RRepoGEO

REPOGEO REPORT · LITE

ninehills/blog

Default branch gh-pages · commit b373762d · scanned 5/18/2026, 10:53:08 PM

GitHub: 2,641 stars · 229 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
35 /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
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 ninehills/blog, 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
  • highabout#1
    Add a concise repository description

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    A personal tech blog focusing on deep learning, large language models (LLM), AI development, and related technical insights.
  • hightopics#2
    Expand repository topics to reflect content

    Why:

    CURRENT
    hugo
    COPY-PASTE FIX
    blog, ai, deep-learning, llm, machine-learning, tech-blog, generative-ai, hugo
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of a suitable open-source license (e.g., MIT or Apache-2.0) to clarify usage terms.

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 ninehills/blog
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
jupyter/jupyter-book
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. jupyter/jupyter-book · recommended 1×
  2. quarto-dev/quarto-cli · recommended 1×
  3. sphinx-doc/sphinx · recommended 1×
  4. mkdocs/mkdocs · recommended 1×
  5. gohugoio/hugo · recommended 1×
  • CATEGORY QUERY
    What are good static site generators for publishing deep learning and AI research?
    you: not recommended
    AI recommended (in order):
    1. Jupyter Book (jupyter/jupyter-book)
    2. Quarto (quarto-dev/quarto-cli)
    3. Sphinx (sphinx-doc/sphinx)
    4. MkDocs (mkdocs/mkdocs)
    5. Hugo (gohugoio/hugo)

    AI recommended 5 alternatives but never named ninehills/blog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a platform to easily share articles about large language models and AI development.
    you: not recommended
    AI recommended (in order):
    1. Medium
    2. Substack
    3. Dev.to
    4. Hashnode
    5. LinkedIn Articles
    6. Ghost

    AI recommended 6 alternatives but never named ninehills/blog. 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 ninehills/blog?
    pass
    AI named ninehills/blog explicitly

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

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

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

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Pro

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ninehills/blog — 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