RRepoGEO

REPOGEO REPORT · LITE

logan-markewich/llama_index_starter_pack

Default branch main · commit 4d8e4ba4 · scanned 6/10/2026, 5:18:47 PM

GitHub: 631 stars · 186 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
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 logan-markewich/llama_index_starter_pack, 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
  • hightopics#1
    Add relevant topics for discoverability

    Why:

    COPY-PASTE FIX
    llama-index, rag, flask, streamlit, docker, prototype, starter-kit, ai-powered-search, document-qa, llm-apps
  • highreadme#2
    Reposition README's opening sentence

    Why:

    CURRENT
    This repository provides very basic flask, Streamlit, and docker examples for the llama_index package.
    COPY-PASTE FIX
    This repository offers a ready-to-deploy, interactive application template with Flask, Streamlit, and Docker examples for building LlamaIndex-powered RAG (Retrieval Augmented Generation) applications.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/logan-markewich/llama_index_starter_pack

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 logan-markewich/llama_index_starter_pack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. Haystack · recommended 1×
  3. LlamaIndex · recommended 1×
  4. LangChain · recommended 1×
  5. Gradio · recommended 1×
  • CATEGORY QUERY
    How to quickly build a prototype for querying custom text documents?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. LangChain
    4. Gradio
    5. Sentence-BERT
    6. FAISS
    7. Weaviate
    8. Pinecone
    9. Elasticsearch

    AI recommended 9 alternatives but never named logan-markewich/llama_index_starter_pack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a starter kit for building an AI-powered document search web app.
    you: not recommended
    AI recommended (in order):
    1. Haystack (deepset-ai/haystack)
    2. LlamaIndex (run-llama/llama_index)
    3. Streamlit (streamlit/streamlit)
    4. Gradio (gradio-app/gradio)
    5. LangChain (langchain-ai/langchain)
    6. Elasticsearch (elastic/elasticsearch)
    7. OpenSearch (opensearch-project/OpenSearch)
    8. Sentence Transformers (UKPLab/sentence-transformers)
    9. Flask (pallets/flask)
    10. Django (django/django)
    11. Weaviate (weaviate/weaviate)
    12. Pinecone
    13. ChromaDB (chromadb/chroma)
    14. FastAPI (tiangolo/fastapi)
    15. Hugging Face Transformers (huggingface/transformers)
    16. OpenAI API
    17. Hugging Face Inference API

    AI recommended 17 alternatives but never named logan-markewich/llama_index_starter_pack. 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 logan-markewich/llama_index_starter_pack?
    pass
    AI did not name logan-markewich/llama_index_starter_pack — 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 logan-markewich/llama_index_starter_pack in production, what risks or prerequisites should they evaluate first?
    pass
    AI named logan-markewich/llama_index_starter_pack 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 logan-markewich/llama_index_starter_pack solve, and who is the primary audience?
    pass
    AI did not name logan-markewich/llama_index_starter_pack — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite