RRepoGEO

REPOGEO REPORT · LITE

strohne/Facepager

Default branch master · commit 14dbd771 · scanned 6/5/2026, 8:41:51 AM

GitHub: 541 stars · 205 forks

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 strohne/Facepager, 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
  • hightopics#1
    Add specific topics for better categorization

    Why:

    COPY-PASTE FIX
    data-collection, web-scraping, api-client, social-media-research, academic-research, gui-application, data-extraction, sqlite
  • highreadme#2
    Reposition README opening to highlight GUI and research audience

    Why:

    CURRENT
    Facepager was made for fetching public available data from YouTube, Twitter and other websites on the basis of APIs and webscraping. All data is stored in a SQLite database and may be exported to csv.
    COPY-PASTE FIX
    Facepager is a user-friendly desktop application (GUI) designed for social science and academic researchers to systematically collect public data from social media APIs and websites. It simplifies complex tasks like multi-threaded data collection, rate limits, and pagination, storing all data in a SQLite database for easy export to CSV.
  • mediumlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, e.g., with the MIT License text, to clearly state the terms of use.

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 strohne/Facepager
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
twintproject/twint
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. twintproject/twint · recommended 1×
  2. crummy/BeautifulSoup · recommended 1×
  3. scrapy/scrapy · recommended 1×
  4. Apify · recommended 1×
  5. Octoparse · recommended 1×
  • CATEGORY QUERY
    How to collect public data from social media APIs and websites efficiently?
    you: not recommended
    AI recommended (in order):
    1. Twint (twintproject/twint)
    2. Beautiful Soup (crummy/BeautifulSoup)
    3. Scrapy (scrapy/scrapy)
    4. Apify
    5. Octoparse
    6. Selenium (SeleniumHQ/selenium)
    7. Reddit API
    8. YouTube Data API
    9. LinkedIn API

    AI recommended 9 alternatives but never named strohne/Facepager. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tool helps manage web scraping and API data collection with rate limits and pagination?
    you: not recommended
    AI recommended (in order):
    1. Scrapy
    2. Apify SDK
    3. Beautiful Soup
    4. Requests
    5. HTTPX
    6. Puppeteer
    7. Playwright
    8. Zyte Smart Proxy Manager
    9. Postman

    AI recommended 9 alternatives but never named strohne/Facepager. 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 strohne/Facepager?
    pass
    AI named strohne/Facepager explicitly

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

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