RRepoGEO

REPOGEO REPORT · LITE

drona23/claude-token-efficient

Default branch main · commit 0d30a6db · scanned 6/29/2026, 1:27:55 AM

GitHub: 5,719 stars · 436 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 drona23/claude-token-efficient, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 to clarify it's a prompt engineering technique

    Why:

    CURRENT
    # claude-token-efficient
> One file. Drop it in your project. Keeps responses terse and can reduce total tokens on output-heavy workflows.
    COPY-PASTE FIX
    # claude-token-efficient: Prompt Engineering Rules for Claude AI to Reduce Token Costs
> One file. Drop it in your project. Keeps responses terse and can reduce total tokens on output-heavy workflows.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/drona23/claude-token-efficient

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 drona23/claude-token-efficient
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-3.5 Turbo · recommended 1×
  2. Claude 3 Haiku · recommended 1×
  3. Llama 3 8B Instruct · recommended 1×
  4. Mistral 7B Instruct · recommended 1×
  5. Cohere Summarize API · recommended 1×
  • CATEGORY QUERY
    How can I make my large language model responses more concise and reduce token costs?
    you: not recommended
    AI recommended (in order):
    1. GPT-3.5 Turbo
    2. Claude 3 Haiku
    3. Llama 3 8B Instruct
    4. Mistral 7B Instruct
    5. Cohere Summarize API
    6. Hugging Face Transformers
    7. NLTK
    8. spaCy
    9. OpenAI Fine-tuning API
    10. Hugging Face PEFT

    AI recommended 10 alternatives but never named drona23/claude-token-efficient. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a method to eliminate boilerplate and unnecessary text from AI assistant outputs.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-3.5/GPT-4
    2. Anthropic Claude
    3. Google Gemini Pro
    4. Python's re module
    5. JavaScript's RegExp object
    6. PHP's preg_replace
    7. Python's str.replace()
    8. JavaScript's String.prototype.replace()
    9. Java's String.replace()
    10. OpenAI GPT-4 Turbo/GPT-3.5 Turbo

    AI recommended 10 alternatives but never named drona23/claude-token-efficient. 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 drona23/claude-token-efficient?
    pass
    AI did not name drona23/claude-token-efficient — 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 drona23/claude-token-efficient in production, what risks or prerequisites should they evaluate first?
    pass
    AI named drona23/claude-token-efficient 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 drona23/claude-token-efficient solve, and who is the primary audience?
    pass
    AI named drona23/claude-token-efficient explicitly

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

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drona23/claude-token-efficient — 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
drona23/claude-token-efficient — RepoGEO report