RRepoGEO

REPOGEO REPORT · LITE

Tracer-Cloud/opensre

Default branch main · commit b458160b · scanned 6/27/2026, 8:41:34 PM

GitHub: 7,627 stars · 1,002 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 Tracer-Cloud/opensre, 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 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## How OpenSRE Compares' or '## OpenSRE vs. X', explicitly stating how OpenSRE acts as an AI SRE *framework* that *integrates* with or orchestrates tools like PagerDuty (for alerting/incident management), Splunk (for logs/metrics), OpenTelemetry (for data collection), and Keptn (for CI/CD orchestration), rather than replacing them. Emphasize its role in building *AI agents* for SRE.
  • mediumreadme#2
    Expand the README's 'Capabilities & Integrations' section

    Why:

    CURRENT
    Capabilities & integrations
    COPY-PASTE FIX
    Expand this section to explicitly list common integrations (e.g., Prometheus, Grafana, Datadog, Splunk, PagerDuty, Slack) and detail how OpenSRE leverages them for AI-driven incident response, root cause analysis, and automated remediation, providing concrete examples of agent capabilities.
  • lowhomepage#3
    Update the repository's Homepage metadata

    Why:

    CURRENT
    https://discord.com/invite/opensre
    COPY-PASTE FIX
    https://www.opensre.com

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 Tracer-Cloud/opensre
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PagerDuty
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PagerDuty · recommended 1×
  2. PagerDuty Process Automation · recommended 1×
  3. PagerDuty Analytics · recommended 1×
  4. PagerDuty Event Intelligence · recommended 1×
  5. Splunk · recommended 1×
  • CATEGORY QUERY
    How can I automate incident response and root cause analysis using AI for SRE?
    you: not recommended
    AI recommended (in order):
    1. PagerDuty
    2. PagerDuty Process Automation
    3. PagerDuty Analytics
    4. PagerDuty Event Intelligence
    5. Splunk
    6. Splunk IT Service Intelligence
    7. Splunk Observability Cloud
    8. Splunk On-Call
    9. Datadog
    10. Datadog Watchdog
    11. Datadog Incident Management
    12. Dynatrace
    13. Davis AI
    14. Moogsoft
    15. Grafana Incident
    16. Grafana Cloud
    17. Grafana Enterprise
    18. Grafana Machine Learning Toolkit
    19. Cortex (cortexproject/cortex)
    20. Prometheus (prometheus/prometheus)
    21. Grafana (grafana/grafana)
    22. TensorFlow (tensorflow/tensorflow)
    23. PyTorch (pytorch/pytorch)
    24. scikit-learn (scikit-learn/scikit-learn)

    AI recommended 24 alternatives but never named Tracer-Cloud/opensre. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source framework helps integrate existing observability tools for AI-driven SRE automation?
    you: not recommended
    AI recommended (in order):
    1. Keptn
    2. OpenTelemetry
    3. Cortex/Thanos
    4. Prometheus Alertmanager
    5. Grafana

    AI recommended 5 alternatives but never named Tracer-Cloud/opensre. 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 Tracer-Cloud/opensre?
    pass
    AI named Tracer-Cloud/opensre explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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