RRepoGEO

REPOGEO REPORT · LITE

alchemy-run/alchemy-effect

Default branch main · commit 64af12bc · scanned 6/5/2026, 9:57:10 AM

GitHub: 544 stars · 71 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 alchemy-run/alchemy-effect, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["infrastructure-as-code", "functional-programming", "typescript", "cloud-development", "serverless", "effect-system", "cloud-infrastructure", "aws", "cloudflare"]
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highreadme#3
    Clarify the unique value proposition in the README's opening statement

    Why:

    CURRENT
    **Infrastructure-as-Effects** — cloud infrastructure and application logic as a single, type-safe Effect program.
    COPY-PASTE FIX
    **Alchemy Effect** is a functional programming framework for **Infrastructure-as-Effects**, defining cloud infrastructure and application logic as a single, type-safe Effect program, offering robust error handling and composability.

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 alchemy-run/alchemy-effect
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pulumi
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pulumi · recommended 2×
  2. Terraform · recommended 2×
  3. Serverless Framework · recommended 2×
  4. AWS Cloud Development Kit (CDK) · recommended 1×
  5. Azure Bicep · recommended 1×
  • CATEGORY QUERY
    How to define cloud infrastructure and application logic in a single type-safe program?
    you: not recommended
    AI recommended (in order):
    1. Pulumi
    2. AWS Cloud Development Kit (CDK)
    3. Azure Bicep
    4. Terraform
    5. Helm
    6. Kustomize
    7. Serverless Framework

    AI recommended 7 alternatives but never named alchemy-run/alchemy-effect. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to define serverless functions and their cloud resources together.
    you: not recommended
    AI recommended (in order):
    1. Serverless Framework
    2. AWS SAM
    3. Pulumi
    4. Terraform
    5. SST

    AI recommended 5 alternatives but never named alchemy-run/alchemy-effect. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 alchemy-run/alchemy-effect?
    pass
    AI named alchemy-run/alchemy-effect explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
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