Ranketic"?
The name Ranketic combines "Ranking" with "Kinetic" — kinetic energy. Because visibility is not a static state, but a dynamic process. Those who rank well today can become invisible tomorrow when algorithms change. Ranketic gives you the tools to stay in motion.
Our Mission
We believe that every business — from the local craftsman to the international corporation — has the right to be visible in the digital space. Not just in traditional search results, but also in the AI-generated answers that are increasingly becoming the first point of contact for information seekers.
"Our mission is to build the bridge between the traditional SEO world and the new era of AI search — and to give every business a clear, understandable benchmark for their digital visibility."
References
[1] Aggarwal, P. et al. (2024). "GEO: Generative Engine Optimization." Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Princeton University, Georgia Tech, Allen Institute for AI, IIT Delhi. DOI: 10.1145/3637528.3671900