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

Of all named tools, what % are you?

Top rival

ElevenLabs Text to Speech

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

ElevenLabs Text to Speech · recommended 1×
Google Cloud Text-to-Speech · recommended 1×
Azure AI Speech · recommended 1×
AWS Polly · recommended 1×
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.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/jik876/hifi-gan.svg)](https://repogeo.com/en/r/jik876/hifi-gan)

HTML

<a href="https://repogeo.com/en/r/jik876/hifi-gan"><img src="https://repogeo.com/badge/jik876/hifi-gan.svg" alt="RepoGEO" /></a>

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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