RRepoGEO

REPOGEO REPORT · LITE

HITsz-TMG/Uni-MoE

Default branch master · commit 27da174f · scanned 5/24/2026, 12:12:52 PM

GitHub: 1,106 stars · 69 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 HITsz-TMG/Uni-MoE, 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
    multimodal, mixture-of-experts, moe, large-language-model, llm, foundation-model, ai-model, deep-learning, generative-ai, lychee
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file with the Apache-2.0 license text to the repository root.
  • mediumreadme#3
    Clarify the README's opening statement to explicitly position Uni-MoE as a multimodal foundation model family

    Why:

    CURRENT
    Uni-MoE is a MoE-based omnimodal large model and can understand and generate omnimodalities.
    COPY-PASTE FIX
    Uni-MoE is Lychee's MoE-based omnimodal large **multimodal foundation model family** that can understand and generate content across diverse modalities.

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 HITsz-TMG/Uni-MoE
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Gemini
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Gemini · recommended 2×
  2. OpenAI GPT-4o · recommended 1×
  3. Meta AI · recommended 1×
  4. Google PaLM 2 · recommended 1×
  5. Microsoft Copilot · recommended 1×
  • CATEGORY QUERY
    What AI models can understand and generate content across various modalities like text, audio, and video?
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4o
    3. Meta AI
    4. Google PaLM 2
    5. Microsoft Copilot
    6. Stability AI's Stable Diffusion XL

    AI recommended 6 alternatives but never named HITsz-TMG/Uni-MoE. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a large multimodal foundation model utilizing a mixture-of-experts architecture for diverse tasks.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. GPT-4
    3. Mixtral 8x7B
    4. Mistral Large
    5. DeepMind's Gato
    6. Google's Switch Transformers

    AI recommended 6 alternatives but never named HITsz-TMG/Uni-MoE. 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 HITsz-TMG/Uni-MoE?
    pass
    AI named HITsz-TMG/Uni-MoE explicitly

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

  • If a team adopts HITsz-TMG/Uni-MoE in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HITsz-TMG/Uni-MoE 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 HITsz-TMG/Uni-MoE solve, and who is the primary audience?
    pass
    AI named HITsz-TMG/Uni-MoE 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 HITsz-TMG/Uni-MoE. 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/HITsz-TMG/Uni-MoE.svg)](https://repogeo.com/en/r/HITsz-TMG/Uni-MoE)
HTML
<a href="https://repogeo.com/en/r/HITsz-TMG/Uni-MoE"><img src="https://repogeo.com/badge/HITsz-TMG/Uni-MoE.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

HITsz-TMG/Uni-MoE — 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