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cxcscmu/AutoGEO
[ICLR'26] AutoGEO: a Generative Engine Optimization framework to automatically learn generative engine preferences, and rewrite web contents for more traction.
113 8 +8/wk
GitHub 🔥 Heating Up +21.5%
ai-search-engine ai-search-optimization content-optimization generative-ai generative-engine-optimization generative-search grpo iclr iclr2026 large-language-models retrieval-augmented-generation search
Trend
5
Star & Fork Trend (26 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
cxcscmu/AutoGEO has +8 stars this period . 7-day velocity: 21.5%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | AutoGEO | GraTAG | vorn | gnomix |
|---|---|---|---|---|
| Stars | 113 | 113 | 114 | 112 |
| Forks | 8 | 7 | 1 | 19 |
| Weekly Growth | +8 | +31 | +0 | +0 |
| Language | Python | Python | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | MIT | NOASSERTION |
Capability Radar vs GraTAG
AutoGEO
GraTAG
Maintenance Activity 100
Last code push 5 days ago.
Community Engagement 35
Fork-to-star ratio: 7.1%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 100
+8 stars this period — 7.08% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.