RRepoGEO

REPOGEO REPORT · LITE

xiaopujun/light-chaser

Default branch master · commit cd247695 · scanned 6/5/2026, 6:51:47 PM

GitHub: 865 stars · 126 forks

AI VISIBILITY SCORE
22 /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
1 / 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 xiaopujun/light-chaser, 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 to clearly state its platform identity

    Why:

    COPY-PASTE FIX
    Add a clear, concise English statement at the very top of your `README.md` (or `README_EN.md`) that explicitly states: 'LIGHT CHASER is a full-stack, open-source data visualization design platform for building interactive dashboards with drag-and-drop and blueprint logic.'
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, for example, using the MIT License.
  • mediumabout#3
    Enhance the repository's About description

    Why:

    CURRENT
    light chaser is a lightweight data visualization designer tool
    COPY-PASTE FIX
    Light Chaser is a full-stack, open-source data visualization design platform for building interactive dashboards with drag-and-drop and blueprint logic.

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 xiaopujun/light-chaser
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
grafana/grafana
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. grafana/grafana · recommended 1×
  2. apache/superset · recommended 1×
  3. getredash/redash · recommended 1×
  4. metabase/metabase · recommended 1×
  5. chartjs/Chart.js · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source web-based data visualization editor with drag-and-drop capabilities.
    you: not recommended
    AI recommended (in order):
    1. Grafana (grafana/grafana)
    2. Apache Superset (apache/superset)
    3. Redash (getredash/redash)
    4. Metabase (metabase/metabase)
    5. Chart.js (chartjs/Chart.js)
    6. ECharts (apache/echarts)

    AI recommended 6 alternatives but never named xiaopujun/light-chaser. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good full-stack platforms for building interactive data dashboards with blueprint logic?
    you: not recommended
    AI recommended (in order):
    1. Retool
    2. Appsmith
    3. Budibase
    4. Dash
    5. Streamlit
    6. Microsoft Power Apps
    7. OutSystems

    AI recommended 7 alternatives but never named xiaopujun/light-chaser. 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 xiaopujun/light-chaser?
    pass
    AI did not name xiaopujun/light-chaser — likely talking about a different project

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

  • If a team adopts xiaopujun/light-chaser in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xiaopujun/light-chaser 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 xiaopujun/light-chaser solve, and who is the primary audience?
    pass
    AI did not name xiaopujun/light-chaser — likely talking about a different project

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

Embed your GEO score

Drop this badge into the README of xiaopujun/light-chaser. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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xiaopujun/light-chaser — 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