RRepoGEO

REPOGEO REPORT · LITE

khromov/ai-digest

Default branch main · commit 3d5ac29c · scanned 6/15/2026, 8:28:21 AM

GitHub: 677 stars · 60 forks

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 khromov/ai-digest, 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
  • highreadme#1
    Clarify README's opening sentence to emphasize codebase aggregation for LLMs

    Why:

    CURRENT
    # ai-digest

A CLI tool to aggregate your codebase into a single Markdown file for use with Claude Projects or custom ChatGPTs.
    COPY-PASTE FIX
    # ai-digest

A CLI tool specifically designed to aggregate your entire codebase into a single, AI-ready Markdown file, optimized for use with Claude Projects, custom ChatGPTs, and other large language models for comprehensive code analysis.
  • mediumreadme#2
    Add a 'What problem does ai-digest solve?' section to counter AI misinterpretations

    Why:

    COPY-PASTE FIX
    ## What problem does ai-digest solve?

Many AI assistants and large language models (LLMs) struggle to process an entire codebase effectively, especially when spread across many files. `ai-digest` solves this by consolidating your project's source code into a single, well-structured Markdown file. This makes it easy to upload your complete codebase to tools like Claude Projects or custom ChatGPTs, enabling comprehensive code analysis, refactoring, and debugging assistance without context window limitations or file upload hassles. This tool is *not* for summarizing AI news or articles; it's purely focused on preparing your *codebase* for AI.

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 khromov/ai-digest
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub · recommended 1×
  2. GitLab · recommended 1×
  3. Bitbucket · recommended 1×
  4. Google Drive · recommended 1×
  5. Dropbox · recommended 1×
  • CATEGORY QUERY
    How to prepare my entire project's source code for an AI assistant?
    you: not recommended
    AI recommended (in order):
    1. GitHub
    2. GitLab
    3. Bitbucket
    4. Google Drive
    5. Dropbox
    6. OneDrive
    7. GitHub Gist
    8. Pastebin

    AI recommended 8 alternatives but never named khromov/ai-digest. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good way to consolidate code into a single document for large language models?
    you: not recommended
    AI recommended (in order):
    1. ast
    2. recast
    3. babel
    4. JavaParser
    5. tree-sitter
    6. python-tree-sitter
    7. node-tree-sitter
    8. cat
    9. find
    10. grep
    11. CodeMirror
    12. Monaco Editor
    13. Sourcery
    14. Pygments
    15. Black
    16. Prettier
    17. ESLint

    AI recommended 17 alternatives but never named khromov/ai-digest. 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 khromov/ai-digest?
    pass
    AI named khromov/ai-digest explicitly

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

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

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

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khromov/ai-digest — 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