RRepoGEO

REPOGEO REPORT · LITE

superloglabs/superlog

Default branch main · commit 0f8e4d0d · scanned 6/15/2026, 7:07:34 PM

GitHub: 825 stars · 51 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 superloglabs/superlog, 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
    Update the README's 'About' section to clearly state the AI-driven self-healing capability

    Why:

    CURRENT
    Superlog is an open-source agentic telemetry system. It ingests traces, logs, and metrics, groups noisy signals into incidents, and watches your infra while you sleep.
    COPY-PASTE FIX
    Superlog is an open-source observability tool that uses AI agents to self-heal your software. It ingests traces, logs, and metrics, groups noisy signals into incidents, and watches your infra while you sleep.
  • mediumtopics#2
    Add more specific AI-driven and self-healing topics

    Why:

    CURRENT
    ai, llm, memory, observability, opentelemetry, react, self-hosted, skills, typescript
    COPY-PASTE FIX
    ai, llm, memory, observability, opentelemetry, react, self-hosted, skills, typescript, ai-agents, self-healing, incident-management, autonomous-monitoring
  • mediumreadme#3
    Add a note about production readiness to the README

    Why:

    COPY-PASTE FIX
    ### Production Readiness Note
Superlog is actively under development, and its roadmap explicitly lists 'Production Readiness' as a future goal. Teams considering adoption should evaluate this status carefully.

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 superloglabs/superlog
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Grafana Labs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Grafana Labs · recommended 1×
  2. Grafana · recommended 1×
  3. Loki · recommended 1×
  4. Prometheus · recommended 1×
  5. Tempo · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source observability platform that leverages AI for incident detection and self-healing.
    you: not recommended
    AI recommended (in order):
    1. Grafana Labs
    2. Grafana
    3. Loki
    4. Prometheus
    5. Tempo
    6. Mimir
    7. Cortex
    8. Thanos
    9. OpenNMS
    10. ElastAlert
    11. scikit-learn
    12. TensorFlow
    13. PyTorch
    14. Ansible
    15. Kubernetes Operators
    16. Horizon
    17. Meridian
    18. Elastic Stack
    19. Elasticsearch
    20. Kibana
    21. Logstash
    22. Beats
    23. Alertmanager
    24. Apache Flink
    25. Apache Kafka Streams
    26. Kubernetes API
    27. Ansible Tower
    28. XGBoost
    29. ClickHouse

    AI recommended 29 alternatives but never named superloglabs/superlog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for AI-driven incident management and autonomous infrastructure monitoring?
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Splunk Observability Cloud
    3. Dynatrace
    4. New Relic One
    5. PagerDuty
    6. Moogsoft
    7. LogicMonitor

    AI recommended 7 alternatives but never named superloglabs/superlog. 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 superloglabs/superlog?
    pass
    AI named superloglabs/superlog explicitly

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

  • If a team adopts superloglabs/superlog in production, what risks or prerequisites should they evaluate first?
    pass
    AI named superloglabs/superlog 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 superloglabs/superlog solve, and who is the primary audience?
    pass
    AI named superloglabs/superlog explicitly

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

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superloglabs/superlog — 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