RRepoGEO

REPOGEO REPORT · LITE

whoiskatrin/chart-gpt

Default branch main · commit afb3c7b8 · scanned 5/17/2026, 5:22:27 PM

GitHub: 3,590 stars · 345 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 whoiskatrin/chart-gpt, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai, charts, data-visualization, natural-language-processing, text-to-chart, generative-ai, nextjs, react, tailwindcss
  • highreadme#2
    Add a concise, benefit-oriented introduction to the README

    Why:

    CURRENT
    # Chart-GPT - text to beautiful charts within seconds
    
    <div align="center">
        
         
    </div>
    
    ## Getting Started
    COPY-PASTE FIX
    # Chart-GPT - text to beautiful charts within seconds
    
    **Chart-GPT is an AI-powered tool that transforms natural language descriptions into stunning, customizable data visualizations in seconds. Say goodbye to complex charting libraries and manual data manipulation; simply describe the chart you need, and let AI build it for you.**
    
    <div align="center">
        
         
    </div>
    
    ## Getting Started
  • mediumabout#3
    Refine the repository description for clarity and keywords

    Why:

    CURRENT
    AI tool to build charts based on text input
    COPY-PASTE FIX
    Generate beautiful, customizable data visualizations from natural language descriptions using AI. Transform text prompts into charts instantly.

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 whoiskatrin/chart-gpt
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 2×
  2. observablehq/plot · recommended 1×
  3. Tableau · recommended 1×
  4. Microsoft Power BI · recommended 1×
  5. Toucan Toco · recommended 1×
  • CATEGORY QUERY
    What tools can help me generate data visualizations from natural language descriptions?
    you: not recommended
    AI recommended (in order):
    1. Observable Plot (observablehq/plot)
    2. Tableau
    3. Microsoft Power BI
    4. Toucan Toco
    5. Datawrapper
    6. ChatGPT
    7. Google Looker Studio

    AI recommended 7 alternatives but never named whoiskatrin/chart-gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI-powered solution to quickly create various charts from simple text prompts.
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Microsoft Copilot
    3. Google Gemini
    4. Tableau Pulse
    5. ChartGPT
    6. Beautiful.ai
    7. Canva

    AI recommended 7 alternatives but never named whoiskatrin/chart-gpt. 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 whoiskatrin/chart-gpt?
    pass
    AI did not name whoiskatrin/chart-gpt — 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 whoiskatrin/chart-gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named whoiskatrin/chart-gpt 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 whoiskatrin/chart-gpt solve, and who is the primary audience?
    pass
    AI did not name whoiskatrin/chart-gpt — 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 whoiskatrin/chart-gpt. 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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whoiskatrin/chart-gpt — 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