RRepoGEO

REPOGEO REPORT · LITE

jik876/hifi-gan

Default branch master · commit 4769534d · scanned 5/16/2026, 1:13:29 PM

GitHub: 2,347 stars · 554 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 jik876/hifi-gan, 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.

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 jik876/hifi-gan
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ElevenLabs Text to Speech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ElevenLabs Text to Speech · recommended 1×
  2. Google Cloud Text-to-Speech · recommended 1×
  3. Azure AI Speech · recommended 1×
  4. AWS Polly · recommended 1×
  5. Play.ht · recommended 1×
  • CATEGORY QUERY
    Looking for a model to generate high-fidelity speech audio quickly from text.
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs Text to Speech
    2. Google Cloud Text-to-Speech
    3. Azure AI Speech
    4. AWS Polly
    5. Play.ht

    AI recommended 5 alternatives but never named jik876/hifi-gan. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which deep learning frameworks are best for efficient, high-fidelity GAN-based speech generation?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. torchaudio
    3. StyleGAN2-ADA
    4. TensorFlow
    5. Keras API
    6. TensorFlow Lite
    7. JAX
    8. Flax
    9. Haiku
    10. PaddlePaddle
    11. PaddleSpeech
    12. MXNet

    AI recommended 12 alternatives but never named jik876/hifi-gan. 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 jik876/hifi-gan?
    pass
    AI named jik876/hifi-gan explicitly

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

  • If a team adopts jik876/hifi-gan in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jik876/hifi-gan 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 jik876/hifi-gan solve, and who is the primary audience?
    pass
    AI named jik876/hifi-gan 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 jik876/hifi-gan. 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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jik876/hifi-gan — 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