B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Current
31%
31% -- attention degradation for RAG retrievers (2026)
Passages over 300 words cause a 31% attention degradation in RAG retrievers.
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
31%
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
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
GEO-SFE benchmark
Primary
Tier B
https://www.theanswerengine.ai/blog/what-is-aeo-2026 ↗
Source Article
What Is AEO? Answer Engine Optimization 2026
The Origin Window: Answer Engine Optimization is younger than 24 months as an academic field, which means the operators who install citation authority now compound for years before late entrants understand the rules (Aggarwal et al., KDD 2024; GEO-SFE, 2026). The implication is direct: AEO is a disc…
Original Research
GEO-SFE benchmark
· Original study ↗
Methodology
GEO-SFE benchmark (2026) on passage length effects in retrieval pipelines
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
RAG retrievers: 31% attention degradation. Source: GEO-SFE benchmark (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/long-passage-attention-degradation-31
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<blockquote cite="https://lighthousedata.io/data/long-passage-attention-degradation-31" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>31%</strong> -- attention degradation for RAG retrievers<br><small>Source: GEO-SFE benchmark (2026) · <a href="https://lighthousedata.io/data/long-passage-attention-degradation-31" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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