RRepoGEO

REPOGEO REPORT · LITE

Amm1rr/WebAI-to-API

Default branch master · commit 2b69b035 · scanned 5/23/2026, 11:56:55 PM

GitHub: 1,168 stars · 211 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 Amm1rr/WebAI-to-API, 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 the README's opening paragraph to highlight browser-based AI proxying

    Why:

    CURRENT
    WebAI-to-API is a modular web server built with FastAPI that allows you to expose your preferred browser-based LLM (such as Gemini) as a local API endpoint.
    COPY-PASTE FIX
    WebAI-to-API is a modular web server built with FastAPI that transforms popular browser-based AI chatbots (like Gemini, ChatGPT, Claude) into local API endpoints. This allows you to integrate their web interfaces into your applications without needing official API keys or running models locally.
  • mediumtopics#2
    Add more specific topics to clarify the project's unique proxying function

    Why:

    CURRENT
    ai, api, api-less, bard, chatbot, chatgpt, claude, deepseek, fastapi, free, gemini, gemini-api, google-bard-api, grok, llm, python, uvicorn, webserver, webservice
    COPY-PASTE FIX
    ai, api, api-less, bard, chatbot, chatgpt, claude, deepseek, fastapi, free, gemini, gemini-api, google-bard-api, grok, llm, python, uvicorn, webserver, webservice, ai-proxy, browser-automation, web-scraping, no-api-key
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/Amm1rr/WebAI-to-API

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 Amm1rr/WebAI-to-API
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. LocalAI · recommended 1×
  4. oobabooga/text-generation-webui · recommended 1×
  5. llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to create a local API for free large language models without API keys?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. text-generation-webui (oobabooga/text-generation-webui)
    5. llama.cpp
    6. llama-cpp-python
    7. FastChat

    AI recommended 7 alternatives but never named Amm1rr/WebAI-to-API. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python web server to unify browser-based AI chatbots into a single API.
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Swagger UI
    3. ReDoc
    4. Flask
    5. Django REST Framework
    6. Django
    7. Starlette
    8. Sanic

    AI recommended 8 alternatives but never named Amm1rr/WebAI-to-API. 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 Amm1rr/WebAI-to-API?
    pass
    AI named Amm1rr/WebAI-to-API explicitly

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

  • If a team adopts Amm1rr/WebAI-to-API in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Amm1rr/WebAI-to-API 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 Amm1rr/WebAI-to-API solve, and who is the primary audience?
    pass
    AI named Amm1rr/WebAI-to-API explicitly

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

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Amm1rr/WebAI-to-API — 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