RRepoGEO

REPOGEO REPORT · LITE

ccbogel/QualCoder

Default branch master · commit 18722cfa · scanned 5/30/2026, 10:07:00 PM

GitHub: 625 stars · 128 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 ccbogel/QualCoder, 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
    Expand repository topics to improve category visibility

    Why:

    CURRENT
    qualitative-data-analysis
    COPY-PASTE FIX
    qualitative-data-analysis, caqdas, qualitative-research, data-analysis, text-analysis, audio-analysis, video-analysis, coding, thematic-analysis, grounded-theory, python, pyqt6
  • highreadme#2
    Add 'CAQDAS' to the README's opening paragraph

    Why:

    CURRENT
    QualCoder is a qualitative data analysis application written in Python.
    COPY-PASTE FIX
    QualCoder is a free and open-source CAQDAS (Computer-Assisted Qualitative Data Analysis Software) application written in Python.
  • mediumabout#3
    Update the repository description to highlight AI integration

    Why:

    CURRENT
    Qualitative data analysis for text, images, audio, video. Cross platform. Python 3.12 or newer and PyQt6.
    COPY-PASTE FIX
    Qualitative data analysis (CAQDAS) for text, images, audio, video, with integrated AI models (e.g., GPT-4) for enhanced exploration and analysis. Cross-platform, built with Python 3.12+ and PyQt6.

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 ccbogel/QualCoder
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
remram44/taguette
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. remram44/taguette · recommended 1×
  2. QDAcity/QDAcity · recommended 1×
  3. R-QDA/RQDA · recommended 1×
  4. UmeaUniversity/OpenCode · recommended 1×
  5. transana/transana · recommended 1×
  • CATEGORY QUERY
    What open-source tools help analyze qualitative data from text, audio, and video?
    you: not recommended
    AI recommended (in order):
    1. Taguette (remram44/taguette)
    2. QDAcity (QDAcity/QDAcity)
    3. RQDA (R-QDA/RQDA)
    4. OpenCode (UmeaUniversity/OpenCode)
    5. Transana (transana/transana)
    6. ELAN (MPI-PL-IR/ELAN)
    7. InqScribe

    AI recommended 7 alternatives but never named ccbogel/QualCoder. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a cross-platform Python application for coding and analyzing diverse qualitative research data.
    you: not recommended
    AI recommended (in order):
    1. Taguette (remy/taguette)
    2. QDAcity
    3. NVivo
    4. PyNVivo (QSRInternational/PyNVivo)
    5. ATLAS.ti
    6. Jupyter Notebooks (jupyter/notebook)
    7. NLTK (nltk/nltk)
    8. spaCy (explosion/spaCy)
    9. pandas (pandas-dev/pandas)
    10. Matplotlib (matplotlib/matplotlib)
    11. Seaborn (mwaskom/seaborn)
    12. Quirkos

    AI recommended 12 alternatives but never named ccbogel/QualCoder. 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 ccbogel/QualCoder?
    pass
    AI named ccbogel/QualCoder explicitly

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

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

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MARKDOWN (README)
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ccbogel/QualCoder — 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