RRepoGEO

REPOGEO REPORT · LITE

sjzar/chatlog

Default branch main · commit 7dad93d7 · scanned 6/21/2026, 10:27:37 AM

GitHub: 9,184 stars · 2,918 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 sjzar/chatlog, 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
    Update repository description to reflect project removal

    Why:

    CURRENT
    chat log tool, easily use your own chat data. 聊天记录工具，轻松使用自己的聊天数据
    COPY-PASTE FIX
    This project has been removed and is no longer available or supported. Please refer to the README for details. 此项目已移除，不再可用或提供支持。详情请参阅 README。
  • mediumreadme#2
    Add license clarification to README's "What This Means For You" section

    Why:

    COPY-PASTE FIX
    请注意，本项目从未提供正式的开源许可协议，对于您可能保留的任何旧版本代码，亦不提供任何许可或保证。

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 sjzar/chatlog
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pandas-dev/pandas
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pandas-dev/pandas · recommended 2×
  2. Chatbase · recommended 1×
  3. logseq/logseq · recommended 1×
  4. Obsidian · recommended 1×
  5. Airtable · recommended 1×
  • CATEGORY QUERY
    How can I efficiently store and analyze my personal chat history?
    you: not recommended
    AI recommended (in order):
    1. Chatbase
    2. Logseq (logseq/logseq)
    3. Obsidian
    4. Airtable
    5. Google Sheets
    6. Microsoft Excel
    7. SQLite
    8. PostgreSQL
    9. Pandas (pandas-dev/pandas)
    10. Matplotlib (matplotlib/matplotlib)
    11. Seaborn (mwaskom/seaborn)

    AI recommended 11 alternatives but never named sjzar/chatlog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help parse and extract insights from various messaging application data?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. Pandas (pandas-dev/pandas)
    3. NLTK (Natural Language Toolkit) (nltk/nltk)
    4. spaCy (explosion/spaCy)
    5. Scikit-learn (scikit-learn/scikit-learn)
    6. R
    7. dplyr (tidyverse/dplyr)
    8. tidytext (dgrtwo/tidytext)
    9. quanteda (quanteda/quanteda)
    10. Tableau Prep Builder
    11. Alteryx Designer
    12. Google Cloud Natural Language API
    13. AWS Comprehend
    14. Azure Cognitive Services Text Analytics
    15. KNIME Analytics Platform
    16. OpenText Magellan
    17. IBM Watson Discovery

    AI recommended 17 alternatives but never named sjzar/chatlog. 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 sjzar/chatlog?
    pass
    AI did not name sjzar/chatlog — 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 sjzar/chatlog in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sjzar/chatlog 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 sjzar/chatlog solve, and who is the primary audience?
    pass
    AI named sjzar/chatlog explicitly

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

Embed your GEO score

Drop this badge into the README of sjzar/chatlog. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/sjzar/chatlog.svg)](https://repogeo.com/en/r/sjzar/chatlog)
HTML
<a href="https://repogeo.com/en/r/sjzar/chatlog"><img src="https://repogeo.com/badge/sjzar/chatlog.svg" alt="RepoGEO" /></a>
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sjzar/chatlog — 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