RRepoGEO

REPOGEO REPORT · LITE

tugcantopaloglu/openclaw-dashboard

Default branch main · commit d6198d02 · scanned 6/3/2026, 2:21:55 PM

GitHub: 675 stars · 120 forks

AI VISIBILITY SCORE
22 /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
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 tugcantopaloglu/openclaw-dashboard, 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
    Emphasize 'self-hosted' and 'AI agent specific' in README's opening

    Why:

    CURRENT
    A beautiful, secure, real-time monitoring dashboard for OpenClaw agents. Track sessions, monitor API usage, view costs, manage memory files, and keep tabs on system health — all in one place.
    COPY-PASTE FIX
    OpenClaw Agent Dashboard is a beautiful, secure, **self-hosted**, real-time monitoring dashboard specifically designed for OpenClaw AI agents. It provides a dedicated interface to track sessions, monitor API usage, view costs, manage memory files, and keep tabs on system health — all in one place.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License, as implied by the README's `[](https://opensource.org/licenses/MIT)` link.
  • mediumhomepage#3
    Update the 'Homepage' field to the main repository URL

    Why:

    CURRENT
    https://github.com/tugcantopaloglu/openclaw-dashboard/releases/tag/v2.0.0
    COPY-PASTE FIX
    https://github.com/tugcantopaloglu/openclaw-dashboard

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 tugcantopaloglu/openclaw-dashboard
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datadog
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Datadog · recommended 2×
  2. Prometheus · recommended 2×
  3. Grafana · recommended 2×
  4. New Relic · recommended 2×
  5. LangChain Plus (LangSmith) · recommended 1×
  • CATEGORY QUERY
    How can I monitor my AI agent's performance, API usage, and associated costs?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (LangSmith)
    2. OpenAI Evals
    3. OpenAI Playground (Usage Tab)
    4. Datadog
    5. Prometheus
    6. Grafana
    7. New Relic
    8. Weights & Biases (W&B)
    9. AWS CloudWatch Logs
    10. Google Cloud Logging
    11. Azure Monitor Logs
    12. AWS Cost Explorer
    13. Google Cloud Billing Reports
    14. Azure Cost Management

    AI recommended 14 alternatives but never named tugcantopaloglu/openclaw-dashboard. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-hosted secure dashboard to manage and observe multiple AI agents in real-time.
    you: not recommended
    AI recommended (in order):
    1. Grafana
    2. Prometheus
    3. InfluxDB
    4. Elasticsearch
    5. Logstash
    6. Kibana
    7. Beats
    8. Filebeat
    9. Metricbeat
    10. Netdata
    11. Apache Superset
    12. Django
    13. Flask
    14. D3.js
    15. React
    16. Vue.js
    17. Angular
    18. Chart.js
    19. RabbitMQ
    20. Kafka
    21. Finch
    22. Datadog
    23. New Relic

    AI recommended 23 alternatives but never named tugcantopaloglu/openclaw-dashboard. 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 tugcantopaloglu/openclaw-dashboard?
    pass
    AI did not name tugcantopaloglu/openclaw-dashboard — 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 tugcantopaloglu/openclaw-dashboard in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name tugcantopaloglu/openclaw-dashboard — 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?

  • In one sentence, what problem does the repo tugcantopaloglu/openclaw-dashboard solve, and who is the primary audience?
    pass
    AI named tugcantopaloglu/openclaw-dashboard explicitly

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

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