RRepoGEO

REPOGEO REPORT · LITE

adrianhajdin/project_ai_summarizer

Default branch main · commit 4ab41d6b · scanned 6/6/2026, 4:17:56 PM

GitHub: 527 stars · 143 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 adrianhajdin/project_ai_summarizer, 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
  • highabout#1
    Add a concise description and relevant topics

    Why:

    COPY-PASTE FIX
    Set the repository description to: 'A step-by-step tutorial project for building an AI article summarizer web application using React, Tailwind CSS, and OpenAI API. Ideal for beginners learning full-stack AI web development.' Add the following topics: `ai`, `summarizer`, `react`, `tailwind-css`, `openai`, `javascript`, `web-development`, `tutorial`, `beginner-friendly`, `full-stack`.
  • highlicense#2
    Add a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with the MIT License text.
  • mediumreadme#3
    Clarify README's main heading to emphasize tutorial nature

    Why:

    CURRENT
    <h3 align="center">An AI Article Summarizer Website</h3>
    COPY-PASTE FIX
    <h3 align="center">AI Article Summarizer Website: A Step-by-Step Tutorial</h3>

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 adrianhajdin/project_ai_summarizer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
streamlit/streamlit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. streamlit/streamlit · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. gradio-app/gradio · recommended 1×
  4. pallets/flask · recommended 1×
  5. explosion/spaCy · recommended 1×
  • CATEGORY QUERY
    How can I create a web application that summarizes articles using AI?
    you: not recommended
    AI recommended (in order):
    1. Streamlit (streamlit/streamlit)
    2. Hugging Face Transformers (huggingface/transformers)
    3. Gradio (gradio-app/gradio)
    4. Flask (pallets/flask)
    5. spaCy (explosion/spaCy)
    6. NLTK (nltk/nltk)
    7. OpenAI API
    8. Django (django/django)
    9. TensorFlow (tensorflow/tensorflow)
    10. PyTorch (pytorch/pytorch)
    11. Next.js (vercel/next.js)
    12. FastAPI (tiangolo/fastapi)
    13. Google Cloud AI Platform
    14. AWS SageMaker
    15. Azure Machine Learning

    AI recommended 15 alternatives but never named adrianhajdin/project_ai_summarizer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good beginner projects for building AI-powered web tools with JavaScript?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow.js (tensorflow/tfjs)
    2. MobileNet
    3. ImageNet
    4. React (facebook/react)
    5. Vue.js (vuejs/core)
    6. Google Cloud Natural Language API
    7. Azure Cognitive Services
    8. Svelte (sveltejs/svelte)
    9. Dialogflow Essentials
    10. Microsoft Bot Framework (microsoft/botframework-sdk)
    11. axios (axios/axios)
    12. Angular (angular/angular)
    13. MediaPipe (google/mediapipe)
    14. COCO-SSD

    AI recommended 14 alternatives but never named adrianhajdin/project_ai_summarizer. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 adrianhajdin/project_ai_summarizer?
    pass
    AI did not name adrianhajdin/project_ai_summarizer — 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 adrianhajdin/project_ai_summarizer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named adrianhajdin/project_ai_summarizer 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 adrianhajdin/project_ai_summarizer solve, and who is the primary audience?
    pass
    AI named adrianhajdin/project_ai_summarizer explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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