RRepoGEO

REPOGEO REPORT · LITE

BBuf/AI-Infra-Auto-Driven-SKILLS

Default branch main · commit d45b5cc1 · scanned 6/8/2026, 8:27:04 PM

GitHub: 542 stars · 49 forks

AI VISIBILITY SCORE
10 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
0 / 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 BBuf/AI-Infra-Auto-Driven-SKILLS, 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
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    Agent-ready playbooks for LLM serving benchmarks, capacity planning, torch-profiler triage, pipeline analysis, compute simulation, SGLang/vLLM optimization, human code review, production incidents, and model PR intelligence.
  • hightopics#2
    Add specific, descriptive topics

    Why:

    COPY-PASTE FIX
    ai-agents, llm-serving, infrastructure-automation, capacity-planning, torch-profiler, vllm, sglang, mlops, ai-infrastructure, production-incidents, benchmarks
  • highlicense#3
    Add a LICENSE file and clarify licensing

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the chosen open-source license (e.g., MIT, Apache-2.0) and add a line to the README stating 'This project is licensed under the [License Name] License - see the LICENSE file for details.'

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 BBuf/AI-Infra-Auto-Driven-SKILLS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Prometheus
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Prometheus · recommended 2×
  2. Grafana · recommended 2×
  3. MLflow · recommended 2×
  4. OpenAI GPT-4 · recommended 1×
  5. OpenAI GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How can I automate LLM serving benchmarks and capacity planning with AI agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. OpenAI GPT-3.5 Turbo
    3. LangChain
    4. LlamaIndex
    5. Locust
    6. Prometheus
    7. Grafana
    8. Kubernetes
    9. KServe
    10. Seldon Core
    11. Ray Serve
    12. Weights & Biases (W&B)
    13. MLflow

    AI recommended 13 alternatives but never named BBuf/AI-Infra-Auto-Driven-SKILLS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for profiling and triaging production incidents in large language model serving environments?
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Grafana
    3. Prometheus
    4. Loki
    5. New Relic
    6. Sentry
    7. Weights & Biases
    8. MLflow
    9. OpenTelemetry
    10. Elastic Stack
    11. Elasticsearch
    12. Kibana
    13. Beats
    14. Logstash

    AI recommended 14 alternatives but never named BBuf/AI-Infra-Auto-Driven-SKILLS. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 BBuf/AI-Infra-Auto-Driven-SKILLS?
    pass
    AI did not name BBuf/AI-Infra-Auto-Driven-SKILLS — 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 BBuf/AI-Infra-Auto-Driven-SKILLS in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name BBuf/AI-Infra-Auto-Driven-SKILLS — 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 BBuf/AI-Infra-Auto-Driven-SKILLS solve, and who is the primary audience?
    pass
    AI did not name BBuf/AI-Infra-Auto-Driven-SKILLS — 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

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BBuf/AI-Infra-Auto-Driven-SKILLS — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite