RRepoGEO

REPOGEO REPORT · LITE

antvis/AVA

Default branch ai · commit 41a81614 · scanned 5/11/2026, 9:47:42 AM

GitHub: 1,480 stars · 154 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 antvis/AVA, 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 README opening to clarify developer framework role

    Why:

    CURRENT
    AVA ( Visual Analytics) is a technology framework designed for more convenient visual analytics. The first A has multiple meanings: AI native, Automated, Augmented, and VA stands for Visual Analytics. It can assist users in unstructured data loading, data processing and analysis, as well as visualization code generation.
    COPY-PASTE FIX
    AVA (AI-native Visual Analytics) is a **developer framework** designed to empower engineers and data scientists to **build** AI-powered visual analytics applications. It provides a programmatic library for unstructured data loading, intelligent data processing and analysis, and automated visualization code generation, enabling the creation of agents and tools that leverage AI for insights.
  • mediumtopics#2
    Add specific topics for LLM integration and developer tools

    Why:

    CURRENT
    augmented-analytics, auto-insight, chart-aigc, chart-recommendation, charts, data-visualization, insight, insight-gpt, narrative-charts, visualization
    COPY-PASTE FIX
    augmented-analytics, auto-insight, chart-aigc, chart-recommendation, charts, data-visualization, insight, insight-gpt, narrative-charts, visualization, llm-integration, natural-language-processing, developer-framework, data-analysis-library, ai-agents
  • lowreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps titled 'AVA vs. Other Tools,' with content like: 'Unlike end-user BI platforms (e.g., Tableau, Power BI) that provide ready-to-use dashboards, AVA is a programmatic library for developers to build custom AI-native visual analytics applications. While traditional visualization libraries (e.g., D3.js, ECharts) focus on rendering, AVA specializes in automated chart recommendation, insight discovery, and LLM-powered data analysis.'

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 antvis/AVA
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. Qlik Sense · recommended 2×
  3. Tableau Ask Data / Tableau Pulse · recommended 1×
  4. Microsoft Power BI Q&A · recommended 1×
  5. Sisense · recommended 1×
  • CATEGORY QUERY
    How can I generate data visualizations and insights using natural language queries?
    you: not recommended
    AI recommended (in order):
    1. Tableau Ask Data / Tableau Pulse
    2. Microsoft Power BI Q&A
    3. ThoughtSpot
    4. Sisense
    5. Looker (now Google Cloud Looker Studio)
    6. Qlik Sense
    7. Narrative Science (Quill Engage/Quill for BI)

    AI recommended 7 alternatives but never named antvis/AVA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps automate data analysis and chart generation with AI recommendations?
    you: not recommended
    AI recommended (in order):
    1. Tableau CRM (formerly Einstein Analytics)
    2. Microsoft Power BI
    3. Azure Synapse Analytics
    4. Azure Machine Learning
    5. ThoughtSpot
    6. Qlik Sense
    7. Qlik AutoML
    8. Databricks Lakehouse Platform
    9. MLflow
    10. Databricks SQL
    11. Google Looker
    12. Google Cloud AI/ML services
    13. BigQuery ML
    14. Vertex AI
    15. Domo

    AI recommended 15 alternatives but never named antvis/AVA. 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 antvis/AVA?
    pass
    AI named antvis/AVA explicitly

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

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

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

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