RRepoGEO

REPOGEO REPORT · LITE

withcatai/node-llama-cpp

Default branch master · commit 57bea3da · scanned 5/9/2026, 11:57:44 AM

GitHub: 2,050 stars · 188 forks

AI VISIBILITY SCORE
86 /100
Healthy
Category recall
2 / 2
Avg rank #3.0 when recommended
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 withcatai/node-llama-cpp, 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
    Integrate JSON schema enforcement into the README's primary description

    Why:

    CURRENT
    <p>Run AI models locally on your machine</p>
    COPY-PASTE FIX
    <p>Run AI models locally on your machine with Node.js bindings for llama.cpp, featuring robust JSON schema enforcement for reliable model output.</p>
  • mediumreadme#2
    Add a concise comparison to Ollama and raw llama.cpp

    Why:

    COPY-PASTE FIX
    Add a new section titled "Why node-llama-cpp?" or "Comparison with Alternatives" that includes: "Unlike `Ollama` which provides a server-based API, `node-llama-cpp` offers direct, native Node.js bindings to the `llama.cpp` library, giving developers fine-grained control and optimal performance within their Node.js applications without external dependencies or shelling out."
  • lowreadme#3
    Emphasize developer experience and TypeScript support in README

    Why:

    CURRENT
    Great developer experience with full TypeScript support, and complete documentation
    COPY-PASTE FIX
    Integrate a sentence like "Designed for Node.js developers, it offers a great developer experience with full TypeScript support and comprehensive documentation." into an introductory paragraph or a "Why choose node-llama-cpp?" section.

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
2 / 2
100% of queries surface withcatai/node-llama-cpp
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
9%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 2×
  2. llama.cpp · recommended 1×
  3. ollama · recommended 1×
  4. TensorFlow.js · recommended 1×
  5. tfjs-node-gpu · recommended 1×
  • CATEGORY QUERY
    How to run large language models locally using Node.js with GPU acceleration?
    you: #2
    AI recommended (in order):
    1. llama.cpp
    2. node-llama-cpp ← you
    3. Ollama
    4. ollama
    5. TensorFlow.js
    6. tfjs-node-gpu
    7. ONNX Runtime
    8. onnxruntime-node
    9. onnxruntime-node-gpu
    10. Hugging Face Transformers.js
    11. transformers.js
    12. node-webgpu
    Show full AI answer
  • CATEGORY QUERY
    Node.js library for local LLM inference that guarantees JSON output format?
    you: #4
    AI recommended (in order):
    1. Ollama
    2. node-fetch
    3. Llama.cpp
    4. node-llama-cpp ← you
    5. LangChain.js
    6. Zod
    7. Transformers.js
    8. jsonrepair
    9. json-fixer
    10. LocalAI
    11. openai package
    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 withcatai/node-llama-cpp?
    pass
    AI named withcatai/node-llama-cpp explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of withcatai/node-llama-cpp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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withcatai/node-llama-cpp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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