REPOGEO REPORT · LITE
matter-labs/awesome-zero-knowledge-proofs
Default branch master · commit c479feda · scanned 6/26/2026, 9:38:49 AM
GitHub: 5,805 stars · 918 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.
3 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 matter-labs/awesome-zero-knowledge-proofs, 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.
- highhomepage#1Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIXhttps://github.com/matter-labs/awesome-zero-knowledge-proofs
- hightopics#2Expand GitHub topics to include 'awesome-list' and 'learning'
Why:
CURRENTexplaining-snarks, knowledge-proofs, snark, team-crypto, zk-snarks
COPY-PASTE FIXexplaining-snarks, knowledge-proofs, snark, team-crypto, zk-snarks, awesome-list, learning, education
- mediumreadme#3Clarify the existing license in the README
Why:
COPY-PASTE FIX## License The licensing terms for this project are detailed in the [LICENSE](LICENSE) file.
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.
- ZKProof.org · recommended 1×
- Awesome Zero Knowledge Proofs · recommended 1×
- circom · recommended 1×
- snarkjs · recommended 1×
- bellman · recommended 1×
- CATEGORY QUERYWhere can I find comprehensive resources to learn about zero-knowledge proofs and their use cases?you: not recommendedAI recommended (in order):
- ZKProof.org
- Awesome Zero Knowledge Proofs
- circom
- snarkjs
- bellman
- gnark
AI recommended 6 alternatives but never named matter-labs/awesome-zero-knowledge-proofs. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the key differences and trade-offs between various ZKP systems like SNARKs and STARKs?you: not recommendedAI recommended (in order):
- Groth16
- Plonk
- Halo2
- Marlin
- Cairo (StarkWare)
- Winterfell (Facebook/Meta)
- SP1 (Succinct Labs)
AI recommended 7 alternatives but never named matter-labs/awesome-zero-knowledge-proofs. 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 matter-labs/awesome-zero-knowledge-proofs?passAI did not name matter-labs/awesome-zero-knowledge-proofs — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts matter-labs/awesome-zero-knowledge-proofs in production, what risks or prerequisites should they evaluate first?passAI named matter-labs/awesome-zero-knowledge-proofs 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 matter-labs/awesome-zero-knowledge-proofs solve, and who is the primary audience?passAI did not name matter-labs/awesome-zero-knowledge-proofs — likely talking about a different project
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 matter-labs/awesome-zero-knowledge-proofs. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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matter-labs/awesome-zero-knowledge-proofs — 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