RRepoGEO

REPOGEO REPORT · LITE

Kiln-AI/Kiln

Default branch main · commit 1bd658f8 · scanned 5/18/2026, 7:42:09 PM

GitHub: 4,837 stars · 367 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 Kiln-AI/Kiln, 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 main heading to be more specific

    Why:

    CURRENT
    <h3 align="center">A free app and open-source library to build better AI products.</h3>
    COPY-PASTE FIX
    <h3 align="center">The open-source platform for building, evaluating, and optimizing AI systems, including RAG, agents, and fine-tuning.</h3>
  • highlicense#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a line to the README, perhaps in a 'Contributing' or 'About' section: "Kiln is released under the terms specified in the [LICENSE](LICENSE) file."
  • mediumreadme#3
    Add a 'Why Kiln?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    Add a new section to the README: `## Why Kiln?` followed by: "Kiln offers a unified, declarative approach to building, evaluating, and optimizing AI systems, providing structured control and deterministic execution for complex, multi-step agents, unlike fragmented toolchains."

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 Kiln-AI/Kiln
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weights & Biases (W&B)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases (W&B) · recommended 1×
  2. MLflow · recommended 1×
  3. LangChain Evaluation (LangChain Eval) · recommended 1×
  4. Deepchecks · recommended 1×
  5. Humanloop · recommended 1×
  • CATEGORY QUERY
    How can I effectively evaluate and optimize my AI models and prompt engineering strategies?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B)
    2. MLflow
    3. LangChain Evaluation (LangChain Eval)
    4. Deepchecks
    5. Humanloop
    6. Arize AI
    7. OpenAI Evals

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

    Show full AI answer
  • CATEGORY QUERY
    What tools help build AI applications with RAG, agents, and fine-tuning capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI API
    5. Haystack
    6. Microsoft Semantic Kernel

    AI recommended 6 alternatives but never named Kiln-AI/Kiln. 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 Kiln-AI/Kiln?
    pass
    AI named Kiln-AI/Kiln explicitly

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

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

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

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Kiln-AI/Kiln — 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