RRepoGEO

REPOGEO REPORT · LITE

keldenl/gpt-llama.cpp

Default branch master · commit 1c8b1c1a · scanned 6/11/2026, 9:52:38 AM

GitHub: 594 stars · 67 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 keldenl/gpt-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

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

OVERALL DIRECTION
  • hightopics#1
    Add specific topics for local LLM inference and OpenAI API replacement

    Why:

    COPY-PASTE FIX
    llm, local-llm, openai-api, gpt-api, llama-cpp, inference, api-wrapper, self-hosted, ai-tools
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/keldenl/gpt-llama.cpp

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 keldenl/gpt-llama.cpp
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 2×
  2. LM Studio · recommended 2×
  3. LocalAI · recommended 2×
  4. vLLM · recommended 2×
  5. LiteLLM · recommended 1×
  • CATEGORY QUERY
    Need to run applications built for OpenAI's API locally using open-source language models.
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. vLLM
    5. LiteLLM

    AI recommended 5 alternatives but never named keldenl/gpt-llama.cpp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a solution to replace OpenAI API calls with local LLM inference for existing tools.
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. vLLM

    AI recommended 4 alternatives but never named keldenl/gpt-llama.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
    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 keldenl/gpt-llama.cpp?
    pass
    AI named keldenl/gpt-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 keldenl/gpt-llama.cpp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named keldenl/gpt-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 keldenl/gpt-llama.cpp solve, and who is the primary audience?
    pass
    AI named keldenl/gpt-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

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keldenl/gpt-llama.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