RRepoGEO

REPOGEO REPORT · LITE

traceloop/openllmetry

Default branch main · commit 3735204a · scanned 5/10/2026, 7:31:11 AM

GitHub: 7,082 stars · 955 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 traceloop/openllmetry, 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
    Reposition the README's central statement to highlight automatic OpenTelemetry instrumentation

    Why:

    CURRENT
    <p align="center">Open-source observability for your LLM application</p>
    COPY-PASTE FIX
    <p align="center">Open-source, automatic, and standardized OpenTelemetry-based observability for your LLM application</p>
  • mediumreadme#2
    Add a concise introductory paragraph to the README's top section

    Why:

    COPY-PASTE FIX
    OpenLLMetry provides out-of-the-box, automatic instrumentation for popular LLM frameworks and libraries, seamlessly integrating with your existing OpenTelemetry setup to deliver comprehensive traces, metrics, and logs for your GenAI applications.
  • lowabout#3
    Refine the repository description to explicitly mention "automatic" instrumentation

    Why:

    CURRENT
    Open-source observability for your GenAI or LLM application, based on OpenTelemetry
    COPY-PASTE FIX
    Open-source, automatic observability for your GenAI or LLM application, based on OpenTelemetry

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 traceloop/openllmetry
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LangSmith · recommended 1×
  3. OpenTelemetry · recommended 1×
  4. Honeycomb · recommended 1×
  5. Datadog · recommended 1×
  • CATEGORY QUERY
    How to get observability for my Python-based generative AI applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. OpenTelemetry
    4. Honeycomb
    5. Datadog
    6. Grafana Tempo
    7. Grafana Loki
    8. Prometheus
    9. Grafana
    10. Weights & Biases
    11. W&B Prompts
    12. Arize AI
    13. Helicone
    14. Phoenix

    AI recommended 14 alternatives but never named traceloop/openllmetry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools offer open-source OpenTelemetry integration for LLM application monitoring?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenTelemetry Python SDK (open-telemetry/opentelemetry-python)
    4. Prometheus (prometheus/prometheus)
    5. OpenTelemetry Collector (open-telemetry/opentelemetry-collector)
    6. Grafana Tempo (grafana/tempo)
    7. Jaeger (jaegertracing/jaeger)
    8. SigNoz (SigNoz/signoz)

    AI recommended 8 alternatives but never named traceloop/openllmetry. 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 traceloop/openllmetry?
    pass
    AI named traceloop/openllmetry explicitly

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

  • If a team adopts traceloop/openllmetry in production, what risks or prerequisites should they evaluate first?
    pass
    AI named traceloop/openllmetry 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 traceloop/openllmetry solve, and who is the primary audience?
    pass
    AI named traceloop/openllmetry 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 traceloop/openllmetry. 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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traceloop/openllmetry — 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