RRepoGEO

REPOGEO REPORT · LITE

tylerprogramming/ai

Default branch main · commit be6acf8c · scanned 6/18/2026, 12:19:12 PM

GitHub: 1,111 stars · 301 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
28 /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
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 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
  • highabout#1
    Clarify the repository description to highlight multi-agent AI and local LLMs

    Why:

    CURRENT
    This repository will have different projects using AutoGen and Tutorials
    COPY-PASTE FIX
    Practical projects and tutorials for building multi-agent AI applications, with a focus on AutoGen and local LLMs like those run via LM Studio.
  • highreadme#2
    Reposition the README's opening to emphasize multi-agent AI and local LLMs

    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
    # **Multi-Agent AI Projects & Tutorials (AutoGen & Local LLMs)**
    ### This repository provides practical examples and tutorials for building multi-agent AI applications, with a deep dive into AutoGen and integration with local large language models via tools like LM Studio.
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. For example, to use the MIT License, create a file named `LICENSE` with the content:
    
    ```
    MIT License
    
    Copyright (c) [year] [fullname]
    
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
    ```
    
    (Replace `[year]` and `[fullname]` with appropriate values.)

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
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. CrewAI · recommended 2×
  4. Haystack · recommended 2×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    How to build multi-agent AI applications using local large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. LlamaIndex
    4. CrewAI
    5. Haystack
    6. LiteLLM

    AI recommended 6 alternatives but never named tylerprogramming/ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking practical examples and tutorials for developing AI agents for business applications.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI
    3. Azure OpenAI
    4. Microsoft Semantic Kernel
    5. LlamaIndex
    6. Haystack
    7. Elasticsearch
    8. Pinecone
    9. CrewAI
    10. Anthropic Claude

    AI recommended 10 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 named tylerprogramming/ai explicitly

    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.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite