RRepoGEO

REPOGEO REPORT · LITE

abinthomasonline/repo2txt

Default branch master · commit bba6c85c · scanned 6/26/2026, 7:28:02 AM

GitHub: 1,802 stars · 216 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)

3 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 abinthomasonline/repo2txt, 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
  • highlicense#1
    Add a LICENSE file with the MIT license

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root containing the full text of the MIT License.
  • highabout#2
    Enhance the 'About' description to highlight local processing

    Why:

    CURRENT
    Web-based tool converts GitHub repository contents into a single formatted text file
    COPY-PASTE FIX
    A fast, 100% browser-based tool that converts GitHub and local repository contents into a single formatted text file for LLM prompting, with all processing done locally.
  • mediumtopics#3
    Add more specific functional topics

    Why:

    CURRENT
    ai, anthropic, chatgpt, developer-tools, devtools, llm
    COPY-PASTE FIX
    ai, anthropic, chatgpt, developer-tools, devtools, llm, repo-to-text, code-consolidation, local-first, github-utility

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 abinthomasonline/repo2txt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mshumer/repo-to-text
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mshumer/repo-to-text · recommended 1×
  2. mshumer/tree-sitter-repo-parser · recommended 1×
  3. mshumer/gpt-repository-loader · recommended 1×
  4. GitHub Copilot Chat · recommended 1×
  5. Cursor · recommended 1×
  • CATEGORY QUERY
    How can I easily get repository code into a single file for AI model prompting?
    you: not recommended
    AI recommended (in order):
    1. repo-to-text (mshumer/repo-to-text)
    2. tree-sitter-repo-parser (mshumer/tree-sitter-repo-parser)
    3. gpt-repository-loader (mshumer/gpt-repository-loader)
    4. GitHub Copilot Chat
    5. Cursor
    6. Codebase-to-Markdown
    7. Code Concatenator

    AI recommended 7 alternatives but never named abinthomasonline/repo2txt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to consolidate a large GitHub project's code into one text document, respecting gitignore?
    you: not recommended
    AI recommended (in order):
    1. git archive
    2. cloc (AlDanial/cloc)
    3. tree
    4. grep
    5. cat
    6. Python
    7. os.walk
    8. pathlib
    9. pathspec (cpburnz/python-pathspec)
    10. GitHub API

    AI recommended 10 alternatives but never named abinthomasonline/repo2txt. 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 abinthomasonline/repo2txt?
    pass
    AI named abinthomasonline/repo2txt explicitly

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

  • If a team adopts abinthomasonline/repo2txt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named abinthomasonline/repo2txt 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 abinthomasonline/repo2txt solve, and who is the primary audience?
    pass
    AI named abinthomasonline/repo2txt explicitly

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

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abinthomasonline/repo2txt — 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