RRepoGEO

REPOGEO REPORT · LITE

ChatLab/ChatLab

Default branch main · commit ab90e060 · scanned 5/25/2026, 3:06:55 PM

GitHub: 6,487 stars · 1,371 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ChatLab/ChatLab, 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 sentence to clarify product type

    Why:

    CURRENT
    ChatLab is an open-source desktop app for understanding your social conversations.
    COPY-PASTE FIX
    ChatLab is an open-source **desktop application** for private, AI-powered analysis of your personal chat history.
  • mediumtopics#2
    Add more specific topics to reinforce product category

    Why:

    CURRENT
    ai-agent, ai-agents, chat-analyzer, chat-history, data-analysis, data-visualization
    COPY-PASTE FIX
    ai-agent, ai-agents, chat-analyzer, chat-history, data-analysis, data-visualization, desktop-app, personal-data, privacy-focused
  • lowcomparison#3
    Add a 'Comparison' section to differentiate from NLP libraries

    Why:

    COPY-PASTE FIX
    ## How is ChatLab different from NLP libraries like NLTK or spaCy?
ChatLab is a complete desktop application designed for end-users to analyze their personal chat histories with AI. While it may use underlying data processing techniques, it is not a programming library or framework for building NLP models. Instead, it provides a user-friendly interface and pre-built tools for insights, trends, and AI-driven queries on your private data.

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 ChatLab/ChatLab
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
nltk/nltk
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. nltk/nltk · recommended 2×
  2. explosion/spaCy · recommended 2×
  3. huggingface/transformers · recommended 2×
  4. pandas-dev/pandas · recommended 1×
  5. sloria/TextBlob · recommended 1×
  • CATEGORY QUERY
    How can I locally analyze my chat history using AI for insights and trends?
    you: not recommended
    AI recommended (in order):
    1. pandas (pandas-dev/pandas)
    2. NLTK (nltk/nltk)
    3. spaCy (explosion/spaCy)
    4. TextBlob (sloria/TextBlob)
    5. gensim (RaRe-Technologies/gensim)
    6. transformers (huggingface/transformers)
    7. distilbert-base-uncased-finetuned-sst-2-english
    8. cardiffnlp/twitter-roberta-base-sentiment
    9. matplotlib (matplotlib/matplotlib)
    10. seaborn (mwaskom/seaborn)
    11. plotly (plotly/plotly.py)
    12. Obsidian
    13. Text Generator (nhaouari/obsidian-text-generator)
    14. Ollama (ollama/ollama)
    15. LM Studio
    16. Dataview (blacksmithgu/obsidian-dataview)
    17. Natural Language Dates (argenos/nldates-obsidian)
    18. Tasks (obsidian-tasks-group/obsidian-tasks)
    19. Llama 2
    20. Mistral
    21. Gemma
    22. Voyant Tools (sgsinclair/VoyantTools)
    23. AntConc
    24. NVivo

    AI recommended 24 alternatives but never named ChatLab/ChatLab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools provide private, AI-driven analysis of chat data from multiple platforms?
    you: not recommended
    AI recommended (in order):
    1. Rasa (RasaHQ/rasa)
    2. Apache OpenNLP (apache/opennlp)
    3. spaCy (explosion/spaCy)
    4. NLTK (nltk/nltk)
    5. Hugging Face Transformers (huggingface/transformers)
    6. Elastic Stack

    AI recommended 6 alternatives but never named ChatLab/ChatLab. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 ChatLab/ChatLab?
    pass
    AI named ChatLab/ChatLab explicitly

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

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

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite