brandtags

Evidence before spectacle

Methodology

BrandTags compares perspectives without pretending that different sources are one universal opinion.

AI snapshots

ChatGPT and Gemini receive the same prompt: describe perceived brand associations in short phrases, avoid marketing copy, include unflattering associations and assign a 1–100 strength weight. Web search is disabled. We store model, provider, timestamp, prompt version, raw response and normalized tags.

Current human responses

Visitors voluntarily add one word or short phrase per brand collection wave. Counts describe this participating panel only. They are not weighted to represent a country, demographic or all customers.

Historical archive

Recovered BrandTags pages from 2008–2012 preserve raw association text and capture dates. Historical counts are exact phrase occurrences in the recovered association area. They never enter current human totals.

Comparisons and rankings

Initial comparisons use case-and-whitespace-normalized exact matches. Model overlap is Jaccard similarity among top tag sets. Semantic clusters are only merged after review; the site does not silently decide that two different phrases mean the same thing.

Publication quality gate

  • Two dated model snapshots shown independently.
  • Transparent prompt and source labels.
  • A substantive archive or current human layer.
  • No placeholder counts, reviews or offers.
  • Editorial review for high-traffic profiles.