Citation Mining
Systematically running many prompts across AI platforms to record which domains and URLs get cited — mapping the AI citation landscape for a topic.
If you want to know how visible your brand is in the age of artificial intelligence, you need to look at citation mining. This is the practice of running dozens of prompts across different AI platforms to track which websites they cite. By recording every link and domain, you can turn scattered AI answers into structured data that maps out who gets referenced, and where.
We put this to the test by running sixty prompts about AI search engine optimization through both GPT-5 and Gemini. The results showed just how differently these platforms behave. One platform returned about one hundred and forty citations, while the other returned four hundred. More surprisingly, their domain lists barely overlapped.
This tells us that to win in AI search, you cannot rely on a one-size-fits-all strategy. Citation mining allows you to measure your actual share of citations and see exactly where you need to compete. It provides the hard metrics behind your AI visibility, helping you quantify your presence and understand how these models ground their answers.
Citation mining is the practice of systematically running many prompts across AI platforms and recording which domains and URLs each one cites, to map the citation landscape for a topic or brand. It turns scattered AI answers into structured data about who gets referenced.
Our citation-mining pipeline shows the shape of it: across 60 prompts over categories like AEO, AI SEO, AIO and Answer Engine Optimization, run through GPT-5 and Gemini, it collected 141 citations from one platform and 400 from the other, then tallied the top citation domains and URLs. Platforms cite very differently — the domain mixes barely overlap.
For AI SEO this is how you measure share of citations and spot where to compete. It feeds the metrics behind AI visibility and complements number of citations as a way to quantify presence in AI answers.