RRepoGEO

REPOGEO REPORT · LITE

promptise-com/Foundry

Default branch main · commit 1880faf0 · scanned 6/9/2026, 9:21:17 PM

GitHub: 846 stars · 128 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 promptise-com/Foundry, 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
    Clarify the README's opening statement to explicitly position Foundry as a framework

    Why:

    CURRENT
    <p>
        <strong>The foundation layer for agentic intelligence.</strong>
      </p>
    
      <p>
        <em>Ship full-stack agentic systems the way they're meant to be built —</em><br/>
        <em>production-ready, secure by default, with the developer experience modern Python deserves.</em>
      </p>
    COPY-PASTE FIX
    <p>
        <strong>Promptise Foundry is a Python framework for building production-ready, secure, full-stack agentic AI systems.</strong>
      </p>
    
      <p>
        <em>It provides the foundation layer for agentic intelligence, designed for a modern Python developer experience.</em>
      </p>
  • mediumcomparison#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
    
    Promptise Foundry differentiates itself from frameworks like LangChain and LlamaIndex with its first-class focus on built-in state management for complex, multi-turn, and agentic AI applications, ensuring production-readiness and security by default.
  • lowabout#3
    Update the GitHub repository description for clarity and consistency

    Why:

    CURRENT
    The foundation layer for agentic intelligence.
    COPY-PASTE FIX
    A Python framework for building production-ready, secure, full-stack agentic AI systems with built-in state management.

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 promptise-com/Foundry
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 1×
  3. deepset/Haystack · recommended 1×
  4. microsoft/autogen · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How can I build production-ready autonomous LLM agents with a Python framework?
    you: not recommended
    AI recommended (in order):
    1. LangChain

    AI recommended 1 alternative but never named promptise-com/Foundry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source Python frameworks exist for developing robust, secure agentic AI applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. AutoGen (microsoft/autogen)
    5. CrewAI
    6. Open Interpreter

    AI recommended 6 alternatives but never named promptise-com/Foundry. 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 promptise-com/Foundry?
    pass
    AI named promptise-com/Foundry explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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