RRepoGEO

REPOGEO REPORT · LITE

monoscope-tech/monoscope

Default branch master · commit ecc4eb2b · scanned 6/5/2026, 4:32:22 AM

GitHub: 1,021 stars · 40 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 monoscope-tech/monoscope, 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
    Add a 'Why Monoscope?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Monoscope?

Unlike traditional observability platforms that require complex storage setups, Monoscope natively stores all your logs, traces, and metrics directly in your S3 buckets, offering unparalleled cost efficiency and data ownership. Furthermore, we empower users with natural language querying via LLMs and proactive AI agents for anomaly detection, features often missing or limited in other self-hosted solutions.
  • mediumreadme#2
    Ensure the primary README title is an H1

    Why:

    CURRENT
    ### Open-source observability platform with S3 storage
    COPY-PASTE FIX
    # Open-source observability platform with S3 storage
  • lowtopics#3
    Expand repository topics with AI/LLM and anomaly detection keywords

    Why:

    CURRENT
    haskell, logs, metrics, monitoring, observability, opentelemetry, s3, self-hosted, timescaledb, tracing
    COPY-PASTE FIX
    haskell, logs, metrics, monitoring, observability, opentelemetry, s3, self-hosted, timescaledb, tracing, llm, ai, anomaly-detection, natural-language-processing, data-lake

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 monoscope-tech/monoscope
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Grafana Mimir
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Grafana Mimir · recommended 2×
  2. Grafana · recommended 2×
  3. OpenSearch · recommended 2×
  4. Elasticsearch · recommended 2×
  5. Prometheus · recommended 2×
  • CATEGORY QUERY
    Seeking an open-source observability platform for logs, traces, and metrics with S3 storage.
    you: not recommended
    AI recommended (in order):
    1. Grafana Loki
    2. Grafana Tempo
    3. Grafana Mimir
    4. Grafana
    5. OpenTelemetry Collector
    6. ClickHouse
    7. OpenSearch
    8. Elasticsearch
    9. Prometheus
    10. Thanos
    11. VictoriaMetrics

    AI recommended 11 alternatives but never named monoscope-tech/monoscope. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What self-hosted monitoring solutions provide natural language querying and AI anomaly detection?
    you: not recommended
    AI recommended (in order):
    1. Grafana
    2. Grafana Mimir
    3. Loki
    4. Tempo
    5. Prometheus
    6. Thanos
    7. Grafana AI plugin
    8. Prometheus Anomaly Detector
    9. Kubeflow
    10. MLflow
    11. OpenSearch
    12. Elasticsearch
    13. OpenSearch Dashboards
    14. Kibana
    15. Anomaly Detection plugin
    16. VictoriaMetrics
    17. Netdata
    18. Alertmanager

    AI recommended 18 alternatives but never named monoscope-tech/monoscope. 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 monoscope-tech/monoscope?
    pass
    AI named monoscope-tech/monoscope explicitly

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

  • If a team adopts monoscope-tech/monoscope in production, what risks or prerequisites should they evaluate first?
    pass
    AI named monoscope-tech/monoscope 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 monoscope-tech/monoscope solve, and who is the primary audience?
    pass
    AI named monoscope-tech/monoscope 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 monoscope-tech/monoscope. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/monoscope-tech/monoscope.svg)](https://repogeo.com/en/r/monoscope-tech/monoscope)
HTML
<a href="https://repogeo.com/en/r/monoscope-tech/monoscope"><img src="https://repogeo.com/badge/monoscope-tech/monoscope.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

monoscope-tech/monoscope — 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