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GEO Brand Citation Index: Monthly Brand Visibility Tracking Across AI Systems
One-line summary
An AI research paper on GEO Brand Citation Index: Monthly Brand Visibility Tracking Across AI Systems.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
v5 (June 2026): Fifth monthly run. 36 brands, 3 verticals, 54 queries across ChatGPT, Perplexity, and Gemini. Key findings: Claude posted the largest positive delta in the index’s history (+72.22pp, Live Search Brand); Ahrefs reversed from AI Memory Brand back to Dominant in a single run (Perplexity 60.87→90.91); Google Search Console flipped from AI Memory to Live Search Brand on a +50.79pp delta swing; Moz held AI Memory Brand for a fourth consecutive month (−38.74pp). Pipeline run c4fe67bc, 2026-06-15. v4 (May 2026): Fourth monthly run. 35 brands, 3 verticals, 54 queries across ChatGPT, Perplexity, and Gemini. Key findings: Ahrefs archetype shift from Dominant to AI Memory Brand (−39.13pp Perplexity gap), Claude highest positive delta (+60.87pp, Live Search Brand), 12 archetype changes tracked (5 reclassified into a new named archetype, 7 dropped to unclassified). Pipeline run 29d7642b, 2026-05-07. v3 (April 2026): Third monthly run. 38 brands, 3 verticals, 54 queries across ChatGPT, Perplexity, and Gemini. Key findings: Pipedrive +48.1pp on Perplexity (largest positive delta), Moz −43.7pp (AI Memory archetype), Ahrefs promoted to Dominant. 92 rows (platform × vertical × brand). Pipeline run d35c9bbe, 2026-04-29. The GEO Brand Citation Index is a monthly open research dataset tracking how frequently brands are cited by major AI systems — ChatGPT, Perplexity, and Gemini — in response to common tool evaluation queries. This dataset covers five monthly runs (March–June 2026) with 35–40 brands per run across three verticals: SEO & Marketing, CRM & Sales, and AI & LLM Tools. v5 (June 2026) contains 36 brands and 92 rows. Methodology: Each brand is queried across standardised prompts on ChatGPT (GPT-4), Perplexity AI, and Google Gemini. Citation frequency is normalised to a 0–100 scale relative to the most-cited brand in each vertical per platform. The Delta metric captures the gap between ChatGPT citations (reflecting training data prominence) and Perplexity citations (reflecting live web visibility), surfacing which brands have current web presence versus historical AI memory only. Archetype Classification: Dominant: Cited consistently across all three platforms - AI Memory: High ChatGPT citations, low Perplexity (training data only) - Live Search: High Perplexity citations, lower ChatGPT (current but not deeply embedded in training data) - Consensus GEO: Balanced moderate citations across all platforms - Ghost: Cited historically but near-absent in live AI responses - Unclassified: Insufficient citation volume for archetype assignment Dataset columns: Month, Brand, Vertical, ChatGPT_Citations, Perplexity_Citations, Gemini_Citations, Delta, Archetype Live tool and full methodology: https://thegeolab.net/geo-brand-citation-index/
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