RRepoGEO

REPOGEO REPORT · LITE

run-llama/llama-lab

Default branch main · commit 3364c9ea · scanned 5/22/2026, 1:02:50 AM

GitHub: 1,516 stars · 174 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
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 run-llama/llama-lab, 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 to the repository

    Why:

    COPY-PASTE FIX
    A collection of experimental, cutting-edge applications and projects built with LlamaIndex, focusing on autonomous AI agents and LLM data augmentation.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, llamaindex, ai-agents, autonomous-ai, rag, data-augmentation, experimental-projects, babyagi, autogpt, llm-applications
  • highlicense#3
    Create a LICENSE file and mention it in the README

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file (e.g., `LICENSE.md`) in the repository root with a standard open-source license (e.g., MIT, Apache-2.0). Add a line to the README, perhaps under 'Contributing' or a new 'License' section, stating: 'This project is licensed under the [Chosen License Name] - see the LICENSE file for details.'

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 run-llama/llama-lab
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. Haystack · recommended 2×
  4. Auto-GPT · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How can I create an autonomous AI agent to manage and complete user-specified tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Auto-GPT
    4. CrewAI
    5. OpenAI Assistants API
    6. Haystack
    7. Microsoft Semantic Kernel

    AI recommended 7 alternatives but never named run-llama/llama-lab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for libraries to index and augment large language models with custom knowledge bases.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Faiss
    5. Weaviate
    6. Pinecone
    7. Chroma

    AI recommended 7 alternatives but never named run-llama/llama-lab. 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 run-llama/llama-lab?
    pass
    AI named run-llama/llama-lab explicitly

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

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

Embed your GEO score

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run-llama/llama-lab — 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