RRepoGEO

REPOGEO REPORT · LITE

jimmc414/onefilellm

Default branch main · commit 99c51a2c · scanned 5/19/2026, 11:13:37 PM

GitHub: 1,970 stars · 178 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 jimmc414/onefilellm, 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
    Clarify the repo's purpose in the README's opening

    Why:

    CURRENT
    # OneFileLLM

Content Aggregator for LLMs - Aggregate and structure multi-source data into a single XML file for LLM context.
    COPY-PASTE FIX
    # OneFileLLM

OneFileLLM is a **data aggregation and structuring tool for Large Language Models (LLMs)**. It is *not* an LLM itself, nor is it an LLM inference server. Instead, it scrapes and combines content from diverse sources (GitHub, web pages, PDFs, YouTube transcripts, etc.) into a single, structured XML file, optimized for providing context to your LLMs.
  • mediumtopics#2
    Refine repository topics to emphasize data aggregation for LLMs

    Why:

    CURRENT
    arxiv, doi, github, ipynb, llm, papers, pdf, pmid, pull-request, repository, sci-hub, text, tiktoken, youtube-transcript-api
    COPY-PASTE FIX
    arxiv, doi, github, ipynb, llm, papers, pdf, pmid, pull-request, sci-hub, text, tiktoken, youtube-transcript-api, llm-context, data-ingestion, content-scraper, knowledge-base-builder
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the homepage URL in the repository settings to 'https://github.com/jimmc414/onefilellm/' or a dedicated project page if one exists.

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 jimmc414/onefilellm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Pandoc · recommended 1×
  4. os · recommended 1×
  5. glob · recommended 1×
  • CATEGORY QUERY
    How can I combine content from multiple sources into one file for LLM context?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Pandoc
    4. os
    5. glob
    6. json
    7. csv
    8. requests
    9. BeautifulSoup4
    10. PyPDF2
    11. pypdf
    12. Apache Nutch
    13. Apache Tika
    14. fs
    15. cheerio
    16. pdf-parse
    17. mammoth

    AI recommended 17 alternatives but never named jimmc414/onefilellm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the best tool to scrape web pages, PDFs, and GitHub for LLM training data?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Beautiful Soup 4 (crummy/BeautifulSoup)
    3. Requests (psf/requests)
    4. Scrapy (scrapy/scrapy)
    5. Puppeteer (puppeteer/puppeteer)
    6. Apache Tika (apache/tika)
    7. GitHub API
    8. PyPDF2 (mstamy2/PyPDF2)
    9. pdfminer.six (pdfminer/pdfminer.six)
    10. pypdf (pypdf/pypdf)

    AI recommended 10 alternatives but never named jimmc414/onefilellm. 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 jimmc414/onefilellm?
    pass
    AI named jimmc414/onefilellm explicitly

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

  • If a team adopts jimmc414/onefilellm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jimmc414/onefilellm 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 jimmc414/onefilellm solve, and who is the primary audience?
    pass
    AI named jimmc414/onefilellm explicitly

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

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jimmc414/onefilellm — 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