RRepoGEO

REPOGEO REPORT · LITE

danielgross/LlamaAcademy

Default branch main · commit c8372d57 · scanned 5/21/2026, 4:17:49 AM

GitHub: 1,201 stars · 74 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
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 danielgross/LlamaAcademy, 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
    Update repository description and README H1 to clarify purpose

    Why:

    CURRENT
    Description: 'A school for camelids'
README H1: '# LlamaAcademy: Teaching Llamas How to Code'
    COPY-PASTE FIX
    Description: 'Fine-tune LLMs (Llama, GPTs) to understand and generate code for custom APIs from documentation.'
README H1: '# LlamaAcademy: Fine-tuning LLMs for Custom API Interaction'
  • mediumtopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    Topics: (none)
    COPY-PASTE FIX
    llm-fine-tuning, api-integration, langchain, lora, gpt, api-documentation, code-generation, ai-agents
  • lowhomepage#3
    Add the demo video as the repository homepage

    Why:

    CURRENT
    Homepage: (none)
    COPY-PASTE FIX
    https://user-images.githubusercontent.com/51882888/232329429-c7aadc40-8251-41f3-b4bb-9ac41ac2c6f8.mp4

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 danielgross/LlamaAcademy
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. OpenAI API (Function Calling) · recommended 1×
  4. Mistral AI · recommended 1×
  5. Llama 2 · recommended 1×
  • CATEGORY QUERY
    How can I train a large language model to understand and use my custom API endpoints?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (Function Calling)
    2. LangChain
    3. LlamaIndex
    4. Mistral AI
    5. Llama 2
    6. Falcon

    AI recommended 6 alternatives but never named danielgross/LlamaAcademy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for tools to fine-tune a language model to interact with external APIs from documentation.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Hugging Face Transformers
    5. Haystack

    AI recommended 5 alternatives but never named danielgross/LlamaAcademy. 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 danielgross/LlamaAcademy?
    pass
    AI named danielgross/LlamaAcademy explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of danielgross/LlamaAcademy. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/danielgross/LlamaAcademy.svg)](https://repogeo.com/en/r/danielgross/LlamaAcademy)
HTML
<a href="https://repogeo.com/en/r/danielgross/LlamaAcademy"><img src="https://repogeo.com/badge/danielgross/LlamaAcademy.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

danielgross/LlamaAcademy — 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