RRepoGEO

REPOGEO REPORT · LITE

deepfates/memery

Default branch main · commit aec95101 · scanned 6/1/2026, 8:33:14 PM

GitHub: 576 stars · 33 forks

AI VISIBILITY SCORE
40 /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
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 deepfates/memery, 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 README H1 to clarify core function

    Why:

    CURRENT
    # Memery
> Use human language to search your image folders!
    COPY-PASTE FIX
    # Memery: Natural Language Search for Local Image Collections
> Use human language and AI to semantically search your personal image folders, datasets, or archives.
  • mediumreadme#2
    Explicitly state target audience and use cases for image search

    Why:

    CURRENT
    The problem: you have a huge folder of images. Memes, screenshots, datasets, product photos, inspo albums, anything. You know that somewhere in that folder is the exact image you want, but you can't remember the filename or what day you saved it.
    COPY-PASTE FIX
    The problem: you have a huge folder of images—be they personal photos, scientific datasets, product catalogs, or even meme collections. You know that somewhere in this archive is the exact image you want, but traditional file search fails. Memery provides a powerful solution for developers, researchers, and power users to semantically search these collections using natural language queries.
  • lowreadme#3
    Add a comparison section to differentiate from full photo management systems

    Why:

    COPY-PASTE FIX
    ## Comparison to Photo Management Systems
Memery is a specialized tool for natural language image search, designed to integrate into existing workflows or act as a backend for custom applications. Unlike comprehensive photo management systems like PhotoPrism, Immich, or Google Photos, Memery does not offer features such as photo organization, editing, sharing, or cloud synchronization. Its core focus is on providing powerful semantic search capabilities over local image collections.

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 deepfates/memery
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
photoprism/photoprism
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. photoprism/photoprism · recommended 2×
  2. immich-app/immich · recommended 2×
  3. Google Photos · recommended 2×
  4. Apple Photos · recommended 2×
  5. DigiKam · recommended 1×
  • CATEGORY QUERY
    How to search my local image collection using natural language descriptions?
    you: not recommended
    AI recommended (in order):
    1. PhotoPrism (photoprism/photoprism)
    2. Immich (immich-app/immich)
    3. DigiKam
    4. ExifTool
    5. Google Photos
    6. Apple Photos

    AI recommended 6 alternatives but never named deepfates/memery. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good tool for semantic search across large personal photo archives?
    you: not recommended
    AI recommended (in order):
    1. PhotoPrism (photoprism/photoprism)
    2. Immich (immich-app/immich)
    3. Google Photos
    4. Apple Photos
    5. DigiKam (KDE/digikam)
    6. Excire Foto

    AI recommended 6 alternatives but never named deepfates/memery. 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 deepfates/memery?
    pass
    AI named deepfates/memery explicitly

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

  • If a team adopts deepfates/memery in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepfates/memery 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 deepfates/memery solve, and who is the primary audience?
    pass
    AI named deepfates/memery explicitly

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

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deepfates/memery — 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