RRepoGEO

REPOGEO REPORT · LITE

microsoft/SEAL

Default branch main · commit e3476fad · scanned 5/20/2026, 1:16:25 AM

GitHub: 3,973 stars · 769 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 microsoft/SEAL, 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.

OVERALL DIRECTION
  • highreadme#1
    Enhance README's opening to state problem solved for sensitive data

    Why:

    CURRENT
    Microsoft SEAL is an easy-to-use open-source ([MIT licensed](LICENSE)) homomorphic encryption library developed by the Cryptography Research Group at Microsoft.
    COPY-PASTE FIX
    Microsoft SEAL is an easy-to-use open-source ([MIT licensed](LICENSE)) homomorphic encryption library developed by the Cryptography Research Group at Microsoft. It enables computations directly on encrypted data, allowing developers to build privacy-preserving applications that handle sensitive information without decryption.
  • mediumtopics#2
    Add more specific use-case topics

    Why:

    CURRENT
    cryptography, encryption, homomorphic-encryption
    COPY-PASTE FIX
    cryptography, encryption, homomorphic-encryption, privacy-preserving-computation, secure-computation
  • lowreadme#3
    Add a dedicated 'Use Cases' or 'Applications' section to the README

    Why:

    COPY-PASTE FIX
    Consider adding a new top-level section to the README, for example, '## Use Cases and Applications', detailing common scenarios where Microsoft SEAL is applied to protect sensitive data and enable secure computations.

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.

Recall
0 / 2
0% of queries surface microsoft/SEAL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft SEAL
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft SEAL · recommended 2×
  2. PALISADE · recommended 1×
  3. OpenFHE · recommended 1×
  4. IBM HElib · recommended 1×
  5. MP-SPDZ · recommended 1×
  • CATEGORY QUERY
    How to process sensitive data without decryption using advanced cryptographic techniques?
    you: not recommended
    AI recommended (in order):
    1. Microsoft SEAL
    2. PALISADE
    3. OpenFHE
    4. IBM HElib
    5. MP-SPDZ
    6. SCALE-MAMBA
    7. ABY
    8. Obliv-C
    9. snarkjs
    10. circom
    11. Bellman
    12. Plonky2
    13. Google's Differential Privacy Library
    14. OpenMined's PySyft
    15. SmartNoise
    16. CryptDB
    17. Mylar

    AI recommended 17 alternatives but never named microsoft/SEAL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What C++ libraries enable secure computations on encrypted information for privacy?
    you: not recommended
    AI recommended (in order):
    1. Microsoft SEAL
    2. HElib
    3. Lattigo
    4. TFHE (Fully Homomorphic Encryption over the Torus)
    5. EMP-toolkit
    6. FHEW/APHE
    7. libOTe

    AI recommended 7 alternatives but never named microsoft/SEAL. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

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 microsoft/SEAL?
    pass
    AI named microsoft/SEAL explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts microsoft/SEAL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/SEAL 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 microsoft/SEAL solve, and who is the primary audience?
    pass
    AI named microsoft/SEAL 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 microsoft/SEAL. 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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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/microsoft/SEAL"><img src="https://repogeo.com/badge/microsoft/SEAL.svg" alt="RepoGEO" /></a>
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microsoft/SEAL — 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