RRepoGEO

REPOGEO REPORT · LITE

VariantConst/OpenWebUI-Monitor

Default branch main · commit 4ad0f673 · scanned 6/2/2026, 6:07:09 AM

GitHub: 529 stars · 112 forks

AI VISIBILITY SCORE
28 /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
2 / 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 VariantConst/OpenWebUI-Monitor, 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 comprehensive topics to the repository

    Why:

    COPY-PASTE FIX
    ["openwebui", "ai-chatbot", "usage-monitoring", "cost-management", "user-quotas", "dashboard", "llm-observability", "ai-governance"]
  • mediumreadme#2
    Reposition README opening to emphasize user and cost management

    Why:

    CURRENT
    A monitoring dashboard for OpenWebUI that tracks usage and manages user balances. Simply add a function to OpenWebUI to view user activity and balances in a unified panel.
    COPY-PASTE FIX
    This monitoring dashboard for OpenWebUI empowers administrators to track individual user activity, enforce usage limits, and manage AI model costs effectively. It provides a unified panel to view user balances and consumption, ensuring fair usage and transparent billing within your OpenWebUI instance.
  • lowreadme#3
    Add a 'Who is this for?' section to the README

    Why:

    COPY-PASTE FIX
    ### Who is this for?

This tool is designed for OpenWebUI administrators and self-hosters who need to monitor user activity, set usage quotas, and manage the costs associated with AI model consumption within their OpenWebUI deployments. It's ideal for internal teams, educational institutions, or small businesses looking for granular control over their AI chatbot resources.

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 VariantConst/OpenWebUI-Monitor
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Grafana
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. Grafana · recommended 3×
  2. Datadog · recommended 2×
  3. Prometheus · recommended 2×
  4. Censius AI Observability Platform · recommended 2×
  5. Langfuse · recommended 1×
  • CATEGORY QUERY
    How to track user token consumption and manage costs for an internal AI chatbot?
    you: not recommended
    AI recommended (in order):
    1. Langfuse
    2. Helicone
    3. OpenAI Evals
    4. PostgreSQL
    5. MongoDB
    6. Grafana
    7. Metabase
    8. Datadog
    9. Prometheus
    10. Grafana
    11. Censius AI Observability Platform
    12. Vellum

    AI recommended 12 alternatives but never named VariantConst/OpenWebUI-Monitor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a dashboard to monitor AI model usage and enforce user spending limits.
    you: not recommended
    AI recommended (in order):
    1. Censius AI Observability Platform
    2. Arize AI
    3. Grafana
    4. Prometheus
    5. InfluxDB
    6. Datadog
    7. Splunk
    8. AWS CloudWatch
    9. Azure Monitor
    10. Google Cloud Monitoring

    AI recommended 10 alternatives but never named VariantConst/OpenWebUI-Monitor. 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 VariantConst/OpenWebUI-Monitor?
    pass
    AI named VariantConst/OpenWebUI-Monitor explicitly

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

  • If a team adopts VariantConst/OpenWebUI-Monitor in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VariantConst/OpenWebUI-Monitor 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 VariantConst/OpenWebUI-Monitor solve, and who is the primary audience?
    pass
    AI did not name VariantConst/OpenWebUI-Monitor — 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?

Embed your GEO score

Drop this badge into the README of VariantConst/OpenWebUI-Monitor. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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VariantConst/OpenWebUI-Monitor — 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