RRepoGEO

REPOGEO REPORT · LITE

huggingface/aisheets

Default branch main · commit cadf5cdb · scanned 5/24/2026, 8:58:17 AM

GitHub: 1,635 stars · 141 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 huggingface/aisheets, 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 the README H1 subtitle to emphasize core identity

    Why:

    CURRENT
    *Build, enrich, and transform datasets using AI models with no code. Deploy locally or on the Hub with access to thousands of open models.*
    COPY-PASTE FIX
    *An open-source, no-code spreadsheet for building, enriching, and transforming datasets with AI models. Deploy locally or on the Hub with access to thousands of open models.*
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai, llm-evaluation, llms, nocode, oss, synthetic-data
    COPY-PASTE FIX
    ai, llm-evaluation, llms, nocode, oss, synthetic-data, spreadsheet, ai-spreadsheet, data-transformation
  • mediumreadme#3
    Add a 'Why AI Sheets?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why AI Sheets?
Unlike traditional enterprise data platforms (e.g., Trifacta, DataRobot) or generic AI APIs, AI Sheets provides a familiar spreadsheet interface for powerful AI data operations. It's fully open-source, runs locally, and leverages the vast Hugging Face ecosystem, offering more flexibility and privacy than cloud-locked solutions or simple spreadsheet add-ons.

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 huggingface/aisheets
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Trifacta Data Engineering Cloud
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Trifacta Data Engineering Cloud · recommended 1×
  2. DataRobot · recommended 1×
  3. Google Cloud Dataflow · recommended 1×
  4. Microsoft Azure Data Factory · recommended 1×
  5. Alteryx Designer · recommended 1×
  • CATEGORY QUERY
    How can I easily transform and enrich datasets using AI models without writing code?
    you: not recommended
    AI recommended (in order):
    1. Trifacta Data Engineering Cloud
    2. DataRobot
    3. Google Cloud Dataflow
    4. Microsoft Azure Data Factory
    5. Alteryx Designer
    6. RapidMiner Studio

    AI recommended 6 alternatives but never named huggingface/aisheets. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tool helps generate synthetic data and evaluate LLMs from existing datasets?
    you: not recommended
    AI recommended (in order):
    1. Gretel Synthetics
    2. SynthAI
    3. Faker
    4. SDV
    5. OpenAI Evals
    6. LangChain
    7. Ragas

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

    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 huggingface/aisheets. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/huggingface/aisheets.svg)](https://repogeo.com/en/r/huggingface/aisheets)
HTML
<a href="https://repogeo.com/en/r/huggingface/aisheets"><img src="https://repogeo.com/badge/huggingface/aisheets.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

huggingface/aisheets — 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