RRepoGEO

REPOGEO REPORT · LITE

jekhokie/raspberry-noaa-v2

Default branch master · commit 848cbf35 · scanned 6/10/2026, 3:12:14 AM

GitHub: 641 stars · 117 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
2 / 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 jekhokie/raspberry-noaa-v2, 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 specific topics to the repository

    Why:

    COPY-PASTE FIX
    ["raspberry-pi", "noaa", "weather-satellite", "sdr", "ground-station", "apt", "meteor", "satellite-reception", "automation", "web-interface"]
  • highreadme#2
    Add a concise, value-driven opening sentence to the README

    Why:

    COPY-PASTE FIX
    raspberry-noaa-v2 is a fully automated, integrated, and user-friendly system for capturing and decoding NOAA and METEOR weather satellite images using a Raspberry Pi, featuring a web interface for easy management and viewing.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/jekhokie/raspberry-noaa-v2

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 jekhokie/raspberry-noaa-v2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
WXtoImg
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. WXtoImg · recommended 2×
  2. Raspberry Pi 4 Model B · recommended 1×
  3. Pi 3B+ · recommended 1×
  4. RTL-SDR Blog V3 R820T2 RTL2832U 1PPM TCXO SMA Software Defined Radio · recommended 1×
  5. NooElec · recommended 1×
  • CATEGORY QUERY
    How to set up a Raspberry Pi for receiving and processing NOAA weather satellite images?
    you: not recommended
    AI recommended (in order):
    1. Raspberry Pi 4 Model B
    2. Pi 3B+
    3. RTL-SDR Blog V3 R820T2 RTL2832U 1PPM TCXO SMA Software Defined Radio
    4. NooElec
    5. RTL-SDR Blog
    6. NooElec SAWbird+ NOAA
    7. RTL-SDR Blog LNA
    8. Raspberry Pi OS
    9. Raspberry Pi Imager
    10. rtl-sdr
    11. WXtoImg
    12. WXtoImg website
    13. SoapySDR
    14. soapysdr-module-rtlsdr
    15. GQRX
    16. raspberrypi-ui-mods
    17. Predict
    18. Celestrak
    19. at
    20. rtl_fm

    AI recommended 20 alternatives but never named jekhokie/raspberry-noaa-v2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the best way to build a low-cost ground station for weather satellite reception?
    you: not recommended
    AI recommended (in order):
    1. SDRplay RSP1A
    2. Quadrifilar Helix (QFH) Antenna
    3. SDRUno
    4. WXtoImg
    5. SDR#
    6. SDR Console V3
    7. LRPTDecoder
    8. NooElec NESDR SMArt v5
    9. RTL-SDR dongle
    10. V-Dipole Antenna
    11. Airspy Mini
    12. Turnstile Antenna
    13. LNA4ALL
    14. NooElec SAWbird NOAA
    15. Gpredict
    16. Orbitron

    AI recommended 16 alternatives but never named jekhokie/raspberry-noaa-v2. 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 jekhokie/raspberry-noaa-v2?
    pass
    AI did not name jekhokie/raspberry-noaa-v2 — likely talking about a different project

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

  • If a team adopts jekhokie/raspberry-noaa-v2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jekhokie/raspberry-noaa-v2 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 jekhokie/raspberry-noaa-v2 solve, and who is the primary audience?
    pass
    AI named jekhokie/raspberry-noaa-v2 explicitly

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

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jekhokie/raspberry-noaa-v2 — 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
jekhokie/raspberry-noaa-v2 — RepoGEO report