RRepoGEO

REPOGEO REPORT · LITE

Undertone0809/promptulate

Default branch main · commit 85fe5455 · scanned 6/2/2026, 9:17:53 AM

GitHub: 511 stars · 43 forks

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 Undertone0809/promptulate, 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 highlight core differentiators

    Why:

    CURRENT
    Promptulate is an AI Agent application development framework crafted by Cogit Lab, which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀
    COPY-PASTE FIX
    Promptulate is a lightweight and Pythonic AI Agent application development framework, designed by Cogit Lab to offer a more concise and efficient alternative to complex LLM orchestration tools. It integrates the best ideas from the open-source community, enabling developers to build powerful Agent applications with minimal code, making LLM, Agent, Tool, and RAG manipulation straightforward and accessible. 🚀
  • mediumtopics#2
    Add more specific framework and orchestration topics

    Why:

    CURRENT
    agent, autogen, chatgpt, gpt-4, langchain, language-agent, llm, pne, prompt, prompt-engineering, promptulate, python
    COPY-PASTE FIX
    agent, autogen, chatgpt, gpt-4, langchain, language-agent, llm, pne, prompt, prompt-engineering, promptulate, python, llm-framework, agent-framework, ai-orchestration, llm-orchestration
  • lowreadme#3
    Add a dedicated 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## 💡 Comparison with other frameworks

Promptulate aims to provide a more streamlined and Pythonic experience for building LLM agent applications compared to more extensive frameworks. While projects like LangChain and LlamaIndex offer broad capabilities, Promptulate focuses on conciseness and ease of use, allowing developers to achieve common agent tasks with significantly less boilerplate. Our design philosophy prioritizes developer experience and rapid prototyping for agent-centric solutions.

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 Undertone0809/promptulate
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. Haystack · recommended 2×
  4. AutoGPT · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    What are the best Python frameworks for developing autonomous language agent applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. CrewAI
    6. Transformers
    7. OpenAI Python Library

    AI recommended 7 alternatives but never named Undertone0809/promptulate. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight Python framework to automate large language model tasks and agent development.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Instructor
    5. guidance
    6. LiteLLM

    AI recommended 6 alternatives but never named Undertone0809/promptulate. 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 Undertone0809/promptulate?
    pass
    AI named Undertone0809/promptulate explicitly

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

  • If a team adopts Undertone0809/promptulate in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Undertone0809/promptulate 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 Undertone0809/promptulate solve, and who is the primary audience?
    pass
    AI named Undertone0809/promptulate explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite