RRepoGEO

REPOGEO REPORT · LITE

meituan-longcat/LongCat-AudioDiT

Default branch main · commit 12c76b51 · scanned 6/11/2026, 6:13:10 PM

GitHub: 522 stars · 47 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 meituan-longcat/LongCat-AudioDiT, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    LongCat-AudioDiT is a state-of-the-art open-source diffusion-based text-to-speech (TTS) model that generates high-fidelity speech directly in the waveform latent space, leveraging a Long-Context Transformer (LongCat) architecture.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["text-to-speech", "tts", "diffusion-models", "generative-ai", "audio-synthesis", "deep-learning", "pytorch", "long-context-transformer"]
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://aria-k-alethia.github.io/LongCat-AudioDiT-demo

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 meituan-longcat/LongCat-AudioDiT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 1×
  2. ElevenLabs · recommended 1×
  3. Azure AI Speech · recommended 1×
  4. Amazon Polly · recommended 1×
  5. OpenAI TTS · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality, natural-sounding speech from text using modern AI models?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. ElevenLabs
    3. Azure AI Speech
    4. Amazon Polly
    5. OpenAI TTS
    6. Meta Voicebox

    AI recommended 6 alternatives but never named meituan-longcat/LongCat-AudioDiT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source diffusion models for high-fidelity text-to-speech synthesis?
    you: not recommended
    AI recommended (in order):
    1. Diff-SVC
    2. Grad-TTS
    3. VITS
    4. NaturalSpeech 2
    5. AudioLM/SpeechLM

    AI recommended 5 alternatives but never named meituan-longcat/LongCat-AudioDiT. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 meituan-longcat/LongCat-AudioDiT?
    pass
    AI named meituan-longcat/LongCat-AudioDiT explicitly

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

  • If a team adopts meituan-longcat/LongCat-AudioDiT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named meituan-longcat/LongCat-AudioDiT 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 meituan-longcat/LongCat-AudioDiT solve, and who is the primary audience?
    pass
    AI named meituan-longcat/LongCat-AudioDiT 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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MARKDOWN (README)
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meituan-longcat/LongCat-AudioDiT — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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