RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/Step-3.5-Flash

Default branch main · commit 21d85a5f · scanned 5/19/2026, 8:13:12 PM

GitHub: 2,039 stars · 82 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
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 stepfun-ai/Step-3.5-Flash, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    large-language-model, llm, mixture-of-experts, moe, ai-agent, foundation-model, open-source-llm, agentic-ai
  • lowhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    (Add the official project homepage URL, e.g., https://stepfun.com/)

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 stepfun-ai/Step-3.5-Flash
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mixtral 8x7B
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Mixtral 8x7B · recommended 2×
  2. Llama 3 · recommended 1×
  3. Mistral 7B · recommended 1×
  4. Gemma · recommended 1×
  5. Falcon · recommended 1×
  • CATEGORY QUERY
    Looking for an efficient open-source foundation model for building AI agents.
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B
    3. Mistral 7B
    4. Gemma
    5. Falcon

    AI recommended 5 alternatives but never named stepfun-ai/Step-3.5-Flash. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best performing large language models using Mixture of Experts architecture?
    you: not recommended
    AI recommended (in order):
    1. Mixtral 8x7B
    2. Grok-1
    3. Qwen1.5-MoE
    4. DeepSeek-MoE
    5. Switch Transformers

    AI recommended 5 alternatives but never named stepfun-ai/Step-3.5-Flash. 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 stepfun-ai/Step-3.5-Flash?
    pass
    AI named stepfun-ai/Step-3.5-Flash explicitly

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

  • If a team adopts stepfun-ai/Step-3.5-Flash in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/Step-3.5-Flash 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 stepfun-ai/Step-3.5-Flash solve, and who is the primary audience?
    pass
    AI named stepfun-ai/Step-3.5-Flash explicitly

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

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stepfun-ai/Step-3.5-Flash — 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