RRepoGEO

REPOGEO REPORT · LITE

MetaInFLow/Enterprise-ai-scenario-map-skill

Default branch main · commit fa9a73b1 · scanned 6/3/2026, 5:18:15 PM

GitHub: 617 stars · 24 forks

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 MetaInFLow/Enterprise-ai-scenario-map-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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to emphasize 'AI strategy report generator'

    Why:

    CURRENT
    This tool was built for exactly this. It's an AI Agent Skill, that auto-generates a 15-30 page 'AI Scenario Map Report' for any company — from deep research to scenario discovery, from priority ranking to implementation roadmap, all in one go.
    COPY-PASTE FIX
    This tool is an **AI-powered report generator** designed to help enterprises understand and implement AI. It leverages an AI Agent Skill to **automatically create a comprehensive 15-30 page 'AI Scenario Map Report'** for any company, covering deep research, scenario discovery, priority ranking, and implementation roadmaps.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://[YOUR_PROJECT_HOMEPAGE_URL_HERE]

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 MetaInFLow/Enterprise-ai-scenario-map-skill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tableau
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tableau · recommended 2×
  2. Power BI · recommended 2×
  3. IBM Watson Discovery · recommended 1×
  4. Microsoft Azure Machine Learning Studio · recommended 1×
  5. Azure Cognitive Services · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate a report identifying AI application scenarios for my business?
    you: not recommended
    AI recommended (in order):
    1. IBM Watson Discovery
    2. Microsoft Azure Machine Learning Studio
    3. Azure Cognitive Services
    4. Text Analytics
    5. Form Recognizer
    6. Google Cloud AI Platform
    7. Google Cloud Document AI
    8. Google Cloud Natural Language API
    9. DataRobot
    10. Tableau
    11. Power BI
    12. UiPath Process Mining
    13. Celonis

    AI recommended 13 alternatives but never named MetaInFLow/Enterprise-ai-scenario-map-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help enterprises discover and prioritize AI use cases and create adoption roadmaps?
    you: not recommended
    AI recommended (in order):
    1. Gartner AI Hype Cycle
    2. Gartner AI Maturity Model
    3. IBM Garage Methodology
    4. IBM Design Thinking
    5. Microsoft AI Business School
    6. Accenture Applied Intelligence
    7. Miro
    8. Mural
    9. Jira
    10. Azure DevOps
    11. Tableau
    12. Power BI

    AI recommended 12 alternatives but never named MetaInFLow/Enterprise-ai-scenario-map-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
    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 MetaInFLow/Enterprise-ai-scenario-map-skill?
    pass
    AI did not name MetaInFLow/Enterprise-ai-scenario-map-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?

  • If a team adopts MetaInFLow/Enterprise-ai-scenario-map-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MetaInFLow/Enterprise-ai-scenario-map-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 MetaInFLow/Enterprise-ai-scenario-map-skill solve, and who is the primary audience?
    pass
    AI did not name MetaInFLow/Enterprise-ai-scenario-map-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?

Embed your GEO score

Drop this badge into the README of MetaInFLow/Enterprise-ai-scenario-map-skill. 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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MetaInFLow/Enterprise-ai-scenario-map-skill — 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