RRepoGEO

REPOGEO REPORT · LITE

zai-org/GLM-TTS

Default branch main · commit 4b944f4b · scanned 6/17/2026, 3:08:33 PM

GitHub: 1,025 stars · 130 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 zai-org/GLM-TTS, 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
    Clarify GLM-TTS's positioning as an open-source model/system in the README intro

    Why:

    CURRENT
    GLM-TTS is a high-quality text-to-speech (TTS) synthesis system based on large language models, supporting zero-shot voice cloning and streaming inference.
    COPY-PASTE FIX
    GLM-TTS is an **open-source, research-backed text-to-speech (TTS) system** leveraging large language models for high-quality, controllable, and emotion-expressive zero-shot voice cloning and streaming inference. Designed for developers and researchers, it offers a powerful alternative to commercial TTS APIs.
  • mediumtopics#2
    Add more specific topics to improve categorization and highlight key features

    Why:

    CURRENT
    edge-computing, llm, tts
    COPY-PASTE FIX
    text-to-speech, tts, llm, large-language-models, zero-shot, voice-cloning, emotion-expressive, reinforcement-learning, speech-synthesis, open-source-ai
  • mediumreadme#3
    Add a 'Why GLM-TTS?' or 'Comparison' section to explicitly differentiate from commercial TTS services

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps titled 'Why GLM-TTS? (vs. Commercial APIs)' or 'Key Differentiators,' with content like: 'Unlike proprietary commercial Text-to-Speech APIs, GLM-TTS provides a fully open-source, customizable, and deployable solution for advanced speech synthesis. It empowers researchers and developers with direct control over the model, enabling fine-tuning and integration into custom applications without vendor lock-in, while still delivering state-of-the-art zero-shot and emotion-expressive capabilities.'

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 zai-org/GLM-TTS
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 2×
  2. ElevenLabs (Prime Voice AI) · recommended 1×
  3. Microsoft Azure AI Speech · recommended 1×
  4. Meta (Voicebox / VALL-E X) · recommended 1×
  5. Amazon Polly · recommended 1×
  • CATEGORY QUERY
    How to generate natural-sounding, emotion-expressive speech from text with zero-shot capabilities?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs (Prime Voice AI)
    2. Google Cloud Text-to-Speech
    3. Microsoft Azure AI Speech
    4. Meta (Voicebox / VALL-E X)
    5. Amazon Polly

    AI recommended 5 alternatives but never named zai-org/GLM-TTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best LLM-powered text-to-speech solutions for controllable and expressive voice generation?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs
    2. Google Cloud Text-to-Speech
    3. Azure AI Speech
    4. Resemble.ai
    5. Play.ht
    6. WellSaid Labs

    AI recommended 6 alternatives but never named zai-org/GLM-TTS. 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 zai-org/GLM-TTS?
    pass
    AI named zai-org/GLM-TTS explicitly

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

  • If a team adopts zai-org/GLM-TTS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/GLM-TTS 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 zai-org/GLM-TTS solve, and who is the primary audience?
    pass
    AI named zai-org/GLM-TTS explicitly

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

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zai-org/GLM-TTS — 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