RRepoGEO

REPOGEO REPORT · LITE

ShinMegamiBoson/OpenPlanter

Default branch main · commit 81d75620 · scanned 5/19/2026, 7:46:45 PM

GitHub: 1,615 stars · 254 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

    Why:

    COPY-PASTE FIX
    A recursive-language-model investigation agent with a desktop GUI for analyzing public financial, lobbying, and corporate data to surface non-obvious connections.
  • hightopics#2
    Add specific topics for AI agents and data analysis

    Why:

    COPY-PASTE FIX
    ai-agent, llm, investigation, data-analysis, public-data, financial-data, lobbying, corporate-registry, entity-resolution, knowledge-graph, desktop-app, tauri, cytoscape
  • mediumhomepage#3
    Add a homepage URL

    Why:

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

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
crummy/BeautifulSoup
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. crummy/BeautifulSoup · recommended 1×
  2. scrapy/scrapy · recommended 1×
  3. apache/nifi · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. Anthropic Claude 3 · recommended 1×
  • CATEGORY QUERY
    How can an autonomous AI agent help analyze complex public financial and lobbying data?
    you: not recommended
    AI recommended (in order):
    1. Beautiful Soup (crummy/BeautifulSoup)
    2. Scrapy (scrapy/scrapy)
    3. Apache Nifi (apache/nifi)
    4. OpenAI GPT-4
    5. Anthropic Claude 3
    6. OpenRefine (OpenRefine/OpenRefine)
    7. Databricks Lakehouse Platform
    8. Delta Lake (delta-io/delta)
    9. Google Cloud Dataflow
    10. Apache Flink (apache/flink)
    11. TensorFlow (tensorflow/tensorflow)
    12. PyTorch (pytorch/pytorch)
    13. scikit-learn (scikit-learn/scikit-learn)
    14. Neo4j (neo4j/neo4j)
    15. Splunk
    16. Hugging Face Transformers (huggingface/transformers)
    17. spaCy (explosion/spaCy)
    18. Gensim (piskvorky/gensim)
    19. XGBoost (dmlc/xgboost)
    20. LightGBM (microsoft/LightGBM)
    21. Prophet (facebook/prophet)
    22. H2O.ai (h2oai/h2o-3)

    AI recommended 22 alternatives but never named ShinMegamiBoson/OpenPlanter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What desktop AI tools visualize entity relationships across heterogeneous public datasets?
    you: not recommended
    AI recommended (in order):
    1. Gephi (gephi/gephi)
    2. Neo4j Desktop
    3. Neo4j Bloom
    4. Tableau Desktop
    5. Cytoscape (cytoscape/cytoscape)
    6. yEd Graph Editor

    AI recommended 6 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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MARKDOWN (README)
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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