RRepoGEO

REPOGEO REPORT · LITE

gptscript-ai/gptscript

Default branch main · commit b374bab0 · scanned 6/21/2026, 3:11:52 PM

GitHub: 3,280 stars · 299 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
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 gptscript-ai/gptscript, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Refine README's opening sentence to highlight core differentiator

    Why:

    CURRENT
    # GPTScript
    
    GPTScript is a framework that allows Large Language Models (LLMs) to operate and interact with various systems.
    COPY-PASTE FIX
    # GPTScript
    
    GPTScript is a dedicated scripting language and runtime that allows Large Language Models (LLMs) to operate and interact with various systems, seamlessly interweaving natural language instructions with traditional shell commands and code.
  • mediumreadme#2
    Add a 'Comparison to Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add the following section to your README:
    
    ## Comparison to Alternatives
    
    GPTScript stands apart from general-purpose LLM libraries (like LangChain or LlamaIndex) and agent-focused tools (like AutoGPT) by offering a dedicated scripting language and runtime. This unique approach seamlessly interweaves natural language instructions for an LLM with traditional shell commands and code, providing a more direct and integrated way to orchestrate LLM interactions with any system.

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 gptscript-ai/gptscript
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. OpenAI Function Calling · recommended 1×
  4. Significant-Gravitas/AutoGPT · recommended 1×
  5. yoheinakajima/babyagi · recommended 1×
  • CATEGORY QUERY
    How can I enable an LLM to interact with local command-line tools and APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI Function Calling
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. BabyAGI (yoheinakajima/babyagi)
    6. subprocess
    7. requests (psf/requests)
    8. httpx (encode/httpx)
    9. Guardrails AI (guardrails-ai/guardrails)

    AI recommended 9 alternatives but never named gptscript-ai/gptscript. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps build AI assistants that automate workflows by calling external systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. OpenAI Assistants API
    5. Haystack by deepset
    6. AutoGPT

    AI recommended 6 alternatives but never named gptscript-ai/gptscript. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 gptscript-ai/gptscript?
    pass
    AI named gptscript-ai/gptscript explicitly

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

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

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

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gptscript-ai/gptscript — 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