REPOGEO REPORT · LITE

akdeb/ElatoAI

Default branch main · commit 72a5c60e · scanned 5/24/2026, 10:31:56 PM

GitHub: 1,751 stars · 211 forks

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 akdeb/ElatoAI, 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

Add a concise, category-defining H1/H2 and intro paragraph to the README

Why:

CURRENT

The README starts with `English | [中文](README.zh.md)` followed by a logo and news.

COPY-PASTE FIX

English | [中文](README.zh.md)

# ElatoAI: Realtime Voice AI for Arduino ESP32 Devices

ElatoAI empowers developers to build interactive AI toys, companions, and smart devices by integrating real-time voice AI capabilities directly onto Arduino ESP32 hardware. Leverage 100+ voice models, secure websockets, and edge functions for scalable, low-latency conversational experiences.

mediumreadme#2

Clarify the project's license in the README

Why:

COPY-PASTE FIX

## License

This project is licensed under [Specify License Name(s) here, e.g., 'a custom license combining Apache 2.0 and MIT terms']. Please refer to the `LICENSE` file for complete details.

mediumreadme#3

Add a 'Key Features' or 'What ElatoAI Does' section to the README

Why:

CURRENT

The README excerpt shows 'News' immediately after the initial links/logo.

COPY-PASTE FIX

## Key Features

*   **Real-time Voice AI on ESP32:** Deploy advanced speech-to-text (STT) and text-to-speech (TTS) models directly on low-power Arduino ESP32 devices.
*   **100+ AI Models:** Access a wide range of voice models for diverse applications, from simple commands to complex conversational agents.
*   **Secure Websockets & Edge Functions:** Ensure secure, low-latency communication and processing for AI interactions.
*   **AI Toys, Companions & Devices:** Specifically designed for creating interactive hardware with intelligent voice 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 akdeb/ElatoAI

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Edge Impulse

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Edge Impulse · recommended 1×
TensorFlow Lite for Microcontrollers · recommended 1×
Picovoice · recommended 1×
Porcupine · recommended 1×
Rhino Speech-to-Intent · recommended 1×

CATEGORY QUERY
How can I integrate real-time voice AI capabilities into Arduino ESP32 devices?
you: not recommended
AI recommended (in order):
1. Edge Impulse
2. TensorFlow Lite for Microcontrollers
3. Picovoice
4. Porcupine
5. Rhino Speech-to-Intent
6. ESP-IDF
7. Google Cloud Speech-to-Text
8. Amazon Alexa Voice Service (AVS)
9. Amazon Transcribe
AI recommended 9 alternatives but never named akdeb/ElatoAI. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a framework to build interactive AI companions or talking smart devices.
you: not recommended
AI recommended (in order):
1. Rasa (RasaHQ/rasa)
2. DeepPavlov (deepmipt/DeepPavlov)
3. OpenAI's GPT-3/GPT-4 API
4. Google Dialogflow
5. Amazon Lex
6. Microsoft Bot Framework (microsoft/botframework-sdk)
7. Mycroft AI (MycroftAI/mycroft-core)
AI recommended 7 alternatives but never named akdeb/ElatoAI. 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 akdeb/ElatoAI?
pass
AI named akdeb/ElatoAI explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts akdeb/ElatoAI in production, what risks or prerequisites should they evaluate first?
pass
AI named akdeb/ElatoAI 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 akdeb/ElatoAI solve, and who is the primary audience?
pass
AI named akdeb/ElatoAI 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 akdeb/ElatoAI. 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/akdeb/ElatoAI.svg)](https://repogeo.com/en/r/akdeb/ElatoAI)

HTML

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

Pro

Subscribe to Pro for deep diagnoses

akdeb/ElatoAI — 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