REPOGEO REPORT · LITE

OpenMOSS/MOSS-TTSD

Default branch main · commit 20dbb4fc · scanned 5/23/2026, 8:53:23 AM

GitHub: 1,326 stars · 128 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

33 /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

2 / 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 OpenMOSS/MOSS-TTSD, 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

Move the core value proposition to the top of the README

Why:

CURRENT

The current README places a large block of links before the 'Overview' section, which contains the core value proposition.

COPY-PASTE FIX

Move the 'Overview' section content (starting 'MOSS-TTSD is the long-form dialogue specialist...') to immediately follow the main H1 title, before any badges or link blocks.

hightopics#2

Correct typo and add specific topics for dialogue and voice cloning

Why:

CURRENT

finetune, large-language-models, sglang, speech-dialogue-generation, streaming, text-to-speeh

COPY-PASTE FIX

finetune, large-language-models, sglang, speech-dialogue-generation, streaming, text-to-speech, multi-speaker, zero-shot-voice-cloning, dialogue-synthesis, conversational-ai

mediumreadme#3

Explicitly highlight multilingual and zero-shot capabilities in the README's opening

Why:

CURRENT

The current 'Overview' section (if moved to top) mentions 'multilingual' only at the very end of the excerpt, and zero-shot cloning is not explicitly highlighted early.

COPY-PASTE FIX

Integrate the following sentence into the initial 'Overview' section (after it's moved to the top), ideally after the 'script-to-conversation' part: 'It features robust multilingual support and enables zero-shot voice cloning from short audio references.'

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 OpenMOSS/MOSS-TTSD

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Resemble AI

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Resemble AI · recommended 2×
ElevenLabs · recommended 1×
Google Cloud Text-to-Speech · recommended 1×
AWS Polly · recommended 1×
Microsoft Azure AI Speech · recommended 1×

CATEGORY QUERY
How to generate expressive multi-speaker spoken dialogue from text scripts?
you: not recommended
AI recommended (in order):
1. ElevenLabs
2. Google Cloud Text-to-Speech
3. AWS Polly
4. Microsoft Azure AI Speech
5. Descript
6. Play.ht
7. Resemble AI
AI recommended 7 alternatives but never named OpenMOSS/MOSS-TTSD. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a tool for zero-shot voice cloning and multilingual long-form conversation.
you: not recommended
AI recommended (in order):
1. ElevenLabs (Prime Voice AI)
2. PlayHT
3. Resemble AI
4. Descript (Overdub)
5. Coqui XTTS (Open Source) (coqui-ai/TTS)
6. Microsoft Azure AI Speech (Custom Neural Voice)
AI recommended 6 alternatives but never named OpenMOSS/MOSS-TTSD. 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 OpenMOSS/MOSS-TTSD?
pass
AI named OpenMOSS/MOSS-TTSD explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts OpenMOSS/MOSS-TTSD in production, what risks or prerequisites should they evaluate first?
pass
AI named OpenMOSS/MOSS-TTSD 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 OpenMOSS/MOSS-TTSD solve, and who is the primary audience?
pass
AI did not name OpenMOSS/MOSS-TTSD — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/OpenMOSS/MOSS-TTSD.svg)](https://repogeo.com/en/r/OpenMOSS/MOSS-TTSD)

HTML

<a href="https://repogeo.com/en/r/OpenMOSS/MOSS-TTSD"><img src="https://repogeo.com/badge/OpenMOSS/MOSS-TTSD.svg" alt="RepoGEO" /></a>

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OpenMOSS/MOSS-TTSD — 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