RRepoGEO

REPOGEO REPORT · LITE

salesforce/CodeTF

Default branch main · commit 7ef02285 · scanned 5/28/2026, 3:31:28 AM

GitHub: 1,479 stars · 96 forks

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 salesforce/CodeTF, 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
    Add a 'Why CodeTF?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why CodeTF for Code LLMs?
While general-purpose libraries like Hugging Face Transformers provide excellent foundations, CodeTF is specifically engineered for the unique challenges of code intelligence. We offer specialized models, datasets, and evaluation benchmarks tailored for code, providing a streamlined experience for researchers and developers working with Code LLMs.
  • highhomepage#2
    Add the project homepage URL to the 'About' section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://opensource.salesforce.com/CodeTF/
  • mediumabout#3
    Expand the 'About' description to highlight comprehensive features

    Why:

    CURRENT
    CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
    COPY-PASTE FIX
    CodeTF: A comprehensive, one-stop transformer library for state-of-the-art Code LLMs, covering training, evaluation, and code intelligence tasks including multilingual parsing.

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 salesforce/CodeTF
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. PyTorch-Lightning · recommended 1×
  3. TensorFlow · recommended 1×
  4. Keras · recommended 1×
  5. DeepSpeed · recommended 1×
  • CATEGORY QUERY
    Seeking a comprehensive library for building and fine-tuning transformer models for code intelligence tasks.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch-Lightning
    3. TensorFlow
    4. Keras
    5. DeepSpeed
    6. fairseq

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

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for multilingual code parsing and abstract syntax tree manipulation for AI?
    you: not recommended
    AI recommended (in order):
    1. Tree-sitter
    2. ANTLR
    3. LSP (Language Server Protocol)
    4. pygls
    5. lsp-types
    6. Sourcegraph's scip
    7. lsif
    8. libclang
    9. clang.cindex
    10. Go/ast
    11. go/types
    12. go/analysis
    13. go/printer
    14. Roslyn

    AI recommended 14 alternatives but never named salesforce/CodeTF. 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 salesforce/CodeTF?
    pass
    AI named salesforce/CodeTF explicitly

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

  • If a team adopts salesforce/CodeTF in production, what risks or prerequisites should they evaluate first?
    pass
    AI named salesforce/CodeTF 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 salesforce/CodeTF solve, and who is the primary audience?
    pass
    AI named salesforce/CodeTF 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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MARKDOWN (README)
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salesforce/CodeTF — 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