RRepoGEO

REPOGEO REPORT · LITE

lightseekorg/tokenspeed

Default branch main · commit 90d03c57 · scanned 6/28/2026, 3:01:57 AM

GitHub: 1,523 stars · 174 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
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 lightseekorg/tokenspeed, 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
    Strengthen README's opening to clarify core function and competition

    Why:

    CURRENT
    TokenSpeed is a speed-of-light LLM inference engine designed for **agentic workloads**, with TensorRT-LLM-level performance and vLLM-level usability. Our goal is to be the most performant inference engine for production agentic workloads.
    COPY-PASTE FIX
    TokenSpeed is a **production-grade LLM inference engine** designed for **agentic workloads**, delivering **TensorRT-LLM-level performance** and **vLLM-level usability**. It is engineered to be the most performant inference engine for complex, multi-turn agentic AI applications, directly competing with and often outperforming solutions like vLLM, TGI, and TensorRT-LLM.
  • mediumtopics#2
    Expand topics with broader category terms and competitor mentions

    Why:

    CURRENT
    blackwell, deepseek, glm, gpt-oss, kimi, lightseek, llm, minimax, qwen, speed-of-light, tokenspeed, vlm
    COPY-PASTE FIX
    blackwell, deepseek, glm, gpt-oss, kimi, lightseek, llm, minimax, qwen, speed-of-light, tokenspeed, vlm, llm-inference, llm-inference-engine, gpu-inference, tensorrt-llm-alternative, vllm-alternative, agentic-ai, deep-learning-inference
  • mediumreadme#3
    Add textual summary to the 'Performance Comparison' section

    Why:

    CURRENT
    ## Performance Comparison
    </img>
    COPY-PASTE FIX
    ## Performance Comparison
    TokenSpeed is engineered to outperform leading LLM inference solutions such as vLLM, TGI, and TensorRT-LLM, particularly for the unique demands of agentic workloads. Our benchmarks demonstrate significant advantages in throughput and latency. Refer to our blog for detailed performance data and comparisons.

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 lightseekorg/tokenspeed
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
vLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. vLLM · recommended 2×
  2. TGI (Text Generation Inference) by Hugging Face · recommended 2×
  3. DeepSpeed-MII (Microsoft Inference Interface) · recommended 2×
  4. TensorRT-LLM · recommended 1×
  5. OpenVINO · recommended 1×
  • CATEGORY QUERY
    Looking for a high-performance LLM inference engine optimized for production agentic workloads.
    you: not recommended
    AI recommended (in order):
    1. vLLM
    2. TGI (Text Generation Inference) by Hugging Face
    3. TensorRT-LLM
    4. OpenVINO
    5. DeepSpeed-MII (Microsoft Inference Interface)
    6. LiteLLM

    AI recommended 6 alternatives but never named lightseekorg/tokenspeed. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the fastest LLM inference solutions for agentic AI on modern GPU architectures?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA TensorRT-LLM
    2. vLLM
    3. TGI (Text Generation Inference) by Hugging Face
    4. DeepSpeed-MII (Microsoft Inference Interface)
    5. OpenVINO (Intel)
    6. ONNX Runtime

    AI recommended 6 alternatives but never named lightseekorg/tokenspeed. 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 lightseekorg/tokenspeed?
    pass
    AI named lightseekorg/tokenspeed explicitly

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

  • If a team adopts lightseekorg/tokenspeed in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lightseekorg/tokenspeed 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 lightseekorg/tokenspeed solve, and who is the primary audience?
    pass
    AI named lightseekorg/tokenspeed 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 lightseekorg/tokenspeed. 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/lightseekorg/tokenspeed.svg)](https://repogeo.com/en/r/lightseekorg/tokenspeed)
HTML
<a href="https://repogeo.com/en/r/lightseekorg/tokenspeed"><img src="https://repogeo.com/badge/lightseekorg/tokenspeed.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

lightseekorg/tokenspeed — 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