RRepoGEO

REPOGEO REPORT · LITE

LearningCircuit/local-deep-research

Default branch main · commit f8169fb9 · scanned 5/8/2026, 4:26:21 AM

GitHub: 6,370 stars · 555 forks

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 LearningCircuit/local-deep-research, 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
  • highreadme#1
    Reposition the README's opening statement for clarity and impact

    Why:

    CURRENT
    **AI-powered research assistant for deep, agentic researchPerforms deep, agentic research using multiple LLMs and search engines with proper citations***
    COPY-PASTE FIX
    Local Deep Research is a self-hosted, private, and agentic AI research assistant. It performs deep research using multiple local and cloud LLMs, 10+ search engines (arXiv, PubMed, private documents), and ensures everything remains local and encrypted.
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/LearningCircuit/local-deep-research
  • mediumtopics#3
    Add 'agentic' and 'private' to the repository topics

    Why:

    CURRENT
    academia, anthropic, arxiv, brave, deep-research, encryption, home-automation, homeserver, local, local-deep-research, local-llm, mistral, ollama, openai, pubmed, research, research-tool, retrieval-augmented-generation, searxng, self-hosted
    COPY-PASTE FIX
    academia, agentic, anthropic, arxiv, brave, deep-research, encryption, home-automation, homeserver, local, local-deep-research, local-llm, mistral, ollama, openai, private, pubmed, research, research-tool, retrieval-augmented-generation, searxng, self-hosted

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 LearningCircuit/local-deep-research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LocalGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LocalGPT · recommended 1×
  2. PrivateGPT · recommended 1×
  3. LlamaIndex · recommended 1×
  4. deepset/Haystack · recommended 1×
  5. Ollama · recommended 1×
  • CATEGORY QUERY
    What's a good self-hosted tool for deep research using local LLMs and private documents?
    you: not recommended
    AI recommended (in order):
    1. LocalGPT
    2. PrivateGPT
    3. LlamaIndex
    4. Haystack (deepset/Haystack)
    5. Ollama
    6. LangChain

    AI recommended 6 alternatives but never named LearningCircuit/local-deep-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build a secure RAG system for academic research across diverse private and public sources?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. Azure AI Search
    3. Azure Data Lake Storage Gen2
    4. Azure Key Vault
    5. Azure Private Link
    6. AWS Bedrock
    7. Amazon Kendra
    8. Amazon S3
    9. AWS Secrets Manager
    10. AWS PrivateLink
    11. Google Cloud Vertex AI
    12. Google Cloud Search
    13. Google Cloud Storage
    14. Google Secret Manager
    15. Google Cloud VPC Service Controls
    16. Hugging Face Transformers (huggingface/transformers)
    17. Elasticsearch (elastic/elasticsearch)
    18. OpenSearch (opensearch-project/OpenSearch)
    19. MinIO (minio/minio)
    20. Ceph (ceph/ceph)
    21. HashiCorp Vault (hashicorp/vault)
    22. LangChain (langchain-ai/langchain)
    23. LlamaIndex (run-llama/llama_index)
    24. PostgreSQL (postgres/postgres)

    AI recommended 24 alternatives but never named LearningCircuit/local-deep-research. 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 LearningCircuit/local-deep-research?
    pass
    AI did not name LearningCircuit/local-deep-research — 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 LearningCircuit/local-deep-research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LearningCircuit/local-deep-research 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 LearningCircuit/local-deep-research solve, and who is the primary audience?
    pass
    AI did not name LearningCircuit/local-deep-research — 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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  • Brand-free category queries5 vs 2 in Lite
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