RRepoGEO

REPOGEO REPORT · LITE

nasa-jpl/rosa

Default branch main · commit e7e53754 · scanned 6/27/2026, 7:41:46 AM

GitHub: 1,555 stars · 175 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)

3 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 nasa-jpl/rosa, 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 the README's opening to clarify ROSA's specialized role in robotics

    Why:

    CURRENT
    <div align="center">
  The ROS Agent (ROSA) is designed to interact with ROS-based<br>robotics systems using natural language queries. 🗣️🤖
</div>
...
ROSA is your AI-powered assistant for ROS1 and ROS2 systems. Built on the Langchain framework, ROSA helps you interact with robots using natural language, making robotics development more accessible and efficient.
    COPY-PASTE FIX
    <div align="center">
  ROSA (The ROS Agent) is a specialized AI agent designed to bridge Large Language Models (LLMs) with ROS1- and ROS2-based robotics systems. It enables robot developers to inspect, diagnose, understand, and operate complex robots using natural language queries, going far beyond generic LLM capabilities. 🗣️🤖
</div>
  • mediumabout#2
    Refine the repository description to emphasize ROSA's unique value proposition

    Why:

    CURRENT
    ROSA 🤖 is an AI Agent designed to interact with ROS1- and ROS2-based robotics systems using natural language queries. ROSA helps robot developers inspect, diagnose, understand, and operate robots.
    COPY-PASTE FIX
    ROSA 🤖 is a specialized AI Agent that integrates Large Language Models (LLMs) with ROS1- and ROS2-based robotics systems. It empowers robot developers to inspect, diagnose, understand, and operate complex robots using natural language queries, providing capabilities beyond generic LLMs.
  • lowcomparison#3
    Add a 'Why ROSA? Beyond Generic LLMs' section to the README

    Why:

    COPY-PASTE FIX
    ## Why ROSA? Beyond Generic LLMs

While Large Language Models (LLMs) like ChatGPT can process natural language, ROSA is specifically engineered to bridge these powerful models with the complexities of ROS-based robotics. Unlike generic LLMs, ROSA provides:

*   **Direct ROS Integration:** Seamlessly interacts with ROS topics, services, and actions.
*   **Robotics-Specific Tools:** Comes with pre-built tools for common robot inspection, diagnosis, and operation tasks.
*   **Contextual Understanding:** Maintains state and context relevant to your robot's environment.
*   **Extensibility:** Easily adaptable to custom robot configurations and new ROS tools.

ROSA is not just an LLM; it's an intelligent agent designed for the unique challenges of robotics development and operation.

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 nasa-jpl/rosa
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. GPT-3.5 · recommended 1×
  3. GPT-4 · recommended 1×
  4. OpenAI's Whisper API · recommended 1×
  5. Google Cloud Speech-to-Text · recommended 1×
  • CATEGORY QUERY
    How can I interact with my ROS-based robot using natural language commands?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. GPT-3.5
    3. GPT-4
    4. OpenAI's Whisper API
    5. Google Cloud Speech-to-Text
    6. Vosk
    7. Rasa
    8. Google Dialogflow
    9. Mycroft AI
    10. Snips
    11. Sonos Voice Control
    12. Rhasspy
    13. CMU Sphinx

    AI recommended 13 alternatives but never named nasa-jpl/rosa. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI assistant tools help developers diagnose and operate robotics systems efficiently?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Isaac Sim
    2. Isaac ROS
    3. OpenAI GPT-4
    4. Claude 3
    5. Google Gemini
    6. ROS 2
    7. Nav2
    8. MoveIt 2
    9. Datadog
    10. Grafana
    11. AWS RoboMaker
    12. Gazebo

    AI recommended 12 alternatives but never named nasa-jpl/rosa. 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 nasa-jpl/rosa?
    pass
    AI named nasa-jpl/rosa explicitly

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

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

Subscribe to Pro for deep diagnoses

nasa-jpl/rosa — 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