RRepoGEO

REPOGEO REPORT · LITE

traceroot-ai/traceroot

Default branch main · commit 4d2b9ff8 · scanned 6/8/2026, 10:11:13 PM

GitHub: 610 stars · 152 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 traceroot-ai/traceroot, 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 statement to emphasize AI agent observability

    Why:

    CURRENT
    [TraceRoot]("https://traceroot.ai/") is an open-source observability platform for AI agents — Capture traces, monitors production issues, and debug with AI that sees your source code and Github history.
    COPY-PASTE FIX
    TraceRoot: AI Agent Observability. This open-source platform provides an observability and self-healing layer specifically for AI agents. Capture traces, monitor production issues, and debug with AI that sees your source code and GitHub history.
  • mediumreadme#2
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    ## License
TraceRoot is licensed under a custom license. Please see the [LICENSE file](LICENSE) for full details.
  • lowcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
We understand you might be evaluating other tools like LangSmith, Weights & Biases Prompts, or Datadog. Here's how TraceRoot stands out: [Add specific points of differentiation here, e.g., focus on self-healing, specific AI debugging features, open-source nature, etc.]

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 traceroot-ai/traceroot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain Plus (now LangSmith)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain Plus (now LangSmith) · recommended 1×
  2. Weights & Biases (W&B) Prompts · recommended 1×
  3. Datadog · recommended 1×
  4. Prometheus · recommended 1×
  5. Grafana · recommended 1×
  • CATEGORY QUERY
    How can I monitor and debug issues in my production AI agent applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (now LangSmith)
    2. Weights & Biases (W&B) Prompts
    3. Datadog
    4. Prometheus
    5. Grafana
    6. Sentry
    7. OpenTelemetry

    AI recommended 7 alternatives but never named traceroot-ai/traceroot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking open-source tools to trace LLM calls and automatically debug AI agent failures.
    you: not recommended
    AI recommended (in order):
    1. LangChain Trace/LangSmith (langchain-ai/langchain)
    2. OpenReplay (openreplay/openreplay)
    3. WandB (Weights & Biases) Prompts (wandb/wandb)
    4. Arize AI (Arize-AI/arize-python)
    5. Helicone.ai (helicone-ai/helicone)
    6. LlamaIndex (run-llama/llama_index)

    AI recommended 6 alternatives but never named traceroot-ai/traceroot. 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 traceroot-ai/traceroot?
    pass
    AI named traceroot-ai/traceroot explicitly

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

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

    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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MARKDOWN (README)
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traceroot-ai/traceroot — RepoGEO report