RRepoGEO

REPOGEO REPORT · LITE

1st1/lat.md

Default branch main · commit bf8d95ca · scanned 5/22/2026, 4:42:09 AM

GitHub: 1,549 stars · 98 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 1st1/lat.md, 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
    Strengthen README's opening statement to prevent miscategorization

    Why:

    CURRENT
    <p align="center">A knowledge graph for your codebase, written in markdown.</p>
    COPY-PASTE FIX
    <p align="center"><strong>lat.md is a knowledge graph for your codebase, written in markdown.</strong> It provides structured context for AI agents and human developers to understand, navigate, and maintain complex codebases, unlike generic documentation tools or static site generators.</p>
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    knowledge-graph, ai-agents, codebase-documentation, markdown, code-intelligence, developer-tools, llm-tools, code-analysis
  • mediumcomparison#3
    Add a 'Comparison' section to clarify differentiation

    Why:

    COPY-PASTE FIX
    ## Comparison to other tools

Unlike static site generators (like MkDocs or Docusaurus), lat.md is not for publishing user-facing documentation; it's an internal knowledge graph for your codebase. While tools like LlamaIndex or LangChain help build AI applications, lat.md focuses specifically on structuring codebase knowledge for *any* AI agent or human developer, acting as a foundational layer rather than an application framework.

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 1st1/lat.md
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Sphinx
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Sphinx · recommended 2×
  2. LlamaIndex · recommended 1×
  3. LangChain · recommended 1×
  4. Faiss · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How to create a structured knowledge base for AI agents to understand codebase context?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Faiss
    4. Weaviate
    5. Pinecone
    6. Git
    7. GitHub
    8. GitLab
    9. Doxygen
    10. Sphinx

    AI recommended 10 alternatives but never named 1st1/lat.md. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to document code architecture with linked markdown files and synchronize with source?
    you: not recommended
    AI recommended (in order):
    1. Docsify
    2. MkDocs
    3. Asciidoctor
    4. Docusaurus
    5. Sphinx
    6. GitBook

    AI recommended 6 alternatives but never named 1st1/lat.md. 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 1st1/lat.md?
    pass
    AI named 1st1/lat.md explicitly

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

  • If a team adopts 1st1/lat.md in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 1st1/lat.md 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 1st1/lat.md solve, and who is the primary audience?
    pass
    AI named 1st1/lat.md explicitly

    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
  • Prioritized action items8 vs 3 in Lite