RRepoGEO

REPOGEO REPORT · LITE

tylerprogramming/ai

Default branch main · commit be6acf8c · scanned 5/8/2026, 8:02:37 PM

GitHub: 1,101 stars · 299 forks

AI VISIBILITY SCORE
22 /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
1 / 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 tylerprogramming/ai, 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 the README H1 and opening paragraph to specify category

    Why:

    CURRENT
    # **RepositoryAI Projects/Learning
### This repo will be helpful in understanding AutoGen providing examples including prompts and agents for SAAS products, how AutoGen works, and diving into the functionality.
    COPY-PASTE FIX
    # AutoGen & Multi-Agent LLM Tutorials: Practical Examples for Local LLMs & SaaS
### This repository provides practical examples, tutorials, and projects for building multi-agent AI applications, with a focus on AutoGen and integrating local Large Language Models (LLMs) like those supported by LM Studio. Learn how AutoGen works, explore agent prompts for SaaS products, and dive into function calling with local LLMs.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with the full text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    ai, autogen, lmstudio
    COPY-PASTE FIX
    ai, autogen, lmstudio, multi-agent-systems, llm, local-llm, tutorials, examples, function-calling, agent-development, python

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 tylerprogramming/ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mesa
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mesa · recommended 1×
  2. PettingZoo · recommended 1×
  3. RLlib · recommended 1×
  4. Stable Baselines3 · recommended 1×
  5. NetLogo · recommended 1×
  • CATEGORY QUERY
    How can I learn to build multi-agent AI applications with practical examples and tutorials?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. PettingZoo
    3. RLlib
    4. Stable Baselines3
    5. NetLogo
    6. Gymnasium
    7. OpenSpiel

    AI recommended 7 alternatives but never named tylerprogramming/ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks support local large language models for AI agent development, especially with function calling?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. AutoGen
    5. Open Interpreter

    AI recommended 5 alternatives but never named tylerprogramming/ai. 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 tylerprogramming/ai?
    pass
    AI did not name tylerprogramming/ai — 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 tylerprogramming/ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tylerprogramming/ai 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 tylerprogramming/ai solve, and who is the primary audience?
    pass
    AI did not name tylerprogramming/ai — 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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tylerprogramming/ai — 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