RRepoGEO

REPOGEO REPORT · LITE

jimmc414/onefilellm

Default branch main · commit 11f75463 · scanned 7/1/2026, 9:17:51 AM

GitHub: 1,995 stars · 176 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 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
    Reposition README's opening statement for clarity

    Why:

    CURRENT
    Content Aggregator for LLMs - Aggregate and structure multi-source data into a single XML file for LLM context.
    COPY-PASTE FIX
    OneFileLLM: A CLI Tool for LLM Context Aggregation - Scrape and consolidate diverse data sources (repos, papers, videos, docs) into a single, structured file for seamless LLM ingestion.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/jimmc414/onefilellm
  • mediumreadme#3
    Add a 'Why OneFileLLM?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'Why OneFileLLM?', with content like: 'Unlike general data integration platforms (e.g., Apache NiFi, Talend) or low-level scraping libraries (e.g., Beautiful Soup), OneFileLLM is purpose-built as an integrated CLI tool to quickly aggregate diverse content specifically for LLM ingestion, streamlining the process of building rich context without complex setups.'

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
Apache NiFi
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Apache NiFi · recommended 1×
  2. Talend Open Studio for Data Integration · recommended 1×
  3. Pandas · recommended 1×
  4. Apache Spark · recommended 1×
  5. dbt · recommended 1×
  • CATEGORY QUERY
    How can I consolidate diverse data sources into a single file for LLM context?
    you: not recommended
    AI recommended (in order):
    1. Apache NiFi
    2. Talend Open Studio for Data Integration
    3. Pandas
    4. Apache Spark
    5. dbt
    6. Meltano
    7. Microsoft Power Query

    AI recommended 7 alternatives but never named jimmc414/onefilellm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the best way to scrape GitHub repos and academic papers for LLM training?
    you: not recommended
    AI recommended (in order):
    1. GitHub API
    2. ArXiv API
    3. Semantic Scholar API
    4. Python `requests`
    5. Beautiful Soup 4
    6. lxml
    7. `PyGithub`
    8. `pdfminer.six`
    9. `PyPDF2`
    10. Scrapy
    11. Playwright
    12. Selenium
    13. `gitpython`
    14. `wget`
    15. `curl`
    16. Common Crawl

    AI recommended 16 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 did not name jimmc414/onefilellm — 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 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