RRepoGEO

REPOGEO REPORT · LITE

trypromptly/LLMStack

Default branch main · commit 70134842 · scanned 5/14/2026, 7:27:11 PM

GitHub: 2,297 stars · 345 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 trypromptly/LLMStack, 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 statement to highlight unique value

    Why:

    CURRENT
    <p align="center">
    <em>LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes.</em>
</p>
    COPY-PASTE FIX
    <p align="center">
    <em>LLMStack is the leading open-source, no-code platform designed specifically for building sophisticated generative AI agents, multi-agent workflows, and chatbots. It empowers users to integrate custom data and business processes, offering a visual alternative to complex code-first LLM frameworks.</em>
</p>
  • mediumtopics#2
    Add more specific topics to reinforce no-code LLM agent positioning

    Why:

    CURRENT
    agents, ai, ai-agents-framework, generative-ai, llm-agents, llm-chain, llm-framework, llmops, llms, no-code-ai, platform
    COPY-PASTE FIX
    agents, ai, ai-agents-framework, generative-ai, llm-agents, llm-chain, llm-framework, llmops, llms, no-code-ai, platform, no-code-llm-apps, llm-agent-builder
  • lowreadme#3
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, `## License` or `## Licensing Information`, with a clear statement like: `This project is licensed under [Specify License Name(s) here, e.g., a custom license combining Apache 2.0 and MIT]. 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.

Recall
0 / 2
0% of queries surface trypromptly/LLMStack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Zapier Interfaces
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Zapier Interfaces · recommended 1×
  2. Zapier Chatbots · recommended 1×
  3. Zapier Tables · recommended 1×
  4. Make · recommended 1×
  5. Voiceflow · recommended 1×
  • CATEGORY QUERY
    How can I build generative AI agents and workflows without writing any code?
    you: not recommended
    AI recommended (in order):
    1. Zapier Interfaces
    2. Zapier Chatbots
    3. Zapier Tables
    4. Make
    5. Voiceflow
    6. Axiom.ai
    7. Bubble

    AI recommended 7 alternatives but never named trypromptly/LLMStack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are frameworks for creating multi-agent LLM applications that integrate custom data?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. CrewAI
    6. Marvin

    AI recommended 6 alternatives but never named trypromptly/LLMStack. 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 trypromptly/LLMStack?
    pass
    AI named trypromptly/LLMStack explicitly

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

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

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

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trypromptly/LLMStack — 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