RRepoGEO

REPOGEO REPORT · LITE

abi/secret-llama

Default branch main · commit 5b197cd6 · scanned 5/26/2026, 9:13:16 AM

GitHub: 2,675 stars · 169 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 abi/secret-llama, 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 improve categorization

    Why:

    COPY-PASTE FIX
    llm, chatbot, browser, webgpu, privacy, offline, llama3, mistral, webllm, local-llm
  • highreadme#2
    Reposition the README's opening sentence to clarify 'private'

    Why:

    CURRENT
    Entirely-in-browser, fully private LLM chatbot supporting Llama 3, Mistral and other open source models.
    COPY-PASTE FIX
    Secret Llama is an entirely-in-browser, fully private LLM chatbot where all conversations stay on your device, ensuring no data ever leaves your computer. It supports Llama 3, Mistral, and other open-source models, running without any server or installation.
  • mediumhomepage#3
    Add the live demo URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    Add the URL for the live demo (e.g., https://abi.github.io/secret-llama if applicable) to the repository's homepage field.

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 abi/secret-llama
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers.js · recommended 1×
  2. mlc-ai/mlc-llm · recommended 1×
  3. microsoft/onnxruntime · recommended 1×
  4. mlc-ai/web-llm · recommended 1×
  5. ggerganov/llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to run a large language model entirely in the browser for privacy?
    you: not recommended
    AI recommended (in order):
    1. Transformers.js (huggingface/transformers.js)
    2. MLC LLM (mlc-ai/mlc-llm)
    3. ONNX Runtime Web (microsoft/onnxruntime)
    4. Web LLM (mlc-ai/web-llm)
    5. llama.cpp (ggerganov/llama.cpp)
    6. TensorFlow.js (tensorflow/tfjs)
    7. Pyodide (pyodide/pyodide)

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for an offline AI chatbot that uses open source models locally without a server.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama (ollama/ollama)
    3. Jan (janhq/jan)
    4. GPT4All (nomic-ai/gpt4all)
    5. KoboldAI Lite (KoboldAI/KoboldAI-Lite)

    AI recommended 5 alternatives but never named abi/secret-llama. 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 abi/secret-llama?
    pass
    AI named abi/secret-llama explicitly

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

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