RRepoGEO

REPOGEO REPORT · LITE

prehisle/relay-pulse

Default branch main · commit 11b8239a · scanned 6/6/2026, 7:46:44 PM

GitHub: 1,000 stars · 84 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 prehisle/relay-pulse, 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 specific English topics to the repository

    Why:

    COPY-PASTE FIX
    llm-monitoring, api-monitoring, uptime-monitoring, observability, large-language-models, ai-ops, devops, golang, react
  • highabout#2
    Add an English translation to the repository's 'About' description

    Why:

    CURRENT
    企业级 LLM 中转服务可用性监控系统，实时追踪服务状态并提供可视化仪表板。
    COPY-PASTE FIX
    Enterprise-grade LLM relay service availability monitoring system, real-time tracking service status and providing a visual dashboard. Monitors LLM API uptime and quality by making real token-consuming calls.
  • mediumreadme#3
    Add a concise English summary to the top of the README

    Why:

    CURRENT
    <div align="center">

# Relay Pulse

### 拒绝 API 假活，基于真实调用的 LLM 服务质量观测台

**中文** | [English](README.en.md)
    COPY-PASTE FIX
    <div align="center">

# Relay Pulse

### An enterprise-grade LLM API monitoring system that tracks service availability and quality by making real token-consuming calls, preventing 'false positives' from traditional HTTP checks.

### 拒绝 API 假活，基于真实调用的 LLM 服务质量观测台

**中文** | [English](README.en.md)

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 prehisle/relay-pulse
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Grafana
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Grafana · recommended 2×
  2. Prometheus · recommended 2×
  3. Datadog · recommended 2×
  4. Honeycomb · recommended 2×
  5. UptimeRobot · recommended 1×
  • CATEGORY QUERY
    How to accurately monitor LLM API service uptime and response quality?
    you: not recommended
    AI recommended (in order):
    1. UptimeRobot
    2. Grafana
    3. Prometheus
    4. VictoriaMetrics
    5. Datadog
    6. Postman Monitors
    7. Checkly
    8. Honeycomb
    9. LangChain

    AI recommended 9 alternatives but never named prehisle/relay-pulse. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for tracking performance and availability of multiple large language model APIs?
    you: not recommended
    AI recommended (in order):
    1. LangSmith
    2. Helicone
    3. OpenTelemetry
    4. Grafana Tempo
    5. Honeycomb
    6. Datadog
    7. Prometheus
    8. Grafana

    AI recommended 8 alternatives but never named prehisle/relay-pulse. 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 prehisle/relay-pulse?
    pass
    AI did not name prehisle/relay-pulse — 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 prehisle/relay-pulse in production, what risks or prerequisites should they evaluate first?
    pass
    AI named prehisle/relay-pulse 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 prehisle/relay-pulse solve, and who is the primary audience?
    pass
    AI named prehisle/relay-pulse 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 prehisle/relay-pulse. 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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MARKDOWN (README)
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prehisle/relay-pulse — 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