RRepoGEO

REPOGEO REPORT · LITE

dora-rs/dora

Default branch main · commit 97a9da11 · scanned 5/13/2026, 5:52:48 PM

GitHub: 3,753 stars · 396 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 dora-rs/dora, 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
    Reposition README's opening statement to emphasize core purpose

    Why:

    CURRENT
    **Agentic Dataflow-Oriented Robotic Architecturea 100% Rust framework for building real-time robotics and AI applications.
    COPY-PASTE FIX
    Dora is a 100% Rust framework providing low-latency, composable, and distributed dataflow middleware for building real-time AI-based robotic applications.
  • mediumtopics#2
    Add more specific keywords to repository topics

    Why:

    CURRENT
    dataflow, embodied-ai, low-latency, robotics, rust
    COPY-PASTE FIX
    dataflow, embodied-ai, low-latency, robotics, rust, middleware, distributed-systems, real-time, ai-robotics, pipelines
  • mediumreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add the following heading to your README, ideally after the 'Features' section: `## Comparison with Alternatives`. Follow this with content that directly compares Dora with ROS 2, NVIDIA Isaac SDK, Apache Flink, and Apache Kafka, highlighting Dora's strengths in Rust-native, low-latency, and AI-robotics specific dataflow.

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 dora-rs/dora
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS 2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS 2 · recommended 2×
  2. NVIDIA Isaac SDK · recommended 1×
  3. Apache Flink · recommended 1×
  4. Apache Kafka · recommended 1×
  5. ZeroMQ · recommended 1×
  • CATEGORY QUERY
    How to build low-latency, distributed dataflow pipelines for real-time robotic AI applications?
    you: not recommended
    AI recommended (in order):
    1. ROS 2
    2. NVIDIA Isaac SDK
    3. Apache Flink
    4. Apache Kafka
    5. ZeroMQ
    6. Google gRPC

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

    Show full AI answer
  • CATEGORY QUERY
    What framework simplifies creating composable, graph-based AI robotics applications with Rust?
    you: not recommended
    AI recommended (in order):
    1. GzRs
    2. ROS 2
    3. Nushell
    4. Bevy Engine
    5. Tauri

    AI recommended 5 alternatives but never named dora-rs/dora. 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 dora-rs/dora?
    pass
    AI named dora-rs/dora explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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