RRepoGEO

REPOGEO REPORT · LITE

Scale3-Labs/langtrace

Default branch main · commit 8c0a31fc · scanned 6/28/2026, 6:26:19 PM

GitHub: 1,207 stars · 124 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 the README's opening paragraph to highlight core differentiators

    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 the **open-source, self-hostable observability platform** specifically designed for LLM applications. Built on OpenTelemetry standards, it empowers developers with complete data ownership and control to capture, debug, and analyze real-time traces and metrics from all LLM APIs, Vector Databases, and LLM frameworks.
  • mediumreadme#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison to Alternatives' or 'Langtrace in the Ecosystem' that briefly explains how Langtrace complements or differs from tools like LangChain, OpenTelemetry, LangSmith, and general observability platforms.
  • mediumtopics#3
    Expand repository topics with more specific LLM observability terms

    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, llm-monitoring, llm-tracing, ai-observability, ai-monitoring

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
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. LangSmith · recommended 2×
  3. Datadog · recommended 2×
  4. wandb/wandb · recommended 2×
  5. open-telemetry/opentelemetry-specification · recommended 1×
  • CATEGORY QUERY
    What tools provide end-to-end observability, tracing, and evaluations for LLM applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LangSmith
    3. OpenTelemetry (open-telemetry/opentelemetry-specification)
    4. Honeycomb
    5. Datadog
    6. Weights & Biases (W&B Prompts) (wandb/wandb)
    7. Arize AI
    8. Helicone (helicone/helicone)
    9. Datadog

    AI recommended 9 alternatives but never named Scale3-Labs/langtrace. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source solution for real-time LLM application monitoring with OpenTelemetry support.
    you: not recommended
    AI recommended (in order):
    1. Phoenix (Arize-AI/phoenix)
    2. LangChain (langchain-ai/langchain)
    3. LangSmith
    4. OpenTelemetry Collector (open-telemetry/opentelemetry-collector)
    5. Jaeger (jaegertracing/jaeger)
    6. Grafana Tempo (grafana/tempo)
    7. Prometheus (prometheus/prometheus)
    8. Grafana (grafana/grafana)
    9. Weights & Biases (wandb/wandb)

    AI recommended 9 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