RRepoGEO

REPOGEO REPORT · LITE

project-oak/oak

Default branch main · commit 90a8a083 · scanned 5/13/2026, 9:47:09 AM

GitHub: 1,465 stars · 135 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 project-oak/oak, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    confidential-computing, trusted-execution-environments, tee, enclaves, attestation, distributed-systems, data-privacy, security
  • highreadme#2
    Reposition the README's opening sentence to highlight confidential computing

    Why:

    CURRENT
    Oak is a software platform for building distributed systems providing externally verifiable (or falsifiable) claims about system behaviors in a transparent way.
    COPY-PASTE FIX
    Oak is a **confidential computing platform** for building distributed systems with **enclave applications** that provide externally verifiable (or falsifiable) claims about system behaviors in a transparent way, enabling **remote attestation** and strong data control.
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL.

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 project-oak/oak
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Confidential Computing
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Confidential Computing · recommended 2×
  2. AWS Nitro Enclaves · recommended 2×
  3. Hyperledger Fabric · recommended 1×
  4. Apache Kafka · recommended 1×
  5. Apache Flink · recommended 1×
  • CATEGORY QUERY
    How to build distributed systems with strong data control and verifiable behavior claims?
    you: not recommended
    AI recommended (in order):
    1. Hyperledger Fabric
    2. Apache Kafka
    3. Apache Flink
    4. Spark Streaming
    5. Apache Ranger
    6. Concordium
    7. IPFS (InterPlanetary File System)
    8. Textile Powergate
    9. Filecoin
    10. Azure Confidential Computing
    11. Google Cloud Confidential Computing
    12. AWS Nitro Enclaves

    AI recommended 12 alternatives but never named project-oak/oak. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a platform for developing remotely attestable applications isolated from their host?
    you: not recommended
    AI recommended (in order):
    1. Intel SGX
    2. AMD SEV
    3. Microsoft Azure Confidential Computing
    4. Google Cloud Confidential Computing
    5. AWS Nitro Enclaves
    6. Open Enclave SDK

    AI recommended 6 alternatives but never named project-oak/oak. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 project-oak/oak?
    pass
    AI named project-oak/oak explicitly

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

  • If a team adopts project-oak/oak in production, what risks or prerequisites should they evaluate first?
    pass
    AI named project-oak/oak 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 project-oak/oak solve, and who is the primary audience?
    pass
    AI named project-oak/oak 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 project-oak/oak. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/project-oak/oak.svg)](https://repogeo.com/en/r/project-oak/oak)
HTML
<a href="https://repogeo.com/en/r/project-oak/oak"><img src="https://repogeo.com/badge/project-oak/oak.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

project-oak/oak — 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