RRepoGEO

REPOGEO REPORT · LITE

junhoyeo/tokscale

Default branch main · commit b4e614d1 · scanned 6/29/2026, 12:38:46 AM

GitHub: 4,008 stars · 268 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 junhoyeo/tokscale, 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 the README's opening statement to clarify unique value

    Why:

    CURRENT
    > A high-performance CLI tool and visualization dashboard for tracking token usage and costs across multiple AI coding agents.
    COPY-PASTE FIX
    > A high-performance CLI tool and visualization dashboard for tracking token usage and costs across multiple AI coding agents. Unlike platform-specific dashboards or low-level tokenizers like `tiktoken`, Tokscale provides a unified, cross-platform solution for comprehensive LLM cost and usage observability.
  • hightopics#2
    Add functional and category-specific topics

    Why:

    CURRENT
    ai, ai-agents, ampcode, claude, claude-code, clawdbot, codex, cursor, cursor-ide, droid, gemini, gemini-cli, gpt, hermes, moltbot, oh, openclaw, opencode, opentui, token-usage
    COPY-PASTE FIX
    ai, ai-agents, ampcode, claude, claude-code, clawdbot, codex, cursor, cursor-ide, droid, gemini, gemini-cli, gpt, hermes, moltbot, oh, openclaw, opencode, opentui, token-usage, api-monitoring, cost-management, developer-tools, cli-tool, data-visualization, llm-ops, ai-observability
  • mediumreadme#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README, for example:
    ```markdown
    ## 💡 Why Tokscale? (vs. Tiktoken, LiteLLM, and Platform Dashboards)
    
    Tokscale provides a unified, cross-platform CLI and visualization dashboard for comprehensive token usage and cost tracking across *multiple* AI coding agents. This differs from low-level tokenizers (like `tiktoken`), API abstraction layers (like `LiteLLM`), or platform-specific dashboards (like OpenAI's), by focusing on holistic observability and cost management.
    ```

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 junhoyeo/tokscale
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/tiktoken
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/tiktoken · recommended 2×
  2. BerriAI/litellm · recommended 2×
  3. OpenAI API Dashboard · recommended 1×
  4. Anthropic Console · recommended 1×
  5. Google Cloud Console · recommended 1×
  • CATEGORY QUERY
    How can I monitor token usage and costs across different AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API Dashboard
    2. Anthropic Console
    3. Google Cloud Console
    4. Azure AI Studio
    5. Azure Cost Management
    6. tiktoken (openai/tiktoken)
    7. Datadog
    8. Splunk
    9. ELK Stack
    10. Langfuse (langfuse/langfuse)
    11. Helicone.ai (helicone/helicone)
    12. LiteLLM (BerriAI/litellm)
    13. GitHub Copilot Dashboard

    AI recommended 13 alternatives but never named junhoyeo/tokscale. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What command-line tools help visualize and track AI agent API token consumption?
    you: not recommended
    AI recommended (in order):
    1. tiktoken (openai/tiktoken)
    2. langchain-cli (langchain-ai/langchain)
    3. LiteLLM (BerriAI/litellm)
    4. curl
    5. jq

    AI recommended 5 alternatives but never named junhoyeo/tokscale. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 junhoyeo/tokscale?
    pass
    AI named junhoyeo/tokscale explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of junhoyeo/tokscale. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/junhoyeo/tokscale.svg)](https://repogeo.com/en/r/junhoyeo/tokscale)
HTML
<a href="https://repogeo.com/en/r/junhoyeo/tokscale"><img src="https://repogeo.com/badge/junhoyeo/tokscale.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

junhoyeo/tokscale — 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