RRepoGEO

REPOGEO REPORT · LITE

trypromptly/LLMStack

Default branch main · commit 70134842 · scanned 6/25/2026, 9:07:03 AM

GitHub: 2,303 stars · 348 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)

3 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 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

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

OVERALL DIRECTION
  • highabout#1
    Update the GitHub 'About' description to emphasize 'platform' and 'chatbots'

    Why:

    CURRENT
    No-code multi-agent framework to build LLM Agents, workflows and applications with your data
    COPY-PASTE FIX
    A no-code platform for building generative AI agents, workflows, and chatbots, connecting them to your data and business processes.
  • lowreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README stating: 'LLMStack is released under [Specify License Name(s) here, e.g., 'a custom license combining Apache 2.0 and MIT terms']. 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
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Zapier · recommended 1×
  2. Voiceflow · recommended 1×
  3. Make · recommended 1×
  4. Bubble.io · recommended 1×
  5. Softr · 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
    2. Voiceflow
    3. Make
    4. Bubble.io
    5. Softr
    6. Axiom.ai

    AI recommended 6 alternatives but never named trypromptly/LLMStack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good platform to integrate LLM agents with my business data and internal tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. OpenAI Assistants API
    5. Haystack
    6. FastAPI
    7. Flask
    8. OpenAI API
    9. Anthropic API

    AI recommended 9 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