Cybersecurity platforms: CrowdStrike leads in 21 of 21 markets
21 markets · Cybersecurity platformsLeer en español
Does AI recommend the same brands in every country?
In cybersecurity platforms, ChatGPT, Gemini and Claude name 1 different leading brands across 21 markets over the 4 weeks ending September 14, 2026: CrowdStrike in 21 of 21.
Record figures
- Distinct leaders
- 1
- Markets
- 21
- CrowdStrike: 13.8%
- CrowdStrike: 15.0%
- CrowdStrike: 11.9%
- CrowdStrike: 16.7%
- CrowdStrike: 14.0%
- CrowdStrike: 14.9%
- CrowdStrike: 11.2%
- CrowdStrike: 9.7%
- CrowdStrike: 12.1%
- CrowdStrike: 10.6%
- CrowdStrike: 11.2%
- CrowdStrike: 11.8%
- CrowdStrike: 10.9%
- CrowdStrike: 14.5%
- CrowdStrike: 13.8%
- CrowdStrike: 18.6%
- CrowdStrike: 21.2%
- CrowdStrike: 18.6%
- CrowdStrike: 10.4%
- CrowdStrike: 14.6%
- CrowdStrike: 9.4%
- Answers naming the leader
- 5.0%
- Answers analysed
- 1025
- Window
- 4-week window closed on September 14, 2026
- Models
- ChatGPT, Gemini, Claude
CrowdStrike is the brand ChatGPT, Gemini and Claude name first in cybersecurity platforms in 21 of 21 markets, on 1,025 answers from the 4-week window closed on September 14, 2026. The map holds the same name from Mexico to Sweden and in the two global views, one in Spanish and one in English. The share changes by market: it sits at 9.4% at the low end and reaches 21.2% at the high end, and the first position stays with the same brand across that whole range.
For any other brand in the category the reference is a single one. The head of the ranking is identical in the three models and in the 21 markets, with prompts in Spanish and with prompts in English. I read the same top line in a market with 18 answers and in a market with 100 answers. The distance to the leader is measured market by market, and the name at the top reads the same in all of them.
How I measured it
In the 4-week window closed on September 14, 2026 I gathered 1,025 answers from ChatGPT, Gemini and Claude about cybersecurity platforms in multi. The public benchmark measures every week which brands ChatGPT, Gemini and Claude name across 20 markets and 15 industries, in Spanish and in English. The models are queried through their APIs and without web search. Every mention is counted against a curated brand registry, with whole-word matching. Every brand that appears in a Quick Insight has been reviewed by a person. A brand's mention share is its part of the category's verified mentions in the period. The 95% interval is the margin of error of the share, calculated with the Wilson method. I calculate it on mentions and on answers. I publish a lead as clear when the second brand's share falls outside the leader's interval in both calculations. Inside it, it is a statistical tie.
Scope of the data
The figure covers the cybersecurity platforms category in multi, with prompts in Spanish, on ChatGPT, Gemini and Claude, in the 4-week window closed on September 14, 2026; the models are queried through their APIs and without web search.
What to do with this figure
- Measure the brand with the same category prompts. Prompt Tracking runs prompts on the five engines.
- See which sources AI cites when it answers about the category. Prompt Tracking shows, for each prompt and model, the sources the answer cited, and AI Market Leaders groups them by brand.
- Cover the topics where AI leaves the brand out. Content Boost turns citation gaps into an editorial calendar with drafts.
About AuraMetrics
AuraMetrics measures how a brand appears in AI answers and validates the technical implementation behind that presence. The GEO Score is calculated on the GEO Framework, a public four-pillar methodology. It analyzes the sources AI cites. It measures visibility in ChatGPT, Gemini, Google AI Mode, Perplexity and Claude. It checks whether a shopping agent can buy from a store, with UCP checks. It turns citation gaps into a content plan with drafts. It generates llms.txt, OKF and ARD files. It delivers shareable reports and runs as white label for agencies. It publishes a weekly benchmark across 20 markets and 15 industries, and the Observatory of brands in AI.