RRepoGEO

REPOGEO REPORT · LITE

developersdigest/llm-api-engine

Default branch main · commit cec7b1b0 · scanned 6/6/2026, 2:27:51 PM

GitHub: 755 stars · 80 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 developersdigest/llm-api-engine, 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 and opening sentence for clarity

    Why:

    CURRENT
    # LLM API Engine
Build and deploy AI-powered APIs in seconds.
    COPY-PASTE FIX
    # LLM API Engine: AI-Powered APIs for Structured Web Data Extraction
Build and deploy custom APIs in seconds that extract structured data from websites using natural language descriptions, powered by LLMs and web scraping technology.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, api-builder, web-scraping, data-extraction, natural-language-processing, ai-apis, structured-data, nextjs
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and adding the necessary license text.

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 developersdigest/llm-api-engine
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apify
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Apify · recommended 2×
  2. Python · recommended 1×
  3. BeautifulSoup · recommended 1×
  4. Scrapy · recommended 1×
  5. OpenAI GPT-3.5 · recommended 1×
  • CATEGORY QUERY
    How to build an API that scrapes website data using natural language prompts?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. BeautifulSoup
    3. Scrapy
    4. OpenAI GPT-3.5
    5. GPT-4
    6. FastAPI
    7. Node.js
    8. Puppeteer
    9. Cheerio
    10. LangChain.js
    11. Express.js
    12. Playwright
    13. LlamaIndex
    14. Flask
    15. Apify
    16. Zapier
    17. Make
    18. OpenAI API
    19. Selenium
    20. spaCy
    21. NLTK
    22. Django REST Framework

    AI recommended 22 alternatives but never named developersdigest/llm-api-engine. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to quickly deploy AI-driven APIs for structured data extraction from web pages?
    you: not recommended
    AI recommended (in order):
    1. Scrapy Cloud
    2. Zyte Automatic Extraction
    3. Apify
    4. ParseHub
    5. Octoparse
    6. Bright Data
    7. ScrapingBee
    8. Cloudmersive Web Scraper API

    AI recommended 8 alternatives but never named developersdigest/llm-api-engine. 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 developersdigest/llm-api-engine?
    pass
    AI named developersdigest/llm-api-engine explicitly

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

  • If a team adopts developersdigest/llm-api-engine in production, what risks or prerequisites should they evaluate first?
    pass
    AI named developersdigest/llm-api-engine 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 developersdigest/llm-api-engine solve, and who is the primary audience?
    pass
    AI named developersdigest/llm-api-engine 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 developersdigest/llm-api-engine. 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)
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