RRepoGEO

REPOGEO REPORT · LITE

joey-zhou/xiaozhi-esp32-server-java

Default branch main · commit ccfaec51 · scanned 6/19/2026, 8:32:06 AM

GitHub: 1,287 stars · 470 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
22 /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
1 / 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 joey-zhou/xiaozhi-esp32-server-java, 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
    Reposition README's opening paragraph to highlight integrated platform and AI capabilities

    Why:

    CURRENT
    基于 <a href="https://github.com/78/xiaozhi-esp32">Xiaozhi ESP32</a> 项目开发的 Java 版本服务端，包含完整前后端管理平台<br/>为智能硬件设备提供强大的后端支持和直观的管理界面
    COPY-PASTE FIX
    Xiaozhi ESP32 Server Java 是一个为ESP32智能硬件设计的**Java企业级一体化管理平台**，提供设备监控、音色定制、角色切换和对话记录管理，并集成了多AI平台和语音全链路能力。
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a URL to a live demo, comprehensive documentation, or a dedicated project website in the repository's 'About' section.
  • lowreadme#3
    Add an explicit 'AI Voice Assistant Integration' highlight to the '核心亮点' section

    Why:

    CURRENT
    多 AI 平台集成** — OpenAI / 智谱 / 讯飞 / Ollama / Dify / Coze，MCP 工具协议扩展
语音全链路** — 本地 & 云端 STT/TTS，音色克隆，实时打断，双向流式交互
    COPY-PASTE FIX
    在 '核心亮点' 部分添加以下内容：
**AI 语音助手集成** — 为ESP32设备提供多平台AI语音交互能力，支持音色定制、实时打断和双向流式对话。

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 joey-zhou/xiaozhi-esp32-server-java
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spring Boot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Spring Boot · recommended 2×
  2. Apache Kafka · recommended 2×
  3. Spring Data JPA · recommended 1×
  4. Hibernate · recommended 1×
  5. PostgreSQL · recommended 1×
  • CATEGORY QUERY
    How to build a Java backend for managing ESP32 smart devices with AI voice capabilities?
    you: not recommended
    AI recommended (in order):
    1. Spring Boot
    2. Spring Data JPA
    3. Hibernate
    4. PostgreSQL
    5. MySQL
    6. MariaDB
    7. RabbitMQ
    8. Apache Kafka
    9. Google Cloud Speech-to-Text API
    10. AWS Transcribe
    11. Azure Cognitive Services Speech
    12. Google Cloud Dialogflow
    13. AWS Lex
    14. Azure Bot Service
    15. Eclipse Mosquitto
    16. EMQX

    AI recommended 16 alternatives but never named joey-zhou/xiaozhi-esp32-server-java. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an enterprise Java platform to monitor ESP32 devices and customize AI assistant interactions.
    you: not recommended
    AI recommended (in order):
    1. Spring Boot
    2. Spring Cloud
    3. Kubernetes
    4. Eureka
    5. Hystrix
    6. Resilience4j
    7. Spring Cloud Config
    8. OpenAI API
    9. Google Cloud AI Platform
    10. Azure AI Services
    11. Quarkus
    12. Micronaut
    13. Apache Kafka
    14. Kafka Streams
    15. kSQLDB
    16. Eclipse Vert.x
    17. Google Cloud Platform (GCP)
    18. Google Cloud IoT Core
    19. Google Cloud Pub/Sub
    20. Google App Engine
    21. Google Cloud Run
    22. Dialogflow
    23. Vertex AI
    24. Amazon Web Services (AWS)
    25. AWS IoT Core
    26. AWS Kinesis
    27. AWS Lambda
    28. ECS (Elastic Container Service)
    29. DynamoDB
    30. RDS
    31. Amazon Lex
    32. Amazon Comprehend
    33. Amazon SageMaker

    AI recommended 33 alternatives but never named joey-zhou/xiaozhi-esp32-server-java. 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 joey-zhou/xiaozhi-esp32-server-java?
    pass
    AI did not name joey-zhou/xiaozhi-esp32-server-java — 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?

  • If a team adopts joey-zhou/xiaozhi-esp32-server-java in production, what risks or prerequisites should they evaluate first?
    pass
    AI named joey-zhou/xiaozhi-esp32-server-java 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 joey-zhou/xiaozhi-esp32-server-java solve, and who is the primary audience?
    pass
    AI did not name joey-zhou/xiaozhi-esp32-server-java — 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?

Embed your GEO score

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joey-zhou/xiaozhi-esp32-server-java — 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