We turn AI search answers into structured data
querying.ai is a GEO data API built in Seoul, Republic of Korea. We started it in late 2025.
Why we started
In late 2025, assistants such as ChatGPT and Gemini started reading and summarising search results on the user's behalf. People got a written answer instead of a list of links, and the ranking position of a page stopped describing what a customer actually sees. Nothing in the toolchain answered the new question: whether a brand is named in that answer, in what order, and which sources the answer cites.
So we turned that question into an API. The first decision was to answer it with the answers users really see, so every citation we report is one that exists on the screen.
What we build
querying.ai collects and structures AI search answers. It gathers real answers from 13 engines: ChatGPT, Gemini, Perplexity, Bing Copilot, Google AI Overviews, Google AI Mode, Meta AI, Qwen, Doubao, Baidu Wenxin, Baidu AI Search, Naver AI Briefing and Naver AI Tab. Each answer and its cited source paragraphs are returned as structured JSON.
The API is metered per completed task, and every engine has a published credit rate on the pricing page.
Founders
Junhyeok (Aaron) Song
Co-Founder and CEO
Previously co-founded Deepsol, acquired in 2025, and founded Boltlab. Seoul National University, Electrical and Computer Engineering.
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Harold Kim
Co-Founder
Previously at Microsoft and AWS, and a founding engineer at BrandBot through its acquisition by Xplor. University of California, Los Angeles.
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