B
Evidence Grade B
Graded
under review
Safe to Cite
Recent
11%
11% -- generative performance improvement for LLMs with EmotionPrompts (2025)
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
11%
Unit
Percentage
Data Vintage
2025
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
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
Foundation Inc
Primary
Tier B
https://www.promptpanda.io/blog/emotional-prompts/ ↗
Source Article
Streamline your workflow with our secure prompt management tool, ensuring no perfect prompt ever gets lost again.
Emotional Prompts in AI
Impact of Emotional Prompts
Researchers have discovered that incorporating emotional prompts into AI tools based on large language models (LLMs) can significantly enhance their performance. These emotionally charged prompts, known as EmotionPrompts, have been shown to improve…
Original Research
Foundation Inc
· Original study ↗
Methodology
Human evaluation study of emotional prompts on LLM outputs; range of task-level improvements 8% to 110%
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
LLMs with EmotionPrompts: 11% generative performance improvement. Source: Foundation Inc (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/emotionprompts-generative-performance-11pct
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<blockquote cite="https://lighthousedata.io/data/emotionprompts-generative-performance-11pct" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>11%</strong> -- generative performance improvement for LLMs with EmotionPrompts<br><small>Source: Foundation Inc (2025) · <a href="https://lighthousedata.io/data/emotionprompts-generative-performance-11pct" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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