RRepoGEO

REPOGEO REPORT · LITE

pnoker/iot-dc3

Default branch main · commit 5293ee1e · scanned 6/27/2026, 10:42:20 AM

GitHub: 641 stars · 219 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 pnoker/iot-dc3, 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
  • highhomepage#1
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://iotdc3.com (or your project's official website)
  • highabout#2
    Enhance the 'About' description to explicitly include 'industrial'

    Why:

    CURRENT
    IoT DC3 is a fully open-source distributed Internet of Things (IoT) platform built on Spring Cloud. It accelerates IoT project development and simplifies IoT device management, providing comprehensive solutions for building robust IoT systems.
    COPY-PASTE FIX
    IoT DC3 is a fully open-source distributed **industrial** Internet of Things (IoT) platform built on Spring Cloud. It accelerates IoT project development and simplifies IoT device management, providing comprehensive solutions for building robust IoT systems.
  • mediumreadme#3
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    Add a section like '## License' in your README, stating clearly which license(s) apply to the project (e.g., 'This project is licensed under the [Your License Name] - see the LICENSE file for details.').

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 pnoker/iot-dc3
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Eclipse Ditto
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Eclipse Ditto · recommended 2×
  2. Eclipse Hono · recommended 2×
  3. ThingsBoard · recommended 1×
  4. OpenRemote · recommended 1×
  5. Kaa IoT Platform · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source distributed IoT platform built on Spring Cloud for device management.
    you: not recommended
    AI recommended (in order):
    1. ThingsBoard
    2. Eclipse Ditto
    3. Eclipse Hono
    4. OpenRemote
    5. Kaa IoT Platform

    AI recommended 5 alternatives but never named pnoker/iot-dc3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust industrial IoT solutions for managing diverse devices and collecting data?
    you: not recommended
    AI recommended (in order):
    1. AWS IoT Core
    2. Microsoft Azure IoT Hub
    3. Azure IoT Central
    4. Google Cloud IoT Core
    5. Siemens MindSphere
    6. PTC ThingWorx
    7. HiveMQ
    8. Eclipse IoT
    9. Eclipse Ditto
    10. Eclipse Hono

    AI recommended 10 alternatives but never named pnoker/iot-dc3. 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 pnoker/iot-dc3?
    pass
    AI named pnoker/iot-dc3 explicitly

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

  • If a team adopts pnoker/iot-dc3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pnoker/iot-dc3 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 pnoker/iot-dc3 solve, and who is the primary audience?
    pass
    AI named pnoker/iot-dc3 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 pnoker/iot-dc3. 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/pnoker/iot-dc3.svg)](https://repogeo.com/en/r/pnoker/iot-dc3)
HTML
<a href="https://repogeo.com/en/r/pnoker/iot-dc3"><img src="https://repogeo.com/badge/pnoker/iot-dc3.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

pnoker/iot-dc3 — 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