AI Brand Visibility Snapshot — GCC.
Weekly measurements of how often LLMs mention 50 GCC brands across 5 industries. Open data, CC-BY-4.0. The first public dataset of AI brand visibility for the Gulf region.
Where we look.
10 brands per industry. Selected from public business directories, ad spend signals, and brand-name searches in each market.
How AIVS is calculated.
For each brand we fire 8 prompts across 4 LLMs — 32 calls per brand per snapshot week. Prompts are grouped:
- 3 industry-level open-ended — "Best [industry] in [city]?" Did the LLM volunteer the brand?
- 3 niche-level open-ended — "Best [specific subcategory] in [city]?" Tighter — separates broad presence from real authority.
- 2 brand-named echoes — "Tell me about [brand]" Does the LLM know who the brand is when asked directly?
AIVS = 0.5 · (industry_mentions / 12)
+ 0.3 · (niche_mentions / 12)
+ 0.2 · (echo_mentions / 8)
Grades: A ≥ 0.70 B 0.50–0.69 C 0.30–0.49 D 0.10–0.29 F < 0.10Methodology v1.5 — locked 2026-05-08. Earlier weeks (v1.0, 5-prompt) are flagged in the dataset and not directly comparable to v1.5+ scores.
Open data, CC-BY-4.0.
Use it, cite it, build on it. Attribution required.
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Citation formats.
Foreground Digital. (2026). AI Brand Visibility Snapshot — GCC [Dataset]. https://foreground.agency/data/ai-brand-visibility@dataset{foreground_aivs_gcc_2026,
title = {AI Brand Visibility Snapshot --- GCC},
author = {{Foreground Digital}},
year = {2026},
url = {https://foreground.agency/data/ai-brand-visibility},
note = {Weekly snapshot, methodology v1.5},
license = {CC-BY-4.0}
}"AI Brand Visibility Snapshot — GCC", Foreground Digital, weekly snapshot, https://foreground.agency/data/ai-brand-visibility, CC-BY-4.0.Want your brand checked individually?
The dataset covers 50 brands. The free AI Brand Mention Checker runs the same methodology on any brand you give it — emailed PDF report.