RRepoGEO

REPOGEO REPORT · LITE

apple/embedding-atlas

Default branch main · commit 23690a02 · scanned 6/5/2026, 10:57:06 AM

GitHub: 4,796 stars · 296 forks

AI VISIBILITY SCORE
33 /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
2 / 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 apple/embedding-atlas, 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 emphasize specialized niche

    Why:

    CURRENT
    Embedding Atlas is a tool that provides interactive visualizations for large embeddings and their metadata. You can visualize, cross-filter, and search across your data.
    COPY-PASTE FIX
    Embedding Atlas is a specialized, interactive web-based tool for visualizing and exploring large-scale machine learning embeddings and their metadata. It provides a performant 3D environment to visualize, cross-filter, and search across millions of data points.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    embedding, visualization
    COPY-PASTE FIX
    embedding, visualization, embedding-visualization, machine-learning, data-exploration, interactive-visualization, webgpu
  • lowreadme#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why Embedding Atlas?
Embedding Atlas is purpose-built for the interactive exploration of large-scale machine learning embeddings, offering a dedicated 3D environment and advanced features beyond general-purpose plotting libraries or data platforms.

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 apple/embedding-atlas
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorBoard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorBoard · recommended 1×
  2. UMAP · recommended 1×
  3. Plotly · recommended 1×
  4. Matplotlib · recommended 1×
  5. Bokeh · recommended 1×
  • CATEGORY QUERY
    How can I interactively visualize and explore large-scale machine learning embeddings effectively?
    you: not recommended
    AI recommended (in order):
    1. TensorBoard
    2. UMAP
    3. Plotly
    4. Matplotlib
    5. Bokeh
    6. OpenAI's Embedding Projector
    7. Faiss
    8. Manifold
    9. DeepView

    AI recommended 9 alternatives but never named apple/embedding-atlas. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help analyze and cross-filter millions of data embeddings with interactive dashboards?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. MLflow
    3. Delta Lake
    4. Apache Superset
    5. Apache Druid
    6. ClickHouse
    7. Tableau
    8. Snowflake
    9. Google BigQuery
    10. Amazon Redshift
    11. Power BI
    12. Azure Synapse Analytics
    13. SQL Server Analysis Services
    14. Looker
    15. Qlik Sense
    16. Dash by Plotly
    17. DuckDB
    18. Polars

    AI recommended 18 alternatives but never named apple/embedding-atlas. 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 apple/embedding-atlas?
    pass
    AI named apple/embedding-atlas explicitly

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

  • If a team adopts apple/embedding-atlas in production, what risks or prerequisites should they evaluate first?
    pass
    AI named apple/embedding-atlas 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 apple/embedding-atlas solve, and who is the primary audience?
    pass
    AI did not name apple/embedding-atlas — 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 apple/embedding-atlas. 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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apple/embedding-atlas — 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