RRepoGEO

REPOGEO REPORT · LITE

kenn-io/agentsview

Default branch main · commit 458c7f96 · scanned 5/28/2026, 7:26:23 AM

GitHub: 1,123 stars · 143 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 kenn-io/agentsview, 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

2 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 sentence to clarify its specific niche

    Why:

    CURRENT
    # agentsview

Browse, search, and track costs across all your AI coding agents. One binary, no accounts, everything local.
    COPY-PASTE FIX
    # agentsview

Local-first session intelligence and analytics for AI coding agents. Browse, search, and track costs across Claude Code, Codex, and 20+ other agents, all in one binary, no accounts, everything local.
  • mediumcomparison#2
    Add a 'Comparison' or 'Why agentsview?' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison / Why agentsview?

Many tools track ML experiments (WandB, MLflow) or general infrastructure costs (Grafana, Prometheus). agentsview is purpose-built for local-first session intelligence and analytics specifically for *AI coding agents*. It offers deep integration with Claude Code, Codex, and 20+ agents, focusing on detailed session insights and cost tracking, all without cloud dependencies or accounts.

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 kenn-io/agentsview
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Grafana
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Grafana · recommended 2×
  2. Prometheus · recommended 2×
  3. WandB (Weights & Biases) · recommended 1×
  4. MLflow Tracking · recommended 1×
  5. TensorBoard · recommended 1×
  • CATEGORY QUERY
    How to track and analyze my AI coding assistant sessions locally?
    you: not recommended
    AI recommended (in order):
    1. WandB (Weights & Biases)
    2. MLflow Tracking
    3. TensorBoard
    4. Pandas
    5. Matplotlib
    6. Seaborn
    7. Jupyter Notebooks/Lab
    8. Grafana
    9. Prometheus
    10. prometheus_client

    AI recommended 10 alternatives but never named kenn-io/agentsview. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help monitor AI developer agent usage and costs across different platforms?
    you: not recommended
    AI recommended (in order):
    1. Langfuse
    2. Helicone
    3. OpenCost
    4. Grafana
    5. Prometheus
    6. Datadog
    7. New Relic
    8. Dynatrace

    AI recommended 8 alternatives but never named kenn-io/agentsview. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 kenn-io/agentsview?
    pass
    AI named kenn-io/agentsview explicitly

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

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

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

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kenn-io/agentsview — 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