REPOGEO REPORT · LITE

erew123/alltalk_tts

Default branch main · commit 3d4b94be · scanned 5/21/2026, 12:42:07 PM

GitHub: 2,362 stars · 277 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

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 erew123/alltalk_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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README's opening to highlight advanced features and integrations

Why:

CURRENT

# AllTalk TTS

## AllTalk version 2

# Click here to go to AllTalk Version 2

AllTalk v2 significantly enhances v1, introducing new features while addressing many previous issues. Although still evolving, v2 offers a stable build and is the recommended version for most users as this is where update and development work is now focused.

COPY-PASTE FIX

# AllTalk TTS: Advanced Text-to-Speech with Low VRAM, DeepSpeed, and 3rd Party Integration

AllTalk is an advanced text-to-speech (TTS) system built on the Coqui TTS engine, designed for high performance and flexibility. Unlike generic TTS solutions, AllTalk offers a rich set of features including low VRAM support, DeepSpeed for performance boosts, model finetuning, custom models, and seamless integration with applications like Text Generation webUI, SillyTavern, and KoboldCPP via JSON API calls. It also includes unique features like a narrator mode and wav file maintenance.

## AllTalk version 2

AllTalk v2 significantly enhances v1, introducing new features while addressing many previous issues. Although still evolving, v2 offers a stable build and is the recommended version for most users as this is where update and development work is now focused.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/erew123/alltalk_tts#alltalk-version-2
```

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 erew123/alltalk_tts

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Text-to-Speech

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

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

CATEGORY QUERY
Looking for a text-to-speech solution with high performance and custom voice training.
you: not recommended
AI recommended (in order):
1. Google Cloud Text-to-Speech
2. Amazon Polly
3. Microsoft Azure AI Speech
4. ElevenLabs
5. Resemble AI
6. WellSaid Labs
AI recommended 6 alternatives but never named erew123/alltalk_tts. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good open-source TTS engines supporting low VRAM and third-party API integration?
you: not recommended
AI recommended (in order):
1. Coqui TTS (coqui-ai/TTS)
2. Piper (rhasspy/piper)
3. ESPnet (espnet/espnet)
4. OpenVINO (openvinotoolkit/openvino)
5. MaryTTS (marytts/marytts)
AI recommended 5 alternatives but never named erew123/alltalk_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
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 erew123/alltalk_tts?
pass
AI named erew123/alltalk_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 erew123/alltalk_tts in production, what risks or prerequisites should they evaluate first?
pass
AI named erew123/alltalk_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 erew123/alltalk_tts solve, and who is the primary audience?
pass
AI named erew123/alltalk_tts 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)

[![RepoGEO](https://repogeo.com/badge/erew123/alltalk_tts.svg)](https://repogeo.com/en/r/erew123/alltalk_tts)

HTML

<a href="https://repogeo.com/en/r/erew123/alltalk_tts"><img src="https://repogeo.com/badge/erew123/alltalk_tts.svg" alt="RepoGEO" /></a>

Pro

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erew123/alltalk_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