RRepoGEO

REPOGEO REPORT · LITE

ByteDance-Seed/Seed-Thinking-v1.5

Default branch main · commit 7faa16ca · scanned 6/15/2026, 6:42:28 PM

GitHub: 812 stars · 18 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 ByteDance-Seed/Seed-Thinking-v1.5, 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
  • highabout#1
    Clarify repo's identity as a specific AI model, not a framework

    Why:

    COPY-PASTE FIX
    Add a concise description to the repo's "About" section: "Seed-Thinking-v1.5 is a Mixture-of-Experts (MoE) large language model excelling in advanced reasoning for mathematics, coding, and diverse domains, achieving state-of-the-art performance on benchmarks like AIME, Codeforces, and GPQA."
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the chosen open-source license (e.g., Apache-2.0, MIT, etc.) and add a line to the README stating "This project is licensed under the [License Name] License - see the LICENSE file for details."
  • mediumtopics#3
    Add relevant topics and a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Add the following topics: `large-language-model`, `llm`, `reasoning`, `mixture-of-experts`, `moe`, `ai-model`, `mathematics`, `coding`, `generative-ai`. If a project homepage or associated paper exists, add its URL to the repository's homepage field.

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 ByteDance-Seed/Seed-Thinking-v1.5
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 2×
  2. Claude 3 Opus · recommended 2×
  3. Gemini 1.5 Pro · recommended 2×
  4. Llama 3 · recommended 2×
  5. Mistral Large · recommended 1×
  • CATEGORY QUERY
    What AI models excel at advanced reasoning for mathematics and coding challenges?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. Llama 3
    5. Mistral Large
    6. Code Llama

    AI recommended 6 alternatives but never named ByteDance-Seed/Seed-Thinking-v1.5. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for efficient, generalized AI models with strong reasoning across diverse domains.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. Llama 3
    5. Mixtral 8x7B

    AI recommended 5 alternatives but never named ByteDance-Seed/Seed-Thinking-v1.5. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 ByteDance-Seed/Seed-Thinking-v1.5?
    pass
    AI named ByteDance-Seed/Seed-Thinking-v1.5 explicitly

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

  • If a team adopts ByteDance-Seed/Seed-Thinking-v1.5 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ByteDance-Seed/Seed-Thinking-v1.5 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 ByteDance-Seed/Seed-Thinking-v1.5 solve, and who is the primary audience?
    pass
    AI named ByteDance-Seed/Seed-Thinking-v1.5 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 ByteDance-Seed/Seed-Thinking-v1.5. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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ByteDance-Seed/Seed-Thinking-v1.5 — 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