iAsk.ai IAsk.ai, an AI search engine for students and researchers, has surpassed 750 million searches, according to a Morningstar report citing Accesswire. The platform claims 67% better performance than other models and emphasizes accuracy, verifiable sources, and data privacy. We can't find the internet Attempting to reconnect Something went wrong Hang in there while we get back on track New We hit 750 million searches https://www.morningstar.com/news/accesswire/1174329msn/iask-surpasses-750-million-searches-as-demand-for-ai-powered-answers-accelerates Academic, accurate and authoritative. The AI search engine built for students and researchers Trusted by students and researchers from top schools What is iAsk? iAsk AI is an advanced free AI search engine that enables users to ask AI questions and receive instant, accurate and factual answers without ever storing their data. The AI learning engine trusted by students Millions of students worldwide use iAsk AI to research, learn, and explore new topics with answers backed by verifiable sources. The AI learning engine trusted by students Millions of students worldwide use iAsk AI to research, learn, and explore new topics with answers backed by verifiable sources. Made specially for research iAsk performed 67% better when compared to other models, making it the best search engine for students and researchers Trusted by millions of students worldwide Hear how students and researchers are using iAsk for their toughest assignments I used to spend hours buried in PDFs trying to find the right citation. iAsk cut my literature review time in half. Priya Nair PhD @Stanford university Most AI tools hallucinate sources. iAsk actually shows me where the answer came from, which matters a lot in writing thesis. Jess Mah Undergraduate @UC Berkeley The video tutor genuinely feels like office hours. I used it the night before finals and it walked me through three problem sets. Ayush Jaiswal Graduate @UC Berkeley Switched from ChatGPT for anything research-related. The accuracy difference is noticeable, especially with technical papers. Daniel Kim Research assistance @Harvard