RRepoGEO

REPOGEO REPORT · LITE

BingZi-233/check-cx

Default branch master · commit b256c240 · scanned 6/4/2026, 6:57:50 AM

GitHub: 570 stars · 126 forks

AI VISIBILITY SCORE
28 /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
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 BingZi-233/check-cx, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai, llm, api-monitoring, uptime-monitor, health-check, nextjs, supabase, openai, gemini, anthropic
  • highreadme#2
    Strengthen the README's H1 and opening sentence for AI clarity

    Why:

    CURRENT
    # Check CX

Check CX 是一个用于监控 AI 模型 API 可用性与延迟的健康监测面板。项目基于 Next.js App Router 与 Supabase 构建，通过后台轮询持续采集健康检查结果，并提供可视化 Dashboard 与只读状态 API，适用于团队内部状态展示、供应商 SLA 监控以及多模型能力对比等场景。
    COPY-PASTE FIX
    # Check CX: AI 模型 API 健康监测面板

Check CX 是一个专为实时跟踪 OpenAI、Gemini、Anthropic 等主流 AI 模型 API 的可用性、延迟与错误信息而设计的健康监测面板。项目基于 Next.js App Router 与 Supabase 构建，通过后台轮询持续采集健康检查结果，并提供可视化 Dashboard 与只读状态 API，适用于团队内部状态展示、供应商 SLA 监控以及多模型能力对比等场景。
  • mediumreadme#3
    Add a section highlighting AI-specific differentiation from general monitors

    Why:

    COPY-PASTE FIX
    ## 为什么选择 Check CX？

与通用型监控工具（如 UptimeRobot, Grafana）不同，Check CX 专注于 AI 模型 API 的健康状态。我们提供针对 OpenAI、Gemini、Anthropic 等特定 AI 服务商的 Chat Completions 与 Responses 端点检查，并深入分析其延迟与错误信息，确保您能获得最精准的 AI 服务可用性洞察，而非简单的网站或服务在线状态。

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 BingZi-233/check-cx
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
grafana/grafana
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. grafana/grafana · recommended 2×
  2. prometheus/prometheus · recommended 2×
  3. prometheus/blackbox_exporter · recommended 2×
  4. UptimeRobot · recommended 1×
  5. Pingdom · recommended 1×
  • CATEGORY QUERY
    How to track real-time availability and latency for various generative AI model APIs?
    you: not recommended
    AI recommended (in order):
    1. UptimeRobot
    2. Pingdom
    3. Grafana (grafana/grafana)
    4. Prometheus (prometheus/prometheus)
    5. Blackbox Exporter (prometheus/blackbox_exporter)
    6. New Relic Synthetics
    7. Datadog Synthetics
    8. requests (psf/requests)
    9. node-fetch (node-fetch/node-fetch)
    10. PostgreSQL
    11. InfluxDB (influxdata/influxdb)
    12. AWS CloudWatch Logs
    13. Google Cloud Logging
    14. cron
    15. AWS Lambda
    16. Azure Functions
    17. Postman Monitors

    AI recommended 17 alternatives but never named BingZi-233/check-cx. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a self-hosted dashboard to monitor the uptime and performance of LLM providers.
    you: not recommended
    AI recommended (in order):
    1. Grafana (grafana/grafana)
    2. Prometheus (prometheus/prometheus)
    3. Blackbox Exporter (prometheus/blackbox_exporter)
    4. Uptime Kuma (louislam/uptime-kuma)
    5. Netdata (netdata/netdata)
    6. Zabbix (zabbix/zabbix)
    7. New Relic

    AI recommended 7 alternatives but never named BingZi-233/check-cx. 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 BingZi-233/check-cx?
    pass
    AI named BingZi-233/check-cx explicitly

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

  • If a team adopts BingZi-233/check-cx in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BingZi-233/check-cx 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 BingZi-233/check-cx solve, and who is the primary audience?
    pass
    AI did not name BingZi-233/check-cx — 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

Drop this badge into the README of BingZi-233/check-cx. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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BingZi-233/check-cx — RepoGEO report