RRepoGEO

REPOGEO REPORT · LITE

Scale3-Labs/langtrace

Default branch main · commit 8c0a31fc · scanned 5/17/2026, 1:56:16 PM

GitHub: 1,203 stars · 125 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 Scale3-Labs/langtrace, 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 README opening to clarify LLM-specific value over generic OpenTelemetry

    Why:

    CURRENT
    Langtrace is an open source observability software which lets you capture, debug and analyze traces and metrics from all your applications that leverages LLM APIs, Vector Databases and LLM based Frameworks.
    COPY-PASTE FIX
    Langtrace is an open-source, OpenTelemetry-native observability platform *built specifically for LLM applications*, providing specialized tracing, evaluations, and metrics that generic observability tools or raw OpenTelemetry implementations often miss for AI workflows.
  • hightopics#2
    Add more specific LLM-observability related topics

    Why:

    CURRENT
    ai, datasets, evaluations, gpt, langchain, llm, llm-framework, llmops, observability, open-source, open-telemetry, openai, prompt-engineering, tracing
    COPY-PASTE FIX
    ai, datasets, evaluations, gpt, langchain, llm, llm-framework, llmops, observability, open-source, open-telemetry, openai, prompt-engineering, tracing, llm-observability, ai-observability, llm-monitoring, llm-tracing
  • mediumfaq#3
    Add an FAQ entry comparing Langtrace to common alternatives

    Why:

    COPY-PASTE FIX
    Add a new FAQ entry: "How does Langtrace compare to LangChain Plus (LangSmith) or using raw OpenTelemetry for LLMs?" and provide a concise answer highlighting Langtrace's open-source, OpenTelemetry-native, and end-to-end LLM-specific focus.

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 Scale3-Labs/langtrace
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenTelemetry
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenTelemetry · recommended 2×
  2. Helicone · recommended 2×
  3. LangChain Plus (LangSmith) · recommended 1×
  4. Datadog · recommended 1×
  5. New Relic · recommended 1×
  • CATEGORY QUERY
    How can I monitor and evaluate my LLM application's performance with real-time tracing?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (LangSmith)
    2. OpenTelemetry
    3. Datadog
    4. New Relic
    5. Honeycomb
    6. Arize AI
    7. Weights & Biases (W&B Prompts)
    8. Helicone
    9. Portkey.ai
    10. ELK Stack
    11. Elasticsearch
    12. Logstash
    13. Kibana
    14. Grafana Loki

    AI recommended 14 alternatives but never named Scale3-Labs/langtrace. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools provide end-to-end observability and metrics for Python LLM applications?
    you: not recommended
    AI recommended (in order):
    1. OpenTelemetry
    2. Prometheus
    3. Grafana
    4. Jaeger
    5. LangChain
    6. LangSmith
    7. LlamaIndex
    8. Weights & Biases
    9. Helicone
    10. Loguru
    11. Loki

    AI recommended 11 alternatives but never named Scale3-Labs/langtrace. 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 Scale3-Labs/langtrace?
    pass
    AI named Scale3-Labs/langtrace explicitly

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

  • If a team adopts Scale3-Labs/langtrace in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Scale3-Labs/langtrace 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 Scale3-Labs/langtrace solve, and who is the primary audience?
    pass
    AI named Scale3-Labs/langtrace explicitly

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

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Scale3-Labs/langtrace — 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