RRepoGEO

REPOGEO REPORT · LITE

randaller/llama-chat

Default branch main · commit bda5f134 · scanned 6/14/2026, 8:12:34 PM

GitHub: 840 stars · 111 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 randaller/llama-chat, 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 the repository

    Why:

    COPY-PASTE FIX
    llama, llm, local-llm, chat, home-pc, consumer-hardware, ai, machine-learning, python, llama-cpp
  • mediumreadme#2
    Strengthen the README's opening paragraph to emphasize ease of use and local deployment

    Why:

    CURRENT
    This repository is a chat example with LLaMA (arXiv) models running on a typical home PC. You will just need a NVIDIA videocard and some RAM to chat with model.
    COPY-PASTE FIX
    This repository provides a minimalist and straightforward web UI to easily chat with Meta's LLaMA models on your home PC. It focuses on making local LLM deployment accessible, requiring just an NVIDIA videocard and sufficient RAM to get started with conversational AI.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/randaller/llama-chat

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 randaller/llama-chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. Ollama · recommended 2×
  3. Jan · recommended 2×
  4. GPT4All · recommended 2×
  5. oobabooga/text-generation-webui · recommended 2×
  • CATEGORY QUERY
    How can I run large language models for local chat on my home PC?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. GPT4All
    5. KoboldCpp
    6. text-generation-webui (oobabooga/text-generation-webui)

    AI recommended 6 alternatives but never named randaller/llama-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to easily run open-source conversational AI models on consumer-grade hardware?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. GPT4All
    5. KoboldAI Lite
    6. KoboldAI United
    7. Text Generation WebUI (oobabooga/text-generation-webui)

    AI recommended 7 alternatives but never named randaller/llama-chat. 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 randaller/llama-chat?
    pass
    AI named randaller/llama-chat explicitly

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

  • If a team adopts randaller/llama-chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named randaller/llama-chat 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 randaller/llama-chat solve, and who is the primary audience?
    pass
    AI named randaller/llama-chat 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 randaller/llama-chat. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/randaller/llama-chat.svg)](https://repogeo.com/en/r/randaller/llama-chat)
HTML
<a href="https://repogeo.com/en/r/randaller/llama-chat"><img src="https://repogeo.com/badge/randaller/llama-chat.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

randaller/llama-chat — 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