REPOGEO REPORT · LITE
RosettaCommons/RFdiffusion
Default branch main · commit 2d0c003d · scanned 6/18/2026, 9:27:11 AM
GitHub: 2,915 stars · 622 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface RosettaCommons/RFdiffusion, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add specific topics for protein design and scaffolding
Why:
COPY-PASTE FIXprotein-design, protein-scaffolding, motif-scaffolding, binder-design, diffusion-models, generative-ai, structural-biology, rosetta-commons
- highabout#2Update the repository's "About" description
Why:
CURRENTCode for running RFdiffusion
COPY-PASTE FIXOpen-source method for de novo protein structure generation, including motif scaffolding, binder design, and unconditional protein generation using diffusion models.
- mediumreadme#3Clarify the project's license in the README
Why:
COPY-PASTE FIX## License This project is licensed under [Specify License(s) here, e.g., a custom Rosetta Commons license or a combination of licenses]. Please refer to the LICENSE file for full details.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- ProteinMPNN · recommended 2×
- Rosetta · recommended 2×
- AlphaFold2 · recommended 1×
- RoseTTAFold · recommended 1×
- ProGen · recommended 1×
- CATEGORY QUERYHow can I generate novel protein structures from scratch or with conditional information?you: #3AI recommended (in order):
- AlphaFold2
- RoseTTAFold
- RFdiffusion ← you
- ProteinMPNN
- ProGen
- ESMFold
- ESM-2
- Rosetta
- Tranception
Show full AI answer
- CATEGORY QUERYWhat open-source methods exist for designing protein binders or scaffolding specific motifs?you: not recommendedAI recommended (in order):
- Rosetta
- AlphaFold/AlphaFold-Multimer
- ProteinMPNN
- RFdiffusion / FrameDiff
- PyRosetta
- Foldit
AI recommended 6 alternatives but never named RosettaCommons/RFdiffusion. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of RosettaCommons/RFdiffusion?passAI named RosettaCommons/RFdiffusion explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts RosettaCommons/RFdiffusion in production, what risks or prerequisites should they evaluate first?passAI named RosettaCommons/RFdiffusion explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo RosettaCommons/RFdiffusion solve, and who is the primary audience?passAI named RosettaCommons/RFdiffusion explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of RosettaCommons/RFdiffusion. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/RosettaCommons/RFdiffusion)<a href="https://repogeo.com/en/r/RosettaCommons/RFdiffusion"><img src="https://repogeo.com/badge/RosettaCommons/RFdiffusion.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
RosettaCommons/RFdiffusion — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite