RRepoGEO

REPOGEO REPORT · LITE

thuml/OpenLTM

Default branch main · commit 0b300509 · scanned 6/12/2026, 11:13:02 AM

GitHub: 549 stars · 57 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 thuml/OpenLTM, 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 to clarify core purpose

    Why:

    CURRENT
    OpenLTM is an open codebase aiming to provide a pipeline to develop and evaluate large time-series models.
    COPY-PASTE FIX
    OpenLTM is an open codebase dedicated to the development, pre-training, and evaluation of **Large Time-Series Models (LTMs)**, also known as **Time Series Foundation Models (TSFMs)**. It provides a comprehensive pipeline for building scalable, pre-trained deep learning models specifically for diverse time series data and tasks, distinct from Large Language Models (LLMs).
  • mediumtopics#2
    Add more specific topics for time series foundation models

    Why:

    CURRENT
    deep-learning, large-model, time-series
    COPY-PASTE FIX
    deep-learning, large-model, time-series, time-series-foundation-models, pre-trained-models, transformer-models-for-time-series
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., a project page, documentation site, or research group page) to the repository's 'About' section.

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 thuml/OpenLTM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. PyTorch Hub · recommended 1×
  3. TensorFlow Hub · recommended 1×
  4. GluonTS · recommended 1×
  5. Keras Applications · recommended 1×
  • CATEGORY QUERY
    Where can I find pre-trained large deep learning models for time series data?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Hub
    3. TensorFlow Hub
    4. GluonTS
    5. Keras Applications

    AI recommended 5 alternatives but never named thuml/OpenLTM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools assist in developing large transformer-based time series models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Forecasting
    3. Darts
    4. gluon-ts
    5. TensorFlow TimeSeries
    6. Nixtla's NeuralForecast

    AI recommended 6 alternatives but never named thuml/OpenLTM. 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 thuml/OpenLTM?
    pass
    AI named thuml/OpenLTM explicitly

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

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

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

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thuml/OpenLTM — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite