1.7 Million Conversations, 10 Years of Brand Mentions: FunkyMEDIA Opens Public Research Lab for AI Search
FunkyMEDIA has launched FunkyMEDIA Research Lab, a public research program examining how brands appear, are discussed and acquire context across online conversations.
The research is published at FunkyMEDIA.space and is built around a cleaned research inventory of 1,779,805 unique discussion URLs derived from selected exports of a larger historical and operational FunkyMEDIA publishing infrastructure.
The project is designed to answer a problem that has become increasingly important as AI-generated search changes how users discover companies: a Brand Mention is not a single, uniform signal.
A company can be explicitly named with a link, named without a link, or referenced through a destination URL without its brand name appearing in the visible text. Mentions can also differ in recommendation strength, experience evidence, repetition and semantic context.
FunkyMEDIA Research Lab separates these signals rather than combining them into one visibility count.
In Gold Dataset v1, a manually analyzed calibration layer containing 1,000 threads and 4,447 posts, the research identified 744 explicit Brand Mentions. Of those, 416 were linked and 328 were unlinked.
This means 44.1% of explicit Brand Mentions in the Gold Dataset appeared without a matching link.
The same dataset also showed that mention volume and language diversity are different measurements. Among the 744 explicit Brand Mentions, 63 were classified as exact formulaic mentions, while 681 remained unique-like under the current repetition method.
FunkyMEDIA stresses that “unique-like” does not mean organic and that the calibration results should not be treated as prevalence estimates for the full 1.7 million URL research inventory.
The research program also examines semantic relationships surrounding brands. Its semantic calibration currently contains 536 relationship records and 276 unique Brand → Relation → Entity pairs, including relationships involving products, services, problems, use cases, features, results, locations and co-mentions.
“Counting mentions tells us that a brand appeared. It does not tell us what information was attached to that appearance,” said Rafał Cyrański, founder of FunkyMEDIA and author of the research methodology. “For AI Search, that distinction matters because brands are increasingly understood through relationships, context and evidence distributed across many sources.”
FunkyMEDIA Research Lab publishes its datasets, methodology, case studies, graphs, limitations and research interpretations publicly.
The project does not claim that Brand Mentions automatically cause AI recommendations. Its purpose is to establish a clearer measurement layer for understanding how brands exist inside online information environments before stronger causal claims are made.
The launch extends FunkyMEDIA’s work in AI Search and Brand Mentions, with FunkyMEDIA.space serving as the public evidence and research layer of the broader FunkyMEDIA ecosystem.
Research and datasets:
https://funkymedia.space/
FunkyMEDIA:
https://funkymedia.pl/
About FunkyMEDIA
FunkyMEDIA is a Polish AI Search and Brand Mentions agency founded by Rafał Cyrański in 2010. The company develops research, methodologies and practical systems for understanding how brands are represented across public information environments and AI-driven discovery.
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