RRepoGEO

REPOGEO REPORT · LITE

ObservedObserver/viz-gpt

Default branch main · commit 9cfd2c9b · scanned 6/1/2026, 12:51:54 AM

GitHub: 624 stars · 74 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 ObservedObserver/viz-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
  • highreadme#1
    Add a clear positioning statement to the README's introduction

    Why:

    CURRENT
    Use GPT to generate visualization from datasets with natural language. You can edit the visualization in the context step by step to make it more precise without retyping the complex query. VizGPT turns your text queries and chat into data visualization or charts.
    COPY-PASTE FIX
    VizGPT is an open-source tool that leverages GPT to generate data visualizations from tabular datasets using natural language, with a strong emphasis on local data processing and user privacy. It offers a chat interface to create and refine charts step-by-step, providing a flexible alternative to traditional BI tools and cloud-based solutions.
  • mediumlicense#2
    Add a section to the README clarifying the project's license

    Why:

    COPY-PASTE FIX
    ## License
VizGPT is released under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details on usage and distribution.
  • lowabout#3
    Refine the repository description to highlight its open-source and local-first nature

    Why:

    CURRENT
    Make contextual data visualization with Chat Interface from tabular datasets. AI data visualization.
    COPY-PASTE FIX
    VizGPT is an open-source tool for contextual data visualization with a Chat Interface from tabular datasets, emphasizing local data processing and privacy. AI data visualization.

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 ObservedObserver/viz-gpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ThoughtSpot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ThoughtSpot · recommended 2×
  2. ChatGPT with Advanced Data Analysis · recommended 1×
  3. Microsoft Copilot · recommended 1×
  4. Tableau Pulse · recommended 1×
  5. Power BI Copilot · recommended 1×
  • CATEGORY QUERY
    How to generate data visualizations from natural language using a chat interface?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT with Advanced Data Analysis
    2. Microsoft Copilot
    3. Tableau Pulse
    4. Power BI Copilot
    5. Google Gemini
    6. ThoughtSpot
    7. VizGPT

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

    Show full AI answer
  • CATEGORY QUERY
    What tools can create charts from tabular datasets using AI and conversational commands?
    you: not recommended
    AI recommended (in order):
    1. Tableau CRM
    2. Microsoft Power BI
    3. ThoughtSpot
    4. Qlik Sense
    5. Google Looker
    6. DataRobot
    7. ChatGPT/GPT-4

    AI recommended 7 alternatives but never named ObservedObserver/viz-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
    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 ObservedObserver/viz-gpt?
    pass
    AI named ObservedObserver/viz-gpt explicitly

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

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

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

Embed your GEO score

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ObservedObserver/viz-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