RRepoGEO

REPOGEO REPORT · LITE

griptape-ai/griptape

Default branch main · commit d1d72b1e · scanned 5/17/2026, 10:21:37 AM

GitHub: 2,527 stars · 233 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 griptape-ai/griptape, 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
  • highreadme#1
    Reposition the README's opening paragraph to emphasize AI agents and workflows

    Why:

    CURRENT
    Griptape is a Python framework designed to simplify the development of generative AI (genAI) applications. It offers a set of straightforward, flexible abstractions for working with areas such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and much more.
    COPY-PASTE FIX
    Griptape is a Python framework for building modular AI agents and complex LLM workflows. It provides straightforward, flexible abstractions for developing generative AI (genAI) applications with chain-of-thought reasoning, custom tools, and memory.
  • hightopics#2
    Add specific topics for AI agents and workflows

    Why:

    CURRENT
    ai, anthropic, claude, gpt, huggingface, llm, openai, python
    COPY-PASTE FIX
    ai, anthropic, claude, gpt, huggingface, llm, openai, python, ai-agents, llm-agents, ai-workflows, llm-workflows, generative-ai
  • mediumreadme#3
    Add a "Why Griptape?" section to highlight its differentiators

    Why:

    COPY-PASTE FIX
    ## ✨ Why Griptape?
Griptape stands out with its opinionated, structured, and declarative approach to building AI agents and workflows. Unlike more generic frameworks, Griptape prioritizes explicit definitions for agent behavior and workflow orchestration, leading to enhanced observability and easier development of complex generative AI applications.

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 griptape-ai/griptape
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Guidance · recommended 2×
  4. deepset/Haystack · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How can I build modular AI agents and complex LLM workflows using Python?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. CrewAI
    5. Autogen
    6. Guidance

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

    Show full AI answer
  • CATEGORY QUERY
    What Python framework simplifies developing generative AI applications with custom tools and memory?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Magentic
    5. Instructor
    6. Guidance

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

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 griptape-ai/griptape?
    pass
    AI named griptape-ai/griptape explicitly

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

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

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

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griptape-ai/griptape — 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