RRepoGEO

REPOGEO REPORT · LITE

GetStream/Vision-Agents

Default branch main · commit d6de4137 · scanned 6/20/2026, 2:11:34 AM

GitHub: 7,937 stars · 663 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
40 /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
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 GetStream/Vision-Agents, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify Vision Agents as an AI agent *framework* in the README intro

    Why:

    CURRENT
    ### Multi-modal AI agents that watch, listen, and understand video.

Vision Agents give you the building blocks to create intelligent, low-latency video experiences powered by your models, your infrastructure, and your use cases.
    COPY-PASTE FIX
    ### A framework for building multi-modal AI agents that watch, listen, and understand video.

Vision Agents is an open-source framework that provides the building blocks to quickly create intelligent, low-latency video experiences powered by your models, your infrastructure, and your use cases. It abstracts complex real-time video and AI integration, allowing developers to focus on agent logic.
  • mediumcomparison#2
    Add a 'How is Vision Agents different?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., "Vision Agents vs. Low-Level Video Processing" or "Where Vision Agents Fits In". Explain that while tools like DeepStream or GStreamer provide raw video processing, Vision Agents is a higher-level framework designed for building complete multi-modal AI agents, abstracting away much of the real-time video and AI integration complexity.

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 GetStream/Vision-Agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA DeepStream SDK
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA DeepStream SDK · recommended 1×
  2. OpenVINO Toolkit · recommended 1×
  3. TensorRT · recommended 1×
  4. GStreamer · recommended 1×
  5. ONNX Runtime · recommended 1×
  • CATEGORY QUERY
    How to build real-time AI agents that process video streams with ultra-low latency?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA DeepStream SDK
    2. OpenVINO Toolkit
    3. TensorRT
    4. GStreamer
    5. ONNX Runtime
    6. PyTorch
    7. TensorFlow Lite
    8. Azure Percept DK
    9. AWS Panorama Appliance
    10. Edge TPU
    11. Vitis AI

    AI recommended 11 alternatives but never named GetStream/Vision-Agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for developing multi-modal voice and vision AI applications across mobile and web?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform
    2. Vertex AI
    3. Firebase
    4. Vision AI
    5. AutoML Vision
    6. Speech-to-Text
    7. Text-to-Speech
    8. Dialogflow
    9. Firestore
    10. AWS AI/ML Services
    11. Amplify
    12. Amazon Rekognition
    13. Amazon Polly
    14. Amazon Transcribe
    15. Amazon Lex
    16. Amazon SageMaker
    17. Microsoft Azure AI Platform
    18. Azure Cognitive Services
    19. Azure App Service
    20. Azure Static Web Apps
    21. Computer Vision
    22. Face API
    23. Custom Vision
    24. Language Understanding (LUIS)
    25. Azure Machine Learning
    26. Hugging Face Transformers
    27. FastAPI
    28. Flask
    29. React Native
    30. Flutter
    31. CLIP
    32. OpenAI API
    33. Next.js
    34. React
    35. Vercel Functions
    36. AWS Lambda
    37. GPT-4V
    38. DALL-E
    39. Whisper
    40. TensorFlow.js
    41. PyTorch Mobile

    AI recommended 41 alternatives but never named GetStream/Vision-Agents. 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 GetStream/Vision-Agents?
    pass
    AI named GetStream/Vision-Agents explicitly

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

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

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

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GetStream/Vision-Agents — 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