RRepoGEO

REPOGEO REPORT · LITE

janhq/cortex.cpp

Default branch dev · commit ee9e0ad5 · scanned 5/12/2026, 3:12:55 PM

GitHub: 2,755 stars · 179 forks

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 janhq/cortex.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

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

OVERALL DIRECTION
  • mediumreadme#1
    Add a clear, concise positioning statement to the README's opening

    Why:

    CURRENT
    Cortex is the open-source brain for robots: vision, speech, language, tabular, and action -- the cloud is optional.
    COPY-PASTE FIX
    Cortex is an open-source, local-first AI API platform designed to run various AI models (vision, speech, language, tabular) with a unified API, making the cloud optional for your applications.
  • lowtopics#2
    Add more descriptive, category-level topics

    Why:

    CURRENT
    gguf, llamacpp, onnx, onnxruntime
    COPY-PASTE FIX
    gguf, llamacpp, onnx, onnxruntime, local-ai, llm, api, inference, ai-platform, unified-api

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 janhq/cortex.cpp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 2×
  2. LM Studio · recommended 2×
  3. go-skynet/LocalAI · recommended 2×
  4. BerriAI/litellm · recommended 2×
  5. vllm-project/vllm · recommended 1×
  • CATEGORY QUERY
    How to run large language models locally with an accessible API endpoint?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. LocalAI (go-skynet/LocalAI)
    4. vLLM (vllm-project/vllm)
    5. text-generation-inference (TGI) (huggingface/text-generation-inference)
    6. llama.cpp (ggerganov/llama.cpp)
    7. LiteLLM (BerriAI/litellm)

    AI recommended 7 alternatives but never named janhq/cortex.cpp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools provide a unified local API for various AI models?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. LocalAI (go-skynet/LocalAI)
    4. Jan (janhq/jan)
    5. LiteLLM (BerriAI/litellm)

    AI recommended 5 alternatives but never named janhq/cortex.cpp. 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 janhq/cortex.cpp?
    pass
    AI named janhq/cortex.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 janhq/cortex.cpp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named janhq/cortex.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 janhq/cortex.cpp solve, and who is the primary audience?
    pass
    AI named janhq/cortex.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

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janhq/cortex.cpp — 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