RRepoGEO

REPOGEO REPORT · LITE

showlab/videollm-online

Default branch main · commit 3da63221 · scanned 6/10/2026, 8:37:39 AM

GitHub: 669 stars · 74 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 showlab/videollm-online, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    video-llm, streaming-video, large-language-models, real-time-ai, cvpr-2024, multimodal-llm, video-understanding, low-latency-ai
  • highreadme#2
    Reposition the core value proposition in the README

    Why:

    CURRENT
    The current README structure places the core value proposition ('TLDR') under a subheading, after links and updates.
    COPY-PASTE FIX
    Add the following text immediately after the main title `## VideoLLM-online: Online Video Large Language Model for Streaming Video`:

`This repository presents the official implementation of **VideoLLM-online**, the first streaming video LLM designed for high-speed, real-time understanding of long-form videos (e.g., 10 minutes) with state-of-the-art performance in both online and offline settings. It achieves speeds of 5-10 FPS on NVIDIA 3090 GPU and 10-15 FPS on A100 GPU.`
  • mediumhomepage#3
    Add the project homepage to the repository's About section

    Why:

    COPY-PASTE FIX
    https://showlab.github.io/videollm-online/

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 showlab/videollm-online
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GStreamer
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GStreamer · recommended 1×
  2. FFmpeg · recommended 1×
  3. NVIDIA DeepStream SDK · recommended 1×
  4. TensorFlow Serving · recommended 1×
  5. NVIDIA Triton Inference Server · recommended 1×
  • CATEGORY QUERY
    How can I build a real-time AI assistant that understands live video streams?
    you: not recommended
    AI recommended (in order):
    1. GStreamer
    2. FFmpeg
    3. NVIDIA DeepStream SDK
    4. TensorFlow Serving
    5. NVIDIA Triton Inference Server
    6. PyTorch
    7. TensorFlow
    8. Keras
    9. OpenCV
    10. Kubernetes
    11. AWS SageMaker
    12. Google Cloud AI Platform
    13. Azure Machine Learning

    AI recommended 13 alternatives but never named showlab/videollm-online. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a fast video large language model for continuous, long-form video analysis and interaction.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4o
    3. Meta Llama 3
    4. Microsoft Copilot
    5. Perceive.io
    6. Video-LLaMA
    7. Video-ChatGPT

    AI recommended 7 alternatives but never named showlab/videollm-online. 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 showlab/videollm-online?
    pass
    AI named showlab/videollm-online explicitly

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

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

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showlab/videollm-online — 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