RRepoGEO

REPOGEO REPORT · LITE

rohitg00/awesome-ai-apps

Default branch main · commit 28d77aff · scanned 6/10/2026, 10:58:05 AM

GitHub: 781 stars · 168 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
33 /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
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 rohitg00/awesome-ai-apps, 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 it's a curated *list* of applications, not a framework

    Why:

    CURRENT
    A curated collection of **practical AI agents** and generative AI applications built with diverse tech stacks, demonstrating real-world implementations using OpenAI, Gemini, local models, and various AI frameworks.
    COPY-PASTE FIX
    This is an **awesome list** – a curated collection of **practical AI agents** and generative AI applications built with diverse tech stacks, demonstrating real-world implementations using OpenAI, Gemini, local models, and various AI frameworks. It is *not* a framework or library itself, but a resource to discover complete, runnable AI applications.
  • mediumtopics#2
    Add 'awesome-list' and 'curated-collection' to topics

    Why:

    CURRENT
    agents, ai, apps, automation, framework, genai, genai-apps, llm, llm-apps, llms
    COPY-PASTE FIX
    agents, ai, apps, automation, framework, genai, genai-apps, llm, llm-apps, llms, awesome-list, curated-collection
  • mediumabout#3
    Clarify the repository's nature as a curated list in the description

    Why:

    CURRENT
    A curated collection of awesome AI Agents and LLM Apps built with multiple tech stacks, showcasing real-world implementations using OpenAI, Gemini, local models, and various AI frameworks.
    COPY-PASTE FIX
    An awesome list: a curated collection of practical AI Agents and LLM Apps built with diverse tech stacks. Discover real-world implementations using OpenAI, Gemini, local models, and various AI frameworks. This is a resource for runnable AI applications, not a framework.

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 rohitg00/awesome-ai-apps
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Hugging Face Hub · recommended 1×
  3. GitHub Explore/Trending · recommended 1×
  4. Papers With Code · recommended 1×
  5. Kaggle · recommended 1×
  • CATEGORY QUERY
    Where can I find real-world examples of generative AI applications built with various frameworks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. GitHub Explore/Trending
    3. Papers With Code
    4. Kaggle
    5. PyTorch
    6. TensorFlow
    7. JAX
    8. Artbreeder
    9. RunwayML

    AI recommended 9 alternatives but never named rohitg00/awesome-ai-apps. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for open-source reference implementations of multi-agent systems or RAG applications.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. CrewAI
    3. LangChain
    4. MetaGPT
    5. AgentVerse
    6. LangChain
    7. LlamaIndex
    8. Haystack
    9. Hugging Face Transformers
    10. OpenAI Cookbook

    AI recommended 10 alternatives but never named rohitg00/awesome-ai-apps. 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 rohitg00/awesome-ai-apps?
    pass
    AI named rohitg00/awesome-ai-apps explicitly

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

  • If a team adopts rohitg00/awesome-ai-apps in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rohitg00/awesome-ai-apps 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 rohitg00/awesome-ai-apps solve, and who is the primary audience?
    pass
    AI did not name rohitg00/awesome-ai-apps — 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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rohitg00/awesome-ai-apps — 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