RRepoGEO

REPOGEO REPORT · LITE

HazyResearch/meerkat

Default branch main · commit b08d6061 · scanned 6/9/2026, 6:02:26 AM

GitHub: 849 stars · 43 forks

AI VISIBILITY SCORE
35 /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
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 HazyResearch/meerkat, 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's opening sentence to specify unstructured ML data

    Why:

    CURRENT
    Create interactive views of any dataset.
    COPY-PASTE FIX
    Create interactive views of unstructured machine learning datasets.
  • highhomepage#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    [Insert the URL for Meerkat's main website, e.g., https://meerkat.hazyresearch.stanford.edu]
  • mediumtopics#3
    Add specific topics for unstructured ML data exploration

    Why:

    CURRENT
    data-science, foundation-models, machine-learning, ml, pandas
    COPY-PASTE FIX
    data-science, foundation-models, machine-learning, ml, pandas, unstructured-data, data-visualization, interactive-data-exploration, ml-data-exploration, computer-vision, nlp

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 HazyResearch/meerkat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FiftyOne
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. FiftyOne · recommended 1×
  2. Streamlit · recommended 1×
  3. Panel · recommended 1×
  4. Dash · recommended 1×
  5. Jupyter Widgets · recommended 1×
  • CATEGORY QUERY
    What Python library helps visualize and explore unstructured machine learning datasets interactively?
    you: not recommended
    AI recommended (in order):
    1. FiftyOne
    2. Streamlit
    3. Panel
    4. Dash
    5. Jupyter Widgets
    6. OpenCV-Python
    7. spaCy

    AI recommended 7 alternatives but never named HazyResearch/meerkat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to efficiently explore large ML datasets without data movement or reformatting.
    you: not recommended
    AI recommended (in order):
    1. DuckDB (duckdb/duckdb)
    2. Polars (pola-rs/polars)
    3. PyArrow (apache/arrow)
    4. Dask (dask/dask)
    5. Vaex (vaexio/vaex)
    6. ClickHouse (ClickHouse/ClickHouse)

    AI recommended 6 alternatives but never named HazyResearch/meerkat. 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 HazyResearch/meerkat?
    pass
    AI named HazyResearch/meerkat explicitly

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

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

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

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HazyResearch/meerkat — 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