RRepoGEO

REPOGEO REPORT · LITE

LearningCircuit/local-deep-research

Default branch main · commit c9644948 · scanned 6/17/2026, 11:46:49 PM

GitHub: 8,493 stars · 743 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
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 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 H1 to specify it's an AI-powered research assistant

    Why:

    CURRENT
    # Local Deep Research
    COPY-PASTE FIX
    # Local Deep Research: Your Private, AI-Powered Research Assistant
  • 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
    Refine repository topics to better reflect its core function and remove irrelevant ones

    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
    ai-agent, research-assistant, autonomous-agent, deep-research, local-llm, self-hosted, encryption, retrieval-augmented-generation, academia, arxiv, pubmed, local, research, research-tool, ollama, mistral, openai, anthropic, brave, searxng

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
ollama/ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. imartinez/privateGPT · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How can I leverage local large language models for deep research across academic and private documents?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. PrivateGPT (imartinez/privateGPT)
    4. LlamaIndex (run-llama/llama_index)
    5. LangChain (langchain-ai/langchain)
    6. ChromaDB (chroma-core/chroma)
    7. FAISS (facebook/faiss)
    8. Hugging Face Transformers Library (huggingface/transformers)

    AI recommended 8 alternatives but never named LearningCircuit/local-deep-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What self-hosted research tools offer secure, encrypted analysis of scientific papers and personal data?
    you: not recommended
    AI recommended (in order):
    1. Open Science Framework (OSF) Registries (centerforopenscience/osf.io)
    2. Nextcloud (nextcloud/server)
    3. Collabora Online (CollaboraOnline/CollaboraOnline)
    4. ONLYOFFICE (ONLYOFFICE/DocumentServer)
    5. CryptPad (xwiki-labs/cryptpad)
    6. JupyterHub (jupyterhub/jupyterhub)
    7. GitLab (gitlabhq/gitlabhq)
    8. Git Large File Storage (LFS) (git-lfs/git-lfs)
    9. Seafile (haiwen/seafile)
    10. DocuWare

    AI recommended 10 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 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?

  • 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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LearningCircuit/local-deep-research — 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