RRepoGEO

REPOGEO REPORT · LITE

run-llama/create-llama

Default branch main · commit 97a7d9bc · scanned 5/31/2026, 11:57:05 AM

GitHub: 1,482 stars · 189 forks

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 run-llama/create-llama, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen README opening to emphasize full-stack LLM app scaffolding

    Why:

    CURRENT
    The easiest way to get started with LlamaIndex is by using `create-llama`. This CLI tool enables you to quickly start building a new LlamaIndex application, with everything set up for you.
    COPY-PASTE FIX
    create-llama is the easiest way to scaffold a full-stack LLM application, providing a quick-start template with LlamaIndex already set up. This CLI tool enables you to rapidly build new AI applications, complete with a chat interface, data integration, and your choice of Next.js or Python FastAPI.
  • mediumabout#2
    Update repository description for clearer positioning

    Why:

    CURRENT
    The easiest way to get started with LlamaIndex
    COPY-PASTE FIX
    Scaffold full-stack LLM applications with LlamaIndex, Next.js, or Python FastAPI.

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/create-llama
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Next.js
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Next.js · recommended 2×
  2. Vercel AI SDK · recommended 2×
  3. OpenAI · recommended 2×
  4. LangChain.js · recommended 2×
  5. LangChain · recommended 2×
  • CATEGORY QUERY
    How to quickly scaffold a full-stack AI application with a chat interface?
    you: not recommended
    AI recommended (in order):
    1. Next.js
    2. Vercel AI SDK
    3. OpenAI
    4. Anthropic
    5. Hugging Face
    6. Streamlit
    7. Gradio
    8. LangChain.js
    9. LangChain
    10. React
    11. Vue
    12. Angular
    13. Node.js
    14. Flask
    15. FastAPI
    16. LlamaIndex
    17. Supabase
    18. Firebase

    AI recommended 18 alternatives but never named run-llama/create-llama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Boilerplate for building RAG or agentic LLM apps using Next.js or Python?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack (deepset)
    4. FastAPI
    5. transformers
    6. sentence-transformers
    7. faiss-cpu
    8. Next.js
    9. Flask
    10. Django
    11. Vercel AI SDK
    12. OpenAI
    13. LangChain.js

    AI recommended 13 alternatives but never named run-llama/create-llama. 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 run-llama/create-llama?
    pass
    AI named run-llama/create-llama 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/create-llama in production, what risks or prerequisites should they evaluate first?
    pass
    AI named run-llama/create-llama 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/create-llama solve, and who is the primary audience?
    pass
    AI did not name run-llama/create-llama — 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

Drop this badge into the README of run-llama/create-llama. 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/run-llama/create-llama.svg)](https://repogeo.com/en/r/run-llama/create-llama)
HTML
<a href="https://repogeo.com/en/r/run-llama/create-llama"><img src="https://repogeo.com/badge/run-llama/create-llama.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

run-llama/create-llama — 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