RRepoGEO

REPOGEO REPORT · LITE

ShinMegamiBoson/OpenPlanter

Default branch main · commit 81d75620 · scanned 7/1/2026, 5:26:45 AM

GitHub: 1,643 stars · 247 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 ShinMegamiBoson/OpenPlanter, 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
  • highabout#1
    Add a concise 'About' description to the repository

    Why:

    COPY-PASTE FIX
    A recursive-language-model investigation agent with a desktop GUI for analyzing public records, financial datasets, and surfacing non-obvious connections.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent, llm, investigation, public-records, financial-analysis, osint, knowledge-graph, desktop-app, tauri
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/ShinMegamiBoson/OpenPlanter/releases

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 ShinMegamiBoson/OpenPlanter
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Python · recommended 1×
  2. Pandas · recommended 1×
  3. NumPy · recommended 1×
  4. Scikit-learn · recommended 1×
  5. Apache Spark · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent for investigating public records and financial datasets?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. Pandas
    3. NumPy
    4. Scikit-learn
    5. Apache Spark
    6. PySpark
    7. Elasticsearch
    8. Kibana
    9. Hugging Face Transformers
    10. PostgreSQL
    11. PostGIS
    12. Google Cloud Platform (GCP)
    13. Amazon Web Services (AWS)
    14. Microsoft Azure
    15. BigQuery
    16. Cloud Storage
    17. AI Platform
    18. S3
    19. EC2
    20. SageMaker
    21. Athena
    22. Blob Storage
    23. Virtual Machines
    24. Azure Machine Learning
    25. Azure Synapse Analytics
    26. Airflow
    27. Prefect
    28. Dagster

    AI recommended 28 alternatives but never named ShinMegamiBoson/OpenPlanter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for autonomously analyzing disparate datasets, visualizing entity relationships with a desktop app?
    you: not recommended
    AI recommended (in order):
    1. Palantir Foundry
    2. Maltego
    3. IBM i2 Analyst's Notebook
    4. Neo4j Bloom
    5. Gephi
    6. Tableau Prep Builder
    7. Tableau Desktop
    8. Microsoft Power BI Desktop

    AI recommended 8 alternatives but never named ShinMegamiBoson/OpenPlanter. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 ShinMegamiBoson/OpenPlanter?
    pass
    AI named ShinMegamiBoson/OpenPlanter explicitly

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

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

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

Embed your GEO score

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ShinMegamiBoson/OpenPlanter — 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