RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/StepDeepResearch

Default branch main · commit 8f6798f7 · scanned 6/11/2026, 1:22:39 AM

GitHub: 561 stars · 26 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
22 /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
1 / 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/StepDeepResearch, 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
  • highreadme#1
    Reposition the core value proposition to the top of the README

    Why:

    CURRENT
    The current README places the 'Model Summary' under an 'Introduction' section, after news updates.
    COPY-PASTE FIX
    Move the paragraph starting with "**Step-DeepResearch** is a cost-effective, end-to-end deep research agent model..." to immediately follow the main "# Step-DeepResearch" title in the README.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    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/StepDeepResearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ScrapeStorm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ScrapeStorm · recommended 1×
  2. Octoparse · recommended 1×
  3. crummy/BeautifulSoup4 · recommended 1×
  4. Power BI · recommended 1×
  5. Tableau · recommended 1×
  • CATEGORY QUERY
    How can I automate information gathering and generate professional research reports efficiently?
    you: not recommended
    AI recommended (in order):
    1. ScrapeStorm
    2. Octoparse
    3. Beautiful Soup (crummy/BeautifulSoup4)
    4. Power BI
    5. Tableau
    6. Google Data Studio (Looker Studio)
    7. ChatGPT
    8. Claude

    AI recommended 8 alternatives but never named stepfun-ai/StepDeepResearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI agent models are available for deep information exploration and summarizing complex topics?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Perplexity AI
    4. Gemini 1.5 Pro
    5. Llama 3 (meta-llama/llama3)
    6. Mistral Large

    AI recommended 6 alternatives but never named stepfun-ai/StepDeepResearch. 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/StepDeepResearch?
    pass
    AI did not name stepfun-ai/StepDeepResearch — likely talking about a different project

    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/StepDeepResearch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/StepDeepResearch 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/StepDeepResearch solve, and who is the primary audience?
    pass
    AI did not name stepfun-ai/StepDeepResearch — likely talking about a different project

    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/StepDeepResearch — 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