RRepoGEO

REPOGEO REPORT · LITE

chirpz-ai/pandaprobe

Default branch main · commit c5781209 · scanned 6/25/2026, 7:01:58 PM

GitHub: 500 stars · 69 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 chirpz-ai/pandaprobe, 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
    Add a clear disclaimer and reinforce core purpose in README intro

    Why:

    CURRENT
    ## What is PandaProbe?
PandaProbe is an open source agent engineering platform.
    COPY-PASTE FIX
    ## What is PandaProbe? (Not for Pandas DataFrames!)
PandaProbe is an open source agent engineering platform for AI agents. It helps teams collaboratively trace, evaluate, and debug their AI agents.
  • mediumcomparison#2
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

While tools like LangSmith and OpenTelemetry offer robust tracing, PandaProbe focuses specifically on the unique challenges of AI agent engineering, providing tailored evaluations and metrics for frameworks like LangGraph and CrewAI. Unlike general-purpose observability platforms, PandaProbe is built from the ground up for debugging and improving agentic workflows.
  • mediumabout#3
    Optimize the 'About' description for direct value proposition

    Why:

    CURRENT
    open source agent engineering platform: traces, evals, and metrics to debug and improve your AI agents. Integrates with LangGraph, CrewAI, Claude Agent SDK, and more.
    COPY-PASTE FIX
    PandaProbe: The open-source agent engineering platform for debugging and improving AI agents with traces, evaluations, and metrics. Integrates with LangGraph, CrewAI, Claude Agent SDK, and more.

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 chirpz-ai/pandaprobe
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 can I effectively debug and improve my AI agents with tracing and evaluation metrics?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. OpenTelemetry
    4. Honeycomb
    5. Datadog
    6. Weights & Biases
    7. W&B Prompts
    8. MLflow
    9. ELK Stack
    10. Elasticsearch
    11. Logstash
    12. Kibana
    13. Grafana Loki
    14. LlamaIndex
    15. Deepchecks

    AI recommended 15 alternatives but never named chirpz-ai/pandaprobe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source platforms provide observability and evaluation for LangGraph or CrewAI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain Hub / LangSmith (langchain-ai/langchain)
    2. OpenTelemetry (open-telemetry/opentelemetry-specification)
    3. Jaeger (jaegertracing/jaeger)
    4. Prometheus (prometheus/prometheus)
    5. Grafana (grafana/grafana)
    6. WandB (Weights & Biases) (wandb/wandb)
    7. MLflow (mlflow/mlflow)
    8. Arize AI (Arize-AI/arize-python)

    AI recommended 8 alternatives but never named chirpz-ai/pandaprobe. 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 chirpz-ai/pandaprobe?
    pass
    AI named chirpz-ai/pandaprobe explicitly

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

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

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

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MARKDOWN (README)
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chirpz-ai/pandaprobe — 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