RRepoGEO

REPOGEO REPORT · LITE

landing-ai/vision-agent

Default branch main · commit 545651c8 · scanned 5/28/2026, 11:38:30 AM

GitHub: 5,291 stars · 598 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 landing-ai/vision-agent, 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
    Add a deprecation notice to the top of the README

    Why:

    COPY-PASTE FIX
    Add this line at the very top of the README: "⚠️ **DEPRECATED**: This tool has been deprecated. Please use [Agentic Document Extraction](https://landing.ai/agentic-document-extraction) instead."
  • mediumhomepage#2
    Set the 'Homepage' URL to the successor project

    Why:

    COPY-PASTE FIX
    https://landing.ai/agentic-document-extraction

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 landing-ai/vision-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Google Gemini Advanced · recommended 1×
  3. Microsoft Copilot · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Roboflow · recommended 1×
  • CATEGORY QUERY
    How can I quickly generate vision AI application code from a natural language prompt?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Google Gemini Advanced
    3. Microsoft Copilot
    4. Hugging Face Transformers
    5. Roboflow
    6. Lobe
    7. Google Cloud Vertex AI
    8. Azure Machine Learning

    AI recommended 8 alternatives but never named landing-ai/vision-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate vision model selection and code generation for complex visual reasoning?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AutoML Vision
    2. Microsoft Azure Custom Vision
    3. H2O.ai Driverless AI
    4. PyTorch Lightning
    5. Hydra
    6. MLFlow
    7. Keras Tuner
    8. AutoKeras
    9. OpenVINO Toolkit

    AI recommended 9 alternatives but never named landing-ai/vision-agent. 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 landing-ai/vision-agent?
    pass
    AI named landing-ai/vision-agent explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite