RRepoGEO

REPOGEO REPORT · LITE

disler/claude-code-hooks-multi-agent-observability

Default branch main · commit 8a6e5cf7 · scanned 5/27/2026, 2:58:19 PM

GitHub: 1,434 stars · 376 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 disler/claude-code-hooks-multi-agent-observability, 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 for categorization

    Why:

    COPY-PASTE FIX
    ["claude", "anthropic", "multi-agent", "observability", "ai-agents", "monitoring", "real-time", "hooks", "agent-orchestration"]
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.
  • mediumreadme#3
    Refine README's opening sentence for clearer positioning

    Why:

    CURRENT
    # Multi-Agent Observability System

Real-time monitoring and visualization for Claude Code agents through comprehensive hook event tracking.
    COPY-PASTE FIX
    # Multi-Agent Observability System

This system provides real-time monitoring and visualization specifically for Anthropic Claude Code agents, offering comprehensive hook event tracking for multi-agent orchestration.

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 disler/claude-code-hooks-multi-agent-observability
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datadog APM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Datadog APM · recommended 2×
  2. Datadog · recommended 2×
  3. LangChain Plus (LangSmith) · recommended 1×
  4. open-telemetry/opentelemetry-specification · recommended 1×
  5. jaegertracing/jaeger · recommended 1×
  • CATEGORY QUERY
    How to get real-time observability and visualize event traces for multiple AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (LangSmith)
    2. OpenTelemetry (open-telemetry/opentelemetry-specification)
    3. Jaeger (jaegertracing/jaeger)
    4. Zipkin (openzipkin/zipkin)
    5. Datadog APM
    6. Grafana Tempo (grafana/tempo)
    7. Grafana Loki (grafana/loki)
    8. Prometheus (prometheus/prometheus)
    9. Grafana (grafana/grafana)
    10. Weights & Biases (W&B) Prompts
    11. Azure Application Insights
    12. AWS X-Ray
    13. Google Cloud Trace

    AI recommended 13 alternatives but never named disler/claude-code-hooks-multi-agent-observability. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help track agent lifecycle events and tool calls in an AI orchestration system?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. OpenTelemetry
    4. Jaeger
    5. Honeycomb
    6. Datadog
    7. Arize AI
    8. Weights & Biases
    9. W&B Prompts
    10. Datadog
    11. Datadog APM
    12. Grafana Tempo
    13. Loki
    14. Prometheus

    AI recommended 14 alternatives but never named disler/claude-code-hooks-multi-agent-observability. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 disler/claude-code-hooks-multi-agent-observability?
    pass
    AI did not name disler/claude-code-hooks-multi-agent-observability — 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 disler/claude-code-hooks-multi-agent-observability in production, what risks or prerequisites should they evaluate first?
    pass
    AI named disler/claude-code-hooks-multi-agent-observability 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 disler/claude-code-hooks-multi-agent-observability solve, and who is the primary audience?
    pass
    AI did not name disler/claude-code-hooks-multi-agent-observability — 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?

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disler/claude-code-hooks-multi-agent-observability — 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