RRepoGEO

REPOGEO REPORT · LITE

daaain/claude-code-log

Default branch main · commit f4f743df · scanned 6/17/2026, 9:12:02 PM

GitHub: 1,095 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
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 daaain/claude-code-log, 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
    Reposition the README's opening sentence to clarify its niche

    Why:

    CURRENT
    A Python CLI tool that converts Claude Code transcript JSONL files into readable HTML and Markdown formats.
    COPY-PASTE FIX
    A Python CLI tool for AI assistant users, converting Claude Code transcript JSONL files into human-readable HTML and Markdown formats.
  • mediumreadme#2
    Enhance 'Project Overview' to highlight value for AI users

    Why:

    CURRENT
    It's designed to create a readable log of your Claude Code interactions with support for both individual files and entire project hierarchies.
    COPY-PASTE FIX
    It's designed to create a readable log of your Claude Code interactions, helping AI assistant users easily review and manage their code generation history, with support for both individual files and entire project hierarchies.

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 daaain/claude-code-log
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
json
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. json · recommended 2×
  2. jupyter/notebook · recommended 2×
  3. Sublime Text · recommended 2×
  4. Python-Markdown/markdown · recommended 1×
  5. crummy/BeautifulSoup · recommended 1×
  • CATEGORY QUERY
    How to convert AI assistant chat logs into human-readable HTML or Markdown?
    you: not recommended
    AI recommended (in order):
    1. markdown (Python-Markdown/markdown)
    2. BeautifulSoup (crummy/BeautifulSoup)
    3. json
    4. re
    5. Pandoc (jgm/pandoc)
    6. Jupyter Notebook (jupyter/notebook)
    7. Google Colab
    8. VS Code (microsoft/vscode)
    9. Sublime Text
    10. Dillinger (joemccann/dillinger)
    11. StackEdit (stackedit/stackedit)

    AI recommended 11 alternatives but never named daaain/claude-code-log. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for viewing and organizing AI code generation session history from JSONL files?
    you: not recommended
    AI recommended (in order):
    1. VS Code
    2. JSON Viewer
    3. JSONL Viewer
    4. jq (stedolan/jq)
    5. Python
    6. json
    7. pandas (pandas-dev/pandas)
    8. Jupyter Notebook (jupyter/notebook)
    9. JupyterLab (jupyterlab/jupyterlab)
    10. JSONLint.com
    11. Sublime Text
    12. Notepad++
    13. Atom (atom/atom)

    AI recommended 13 alternatives but never named daaain/claude-code-log. 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 daaain/claude-code-log?
    pass
    AI did not name daaain/claude-code-log — 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?

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

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

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daaain/claude-code-log — 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