RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/CL-bench

Default branch main · commit 16bffd1c · scanned 6/8/2026, 10:02:56 AM

GitHub: 556 stars · 29 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 Tencent-Hunyuan/CL-bench, 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
  • hightopics#1
    Add more specific topics to improve category recall

    Why:

    CURRENT
    benchmark, context-learning, language-model
    COPY-PASTE FIX
    benchmark, context-learning, language-model, large-language-models, long-context-window, real-life-tasks, domain-specific-ai, conversational-ai
  • mediumhomepage#2
    Add the official homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://www.clbench.com
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

Please refer to the LICENSE file for the specific licensing terms of this project.

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 Tencent-Hunyuan/CL-bench
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama-2-70B-Chat
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama-2-70B-Chat · recommended 1×
  2. THUDM/LongBench · recommended 1×
  3. Perplexity AI · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    How can I benchmark a large language model's ability to learn from long contexts?
    you: not recommended
    AI recommended (in order):
    1. Llama-2-70B-Chat
    2. LongBench (THUDM/LongBench)
    3. Perplexity AI
    4. LangChain (langchain-ai/langchain)
    5. Haystack (deepset-ai/haystack)
    6. OpenAI Evals (openai/evals)

    AI recommended 6 alternatives but never named Tencent-Hunyuan/CL-bench. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What benchmarks are available for evaluating language models on real-life conversational context learning?
    you: not recommended
    AI recommended (in order):
    1. ConvAI3
    2. DSTC
    3. MultiWOZ
    4. DailyDialog
    5. Persona-Chat
    6. CoQA
    7. QuAC

    AI recommended 7 alternatives but never named Tencent-Hunyuan/CL-bench. 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 Tencent-Hunyuan/CL-bench?
    pass
    AI named Tencent-Hunyuan/CL-bench explicitly

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

  • If a team adopts Tencent-Hunyuan/CL-bench in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tencent-Hunyuan/CL-bench 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 Tencent-Hunyuan/CL-bench solve, and who is the primary audience?
    pass
    AI named Tencent-Hunyuan/CL-bench 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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Tencent-Hunyuan/CL-bench — 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