RRepoGEO

REPOGEO REPORT · LITE

serge-chat/serge

Default branch main · commit 3cb250c4 · scanned 5/13/2026, 10:56:46 PM

GitHub: 5,732 stars · 397 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 serge-chat/serge, 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
    Reposition the README's opening to emphasize 'web UI' and 'chatbot interface'

    Why:

    CURRENT
    Serge is a chat interface crafted with llama.cpp for running LLM models. No API keys, entirely self-hosted!
    COPY-PASTE FIX
    Serge is a self-hosted **web UI** for running LLM models with llama.cpp. It's a **chatbot interface** that requires no API keys, prioritizing privacy and local execution.
  • mediumtopics#2
    Add more specific topics related to local LLM UIs

    Why:

    CURRENT
    alpaca, docker, fastapi, llama, llamacpp, nginx, python, svelte, sveltekit, tailwindcss, web
    COPY-PASTE FIX
    alpaca, docker, fastapi, llama, llamacpp, nginx, python, svelte, sveltekit, tailwindcss, web, local-llm, self-hosted-llm, chatbot-ui, llm-web-ui
  • lowabout#3
    Enhance the repository description for clearer category alignment

    Why:

    CURRENT
    A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.
    COPY-PASTE FIX
    A self-hosted, dockerized **web UI** and **chatbot interface** for running local LLMs like Alpaca through llama.cpp, complete with an easy-to-use 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 serge-chat/serge
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/ollama · recommended 1×
  3. open-webui/open-webui · recommended 1×
  4. janhq/jan · recommended 1×
  5. go-skynet/LocalAI · recommended 1×
  • CATEGORY QUERY
    How to easily set up a self-hosted web interface for local large language models?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama (ollama/ollama)
    3. Open WebUI (open-webui/open-webui)
    4. Jan (janhq/jan)
    5. LocalAI (go-skynet/LocalAI)
    6. llama.cpp (ggerganov/llama.cpp)

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a dockerized open-source chatbot UI for running local LLMs without API keys.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. LocalAI
    4. Text Generation WebUI (oobabooga/text-generation-webui)
    5. Open WebUI
    6. Jan
    7. PrivateGPT

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

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

  • If a team adopts serge-chat/serge in production, what risks or prerequisites should they evaluate first?
    pass
    AI named serge-chat/serge 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 serge-chat/serge solve, and who is the primary audience?
    pass
    AI named serge-chat/serge 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 serge-chat/serge. 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite