RRepoGEO

REPOGEO REPORT · LITE

deepflowio/deepflow

Default branch main · commit 5d10074f · scanned 5/24/2026, 11:07:17 PM

GitHub: 4,096 stars · 458 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 deepflowio/deepflow, 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 core value proposition to the README's immediate opening.

    Why:

    CURRENT
    The current README starts with a centered paragraph and badges before the H1 `# What is DeepFlow`.
    COPY-PASTE FIX
    Move the core value proposition to be the very first prominent text, ideally as the H1 or immediately following it. For example, change `# What is DeepFlow` to `# DeepFlow: Zero-Code, Full-Stack eBPF Observability for Cloud-Native & AI Applications`.
  • mediumabout#2
    Enhance the repository description to highlight key differentiators.

    Why:

    CURRENT
    eBPF Observability - Distributed Tracing and Profiling
    COPY-PASTE FIX
    DeepFlow provides zero-code, full-stack eBPF observability for cloud-native and AI applications, offering distributed tracing, profiling, and metrics without instrumentation.
  • mediumreadme#3
    Add a 'Why DeepFlow?' or 'Comparison' section to the README.

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, `## Why DeepFlow?` or `## DeepFlow vs. Alternatives`, that explicitly outlines how DeepFlow's zero-code eBPF approach differentiates it from other observability platforms and eBPF tools.

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 deepflowio/deepflow
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datadog
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Datadog · recommended 2×
  2. Dynatrace · recommended 1×
  3. New Relic One · recommended 1×
  4. Prometheus · recommended 1×
  5. Grafana · recommended 1×
  • CATEGORY QUERY
    How to get full-stack observability for Kubernetes applications without code instrumentation?
    you: not recommended
    AI recommended (in order):
    1. Dynatrace
    2. Datadog
    3. New Relic One
    4. Prometheus
    5. Grafana
    6. Loki
    7. Thanos
    8. Splunk Observability Cloud
    9. Cisco AppDynamics

    AI recommended 9 alternatives but never named deepflowio/deepflow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best eBPF tools for distributed tracing and profiling AI workloads?
    you: not recommended
    AI recommended (in order):
    1. Pixie (pixie-io/pixie)
    2. Parca (parca-dev/parca)
    3. Datadog
    4. Cilium (cilium/cilium)
    5. Falco (falcosecurity/falco)
    6. BCC (iovisor/bcc)
    7. bpftrace (iovisor/bpftrace)

    AI recommended 7 alternatives but never named deepflowio/deepflow. 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 deepflowio/deepflow?
    pass
    AI named deepflowio/deepflow explicitly

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

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

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

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deepflowio/deepflow — 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