REPOGEO REPORT · LITE
MichelNivard/gptstudio
Default branch main · commit c6cb1525 · scanned 6/8/2026, 10:56:59 AM
GitHub: 991 stars · 118 forks
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 MichelNivard/gptstudio, 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.
- highreadme#1Reposition README opening to clarify "RStudio addins" and "LLM integration"
Why:
CURRENTThe goal of gptstudio is for R programmers to easily incorporate use of large language models (LLMs) into their project workflows.
COPY-PASTE FIXgptstudio provides a suite of **RStudio addins** designed to seamlessly **integrate** large language models (LLMs) directly into your RStudio workflow, empowering R programmers with AI-assisted coding, writing, and analysis.
- mediumtopics#2Add more specific topics for RStudio LLM integration and AI assistance
Why:
CURRENTchatgpt, gpt-3, r, rstats, rstats-package, rstudio, rstudio-addin
COPY-PASTE FIXchatgpt, gpt-3, r, rstats, rstats-package, rstudio, rstudio-addin, llm-integration, ai-assistant, code-generation, text-generation, data-analysis-tools
- lowlicense#3Clarify the project's license in the README
Why:
COPY-PASTE FIXAdd a section to your README, for example: "## License\nThis project is licensed under [Specify Actual License Name(s) Here]. Please refer to the LICENSE file for full details."
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.
- r-lib/openai · recommended 2×
- r-ollama/ollamar · recommended 2×
- Azure/AzureOpenAI.R · recommended 2×
- GitHub Copilot · recommended 1×
- Tabnine · recommended 1×
- CATEGORY QUERYHow can I get AI-powered coding and writing assistance directly within R?you: #1AI recommended (in order):
- gptstudio (MichelNivard/gptstudio) ← you
- openai (r-lib/openai)
- ollamar (r-ollama/ollamar)
- AzureOpenAI (Azure/AzureOpenAI.R)
- GitHub Copilot
- Tabnine
Show full AI answer
- CATEGORY QUERYWhat are the best tools for integrating large language models into RStudio for analysis?you: #8AI recommended (in order):
- openai R package (r-lib/openai)
- ollamar R package (r-ollama/ollamar)
- huggingfaceR R package (huggingface/huggingfaceR)
- Hugging Face Inference API
- httr2 R package (r-lib/httr2)
- httr R package (r-lib/httr)
- AzureOpenAI R package (Azure/AzureOpenAI.R)
- gptstudio RStudio Addin (MichelNivard/gptstudio) ← you
- reticulate R package (rstudio/reticulate)
- transformers (huggingface/transformers)
- langchain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- 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 MichelNivard/gptstudio?passAI named MichelNivard/gptstudio explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts MichelNivard/gptstudio in production, what risks or prerequisites should they evaluate first?passAI named MichelNivard/gptstudio 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 MichelNivard/gptstudio solve, and who is the primary audience?passAI named MichelNivard/gptstudio 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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MichelNivard/gptstudio — 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