RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langchain-extract

Default branch main · commit 22b8897a · scanned 6/22/2026, 4:57:07 PM

GitHub: 1,195 stars · 123 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 langchain-ai/langchain-extract, 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
    Reposition the README's main title (H1)

    Why:

    CURRENT
    # 🦜⛏️ LangChain Extract
    COPY-PASTE FIX
    # 🦜⛏️ LangChain Extract (ARCHIVED - Reference Implementation)
  • highabout#2
    Update the 'About' description

    Why:

    CURRENT
    🦜⛏️ Did you say you like data?
    COPY-PASTE FIX
    [ARCHIVED] A reference implementation for building LLM-powered data extraction services with FastAPI and LangChain. Not for production use.
  • mediumtopics#3
    Add 'archived' and 'example' related topics

    Why:

    CURRENT
    extraction, extraction-data, fastapi, langchain, langchain-python, llm, llms
    COPY-PASTE FIX
    extraction, extraction-data, fastapi, langchain, langchain-python, llm, llms, archived, example, reference-implementation

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 langchain-ai/langchain-extract
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Hugging Face Transformers · recommended 1×
  3. FastAPI · recommended 1×
  4. spaCy · recommended 1×
  5. Gradio · recommended 1×
  • CATEGORY QUERY
    How can I build a web service to extract structured information from unstructured text using large language models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. FastAPI
    3. spaCy
    4. LangChain
    5. Gradio
    6. Docker
    7. PostgreSQL

    AI recommended 7 alternatives but never named langchain-ai/langchain-extract. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good reference implementations for an LLM-powered data extraction application using Python?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Instructor
    4. Haystack
    5. OpenAI Python Library
    6. Pydantic

    AI recommended 6 alternatives but never named langchain-ai/langchain-extract. 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 langchain-ai/langchain-extract?
    pass
    AI named langchain-ai/langchain-extract explicitly

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

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

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

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MARKDOWN (README)
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langchain-ai/langchain-extract — 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