A social-listening study across TikTok, Instagram, Reddit and YouTube — plus an AI category-perception study run on ChatGPT and Gemini with six simulated shoppers. Every quote on this site is a real verbatim; every chart traces to a source file.
This is a bottom-up movement. The close-read set — 361 posts specifically about organic-cotton activewear — drew about 7.5M views over twelve weeks, roughly 2.5M a month, at a median of about 2,000 views per post. Small, growing, and unclaimed. Read the size as opportunity, not scale.
We never invent quotes or numbers. Single-run AI signals are treated as directional, not settled. Where the data is thin, we say so instead of filling the gap. The AI personas are modelled probes, not surveyed buyers.
That a fabric directly disrupts hormones. The category believes it; the data doesn't prove it. We treat it as a belief people hold, not a fact.
We read the category where it actually happens. The coded corpus of 1,976 posts is Instagram and TikTok, where the category's content lives; Reddit and YouTube were read as separate layers for the arguments and the long-form verdicts. Every quote on this site comes out of that corpus, and the sports, occasions and objections in the Audience section are counted from it, not inferred.
- What we collected
- 1,976 posts on Instagram and TikTok over twelve weeks, each coded by format and content pillar. Reddit (31 threads, 282 comments) and YouTube (145 videos) were read separately.
- The close read
- 361 posts specifically about organic-cotton activewear, hand-coded for the sport, the occasion, the benefit claimed and the objection raised.
- Going deeper than captions
- Comment threads and video transcripts pulled on the posts that anchor each finding — which is where the verbatims and the winners' lists came from.
- The competitive layer
- Six months of every brand's own Instagram and TikTok — 993 posts across the six brands profiled — giving cadence, engagement and reach on identical terms.
Because a growing share of shoppers now ask a machine before they ask a friend, we ran the category through ChatGPT and Gemini as if we were the shopper — then traced where those answers come from.
- The focus group
- Six shopper types put 248 real category questions to ChatGPT and Gemini, from 'is my gym kit toxic?' to 'which brand should I buy?', mapped across 186 journeys.
- What we measured
- Which brands get named and how often, the fibre hierarchy the models hold, and what they do at each stage from first worry to checkout.
- Where the answers come from
- Every source cited was classified — 7,999 citations across 714 domains — which is how we know social barely feeds the machine and editorial does.
- The zero-click layer
- 124 prompts through Google's AI Overviews, plus an audit of what the brand's own site gives a model to work with.