RRepoGEO

REPOGEO REPORT · LITE

mithril-security/blindai

Default branch main · commit 63b9f1b0 · scanned 6/13/2026, 8:17:18 AM

GitHub: 511 stars · 35 forks

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 mithril-security/blindai, 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
    Strengthen the README's opening sentence to explicitly combine 'confidential AI inference' and 'secure enclaves'

    Why:

    CURRENT
    BlindAI is an AI privacy solution, allowing users to query popular AI models or serve their own models whilst ensuring that users' data remains private every step of the way.
    COPY-PASTE FIX
    BlindAI is a confidential AI inference solution that enables private model execution using secure enclaves, ensuring user data and models remain protected.
  • mediumreadme#2
    Add a sentence clarifying BlindAI's position relative to underlying confidential computing platforms

    Why:

    COPY-PASTE FIX
    It provides a software layer for deploying and querying AI models within Trusted Execution Environments (TEEs) like Intel SGX, AMD SEV, and other confidential computing platforms.
  • mediumreadme#3
    Explicitly state BlindAI's core differentiator from Homomorphic Encryption (HE) and Secure Multi-Party Computation (MPC) solutions early in the README

    Why:

    COPY-PASTE FIX
    Unlike Homomorphic Encryption (HE) or Secure Multi-Party Computation (MPC) solutions, BlindAI focuses on leveraging Trusted Execution Environments (TEEs) for efficient and secure confidential AI inference.

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 mithril-security/blindai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenMined PySyft
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenMined PySyft · recommended 1×
  2. Microsoft SEAL · recommended 1×
  3. Intel nGraph-HE · recommended 1×
  4. TensorFlow Privacy · recommended 1×
  5. FATE · recommended 1×
  • CATEGORY QUERY
    Need a solution for private AI model inference on sensitive data.
    you: not recommended
    AI recommended (in order):
    1. OpenMined PySyft
    2. Microsoft SEAL
    3. Intel nGraph-HE
    4. TensorFlow Privacy
    5. FATE
    6. CrypTen

    AI recommended 6 alternatives but never named mithril-security/blindai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to ensure data privacy for AI models using secure enclaves during inference?
    you: not recommended
    AI recommended (in order):
    1. Intel SGX
    2. Microsoft Azure Confidential Computing
    3. AMD SEV
    4. Google Cloud Confidential Computing
    5. Fortanix Confidential Computing Manager
    6. SCONE
    7. Mithril Security BlindAI

    AI recommended 7 alternatives but never named mithril-security/blindai. 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 mithril-security/blindai?
    pass
    AI named mithril-security/blindai explicitly

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

  • If a team adopts mithril-security/blindai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mithril-security/blindai 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 mithril-security/blindai solve, and who is the primary audience?
    pass
    AI named mithril-security/blindai explicitly

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

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mithril-security/blindai — 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