RRepoGEO

REPOGEO REPORT · LITE

cookiy-ai/user-research-skill

Default branch main · commit b3cd18c2 · scanned 6/17/2026, 1:51:54 AM

GitHub: 563 stars · 43 forks

AI VISIBILITY SCORE
33 /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
2 / 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 cookiy-ai/user-research-skill, 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
    Reposition the README's introductory paragraph for immediate clarity

    Why:

    CURRENT
    # User Research Skill for AI Agents

**The human layer in the AI stack** — give any AI agent direct access to real human opinions, experiences, and decision-making.
    COPY-PASTE FIX
    # User Research Skill for AI Agents

An AI agent skill that enables any AI platform to **plan, run, and synthesize end-to-end user research** — both qualitative (interviews) and quantitative (surveys) — without leaving the conversation. Give any AI agent direct access to real human opinions, experiences, and decision-making.
  • mediumtopics#2
    Expand topics to include more specific user research and automation keywords

    Why:

    CURRENT
    ai-agent, ai-skill, claude-code, cli, codex, cursor, openclaw, quantitative-research, skill, skills, user-research, ux-research
    COPY-PASTE FIX
    ai-agent, ai-skill, claude-code, cli, codex, cursor, openclaw, quantitative-research, skill, skills, user-research, ux-research, qualitative-research, user-interviews, research-automation, ai-powered-research, survey-automation
  • lowreadme#3
    Add a 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Differentiators
Unlike many tools that focus on analyzing existing user research data or generating questions, Cookiy AI's User Research Skill provides **end-to-end simulation of the user interview process** by an AI agent, from planning and question generation to conducting interviews and synthesizing reports.

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 cookiy-ai/user-research-skill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Dovetail
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Dovetail · recommended 2×
  2. UserTesting · recommended 2×
  3. Qualtrics · recommended 1×
  4. SurveyMonkey · recommended 1×
  5. Typeform · recommended 1×
  • CATEGORY QUERY
    How can AI agents conduct qualitative and quantitative user research studies efficiently?
    you: not recommended
    AI recommended (in order):
    1. Qualtrics
    2. SurveyMonkey
    3. Typeform
    4. Dovetail
    5. ATLAS.ti
    6. NVivo
    7. UserTesting
    8. Hotjar
    9. FullStory
    10. Medallia
    11. Genesys

    AI recommended 11 alternatives but never named cookiy-ai/user-research-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate user research planning, interviews, and report synthesis using AI?
    you: not recommended
    AI recommended (in order):
    1. Dovetail
    2. EnjoyHQ
    3. UserTesting
    4. Grain
    5. Viable
    6. ChatGPT
    7. Otter.ai

    AI recommended 7 alternatives but never named cookiy-ai/user-research-skill. 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 cookiy-ai/user-research-skill?
    pass
    AI named cookiy-ai/user-research-skill explicitly

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

  • If a team adopts cookiy-ai/user-research-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cookiy-ai/user-research-skill 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 cookiy-ai/user-research-skill solve, and who is the primary audience?
    pass
    AI did not name cookiy-ai/user-research-skill — 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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  • Brand-free category queries5 vs 2 in Lite
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