cxcscmu / AutoGEO
[ICLR'26] AutoGEO: a Generative Engine Optimization framework to automatically learn generative engine preferences, and rewrite web contents for more traction.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Paper: "What Generative Search Engines Like and How to Optimize Web Content Cooperatively" 👥 Authors: Yujiang Wu*, Shanshan Zhong*, Yubin Kim, Chenyan Xiong (*Equal contribution)
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 238
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- Shell 1%
- Dockerfile <1%
- Jinja <1%
Topics
- 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
Project record
- JobOther AI tools
- StatusListed
- Commits25
- Forks30
- Watching4
- Stars in 28 days+11
- CreatedSep 30, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026