RRepoGEO

REPOGEO REPORT · LITE

hinterdupfinger/obsidian-ollama

Default branch main · commit 92bf8239 · scanned 6/23/2026, 10:42:35 PM

GitHub: 1,019 stars · 86 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
30 /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
3 / 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 hinterdupfinger/obsidian-ollama, 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
  • highabout#1
    Add a concise About description

    Why:

    COPY-PASTE FIX
    Integrate local Ollama large language models directly into Obsidian for in-note text processing, summarization, and content generation.
  • mediumreadme#2
    Strengthen the README's opening value proposition

    Why:

    CURRENT
    # 🦙 Obsidian Ollama

This is a plugin for Obsidian that allows you to use Ollama within your notes.
    COPY-PASTE FIX
    # 🦙 Obsidian Ollama

Seamlessly integrate local Ollama large language models directly into your Obsidian notes. This plugin empowers you to leverage powerful AI capabilities like summarization, explanation, and rewriting without sending your data to cloud services, all within your personal knowledge base.

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 hinterdupfinger/obsidian-ollama
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. ollama/ollama · recommended 1×
  3. mudler/LocalAI · recommended 1×
  4. ggerganov/llama.cpp · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    I want to leverage local LLMs for text processing directly within my knowledge base.
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. LocalAI (mudler/LocalAI)
    4. Llama.cpp (ggerganov/llama.cpp)
    5. Hugging Face Transformers (huggingface/transformers)
    6. PrivateGPT (imartinez/privateGPT)

    AI recommended 6 alternatives but never named hinterdupfinger/obsidian-ollama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What plugins enable local large language model capabilities for note summarization and expansion?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Text Generator
    3. Smart Connections
    4. Ollama
    5. LM Studio
    6. Logseq
    7. Logseq AI
    8. Joplin
    9. AI Assistant
    10. VS Code
    11. Continue
    12. CodeGPT

    AI recommended 12 alternatives but never named hinterdupfinger/obsidian-ollama. 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 hinterdupfinger/obsidian-ollama?
    pass
    AI named hinterdupfinger/obsidian-ollama explicitly

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

  • If a team adopts hinterdupfinger/obsidian-ollama in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hinterdupfinger/obsidian-ollama 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 hinterdupfinger/obsidian-ollama solve, and who is the primary audience?
    pass
    AI named hinterdupfinger/obsidian-ollama explicitly

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

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hinterdupfinger/obsidian-ollama — 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