RRepoGEO

REPOGEO REPORT · LITE

RevylAI/greenlight

Default branch main · commit 327f381e · scanned 5/19/2026, 3:13:15 AM

GitHub: 1,397 stars · 84 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 RevylAI/greenlight, 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 H1 tagline to emphasize static analysis

    Why:

    CURRENT
    **Know before you submit.** Pre-submission compliance scanner for the Apple App Store.
    COPY-PASTE FIX
    **Know before you submit.** Pre-submission static analysis and compliance scanner for the Apple App Store.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://revyl.ai

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 RevylAI/greenlight
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
App Store Connect
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. App Store Connect · recommended 1×
  2. Xcode's Static Analyzer · recommended 1×
  3. SwiftLint · recommended 1×
  4. OWASP Mobile Security Testing Guide (MSTG) · recommended 1×
  5. Mobile App Security Verification Standard (MASVS) · recommended 1×
  • CATEGORY QUERY
    How to proactively scan my iOS app for Apple App Store guideline violations?
    you: not recommended
    AI recommended (in order):
    1. App Store Connect
    2. Xcode's Static Analyzer
    3. SwiftLint
    4. OWASP Mobile Security Testing Guide (MSTG)
    5. Mobile App Security Verification Standard (MASVS)
    6. PrivacyReport
    7. Checkmarx CxSAST
    8. Veracode
    9. SonarQube

    AI recommended 9 alternatives but never named RevylAI/greenlight. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help identify App Store rejection risks in my app's source code and binary?
    you: not recommended
    AI recommended (in order):
    1. Xcode's Built-in Static Analyzer
    2. SwiftLint (realm/SwiftLint)
    3. Infer (facebook/infer)
    4. OWASP Mobile Security Testing Guide (MSTG) & Mobile AppSec Verification Standard (MASVS)
    5. MobSF (Mobile Security Framework) (MobSF/Mobile-Security-Framework-MobSF)
    6. App Store Connect Validation (Xcode)
    7. Fastlane (fastlane/fastlane)

    AI recommended 7 alternatives but never named RevylAI/greenlight. 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 RevylAI/greenlight?
    pass
    AI named RevylAI/greenlight explicitly

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

  • If a team adopts RevylAI/greenlight in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RevylAI/greenlight 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 RevylAI/greenlight solve, and who is the primary audience?
    pass
    AI named RevylAI/greenlight 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 RevylAI/greenlight. 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)
[![RepoGEO](https://repogeo.com/badge/RevylAI/greenlight.svg)](https://repogeo.com/en/r/RevylAI/greenlight)
HTML
<a href="https://repogeo.com/en/r/RevylAI/greenlight"><img src="https://repogeo.com/badge/RevylAI/greenlight.svg" alt="RepoGEO" /></a>
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RevylAI/greenlight — 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