B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Current
45%
45% -- engagement differential for keyword-translated content (2026)
Keyword-translated content saw 45% lower engagement than culturally contextualized content.
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Lighthouse Research Team
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Source verified
Evidence graded
Value
45%
Unit
Percentage
Data Vintage
2026
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
McKinsey
Primary
Tier C
https://rctrl.com/blog/international-aeo-chatgpt-non-english-queries ↗
Source Article
International AEO: Non-English AI Citations Playbook
Over half of active ChatGPT consumer users now primarily speak a language other than English. That is OpenAI's own Signals program data. The top three non-English languages are Spanish, Portuguese, and Arabic. The fastest-growing user languages inside ChatGPT are Uzbek, Kazakh, and Burmese. AI searc…
Original Research
McKinsey
· Original study ↗
Methodology
Cited across McKinsey localization research and practitioner sources
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
keyword-translated content: 45% engagement differential. Source: McKinsey (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/translated-content-engagement-45-lower
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<blockquote cite="https://lighthousedata.io/data/translated-content-engagement-45-lower" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>45%</strong> -- engagement differential for keyword-translated content<br><small>Source: McKinsey (2026) · <a href="https://lighthousedata.io/data/translated-content-engagement-45-lower" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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