REPOGEO REPORT · LITE
ShinMegamiBoson/OpenPlanter
Default branch main · commit 81d75620 · scanned 7/1/2026, 5:26:45 AM
GitHub: 1,643 stars · 247 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highabout#1Add a concise 'About' description to the repository
Why:
COPY-PASTE FIXA recursive-language-model investigation agent with a desktop GUI for analyzing public records, financial datasets, and surfacing non-obvious connections.
- hightopics#2Add relevant topics to the repository
Why:
COPY-PASTE FIXai-agent, llm, investigation, public-records, financial-analysis, osint, knowledge-graph, desktop-app, tauri
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://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.
- Python · recommended 1×
- Pandas · recommended 1×
- NumPy · recommended 1×
- Scikit-learn · recommended 1×
- Apache Spark · recommended 1×
- CATEGORY QUERYHow to build an AI agent for investigating public records and financial datasets?you: not recommendedAI recommended (in order):
- Python
- Pandas
- NumPy
- Scikit-learn
- Apache Spark
- PySpark
- Elasticsearch
- Kibana
- Hugging Face Transformers
- PostgreSQL
- PostGIS
- Google Cloud Platform (GCP)
- Amazon Web Services (AWS)
- Microsoft Azure
- BigQuery
- Cloud Storage
- AI Platform
- S3
- EC2
- SageMaker
- Athena
- Blob Storage
- Virtual Machines
- Azure Machine Learning
- Azure Synapse Analytics
- Airflow
- Prefect
- Dagster
AI recommended 28 alternatives but never named ShinMegamiBoson/OpenPlanter. This is the gap to close.
Show full AI answer
- CATEGORY QUERYTool for autonomously analyzing disparate datasets, visualizing entity relationships with a desktop app?you: not recommendedAI recommended (in order):
- Palantir Foundry
- Maltego
- IBM i2 Analyst's Notebook
- Neo4j Bloom
- Gephi
- Tableau Prep Builder
- Tableau Desktop
- 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 completenessfail
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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
Drop this badge into the README of ShinMegamiBoson/OpenPlanter. 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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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