RRepoGEO

REPOGEO REPORT · LITE

weaigc/bingo

Default branch main · commit 3521386c · scanned 5/29/2026, 9:37:32 PM

GitHub: 2,843 stars · 1,194 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 weaigc/bingo, 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
  • highabout#1
    Clarify the repository description to prevent miscategorization

    Why:

    CURRENT
    Bingo，一个让你呼吸顺畅 New Bing。
    COPY-PASTE FIX
    Bingo: A self-hostable web interface for Microsoft New Bing AI, enabling unrestricted access and enhanced features.
  • highreadme#2
    Add a clear English subtitle to the README's main heading

    Why:

    CURRENT
    # Bingo

Bingo，一个让你呼吸顺畅 New Bing。
    COPY-PASTE FIX
    # Bingo
A self-hostable web interface for Microsoft New Bing AI

Bingo，一个让你呼吸顺畅 New Bing。
  • mediumtopics#3
    Expand repository topics to improve category visibility

    Why:

    CURRENT
    bing, bingai, gpt, gpt4
    COPY-PASTE FIX
    bing, bingai, gpt, gpt4, ai-chat, self-hosted, web-interface, llm-interface, bing-copilot, microsoft-copilot

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 weaigc/bingo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
oobabooga/text-generation-webui
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. oobabooga/text-generation-webui · recommended 2×
  2. LocalAI · recommended 1×
  3. Ollama · recommended 1×
  4. LM Studio · recommended 1×
  5. Jan · recommended 1×
  • CATEGORY QUERY
    How can I access a free, self-hosted AI chat assistant similar to Bing?
    you: not recommended
    AI recommended (in order):
    1. LocalAI
    2. Ollama
    3. LM Studio
    4. Jan
    5. PrivateGPT
    6. Text Generation WebUI (oobabooga/text-generation-webui)
    7. KoboldAI Lite / KoboldAI United

    AI recommended 7 alternatives but never named weaigc/bingo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a deployable web interface to use GPT-4 models without regional restrictions.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Next.js (vercel/next.js)
    3. Vue.js (vuejs/core)
    4. SvelteKit (sveltejs/kit)
    5. LangChain (langchain-ai/langchain)
    6. Flask (pallets/flask)
    7. Django (django/django)
    8. FastAPI (tiangolo/fastapi)
    9. Express (expressjs/express)
    10. Streamlit (streamlit/streamlit)
    11. Gradio (gradio-app/gradio)
    12. LobeChat (lobehub/lobechat)
    13. LocalAI (go-skynet/LocalAI)
    14. Oobabooga's Text Generation WebUI (oobabooga/text-generation-webui)

    AI recommended 14 alternatives but never named weaigc/bingo. 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 weaigc/bingo?
    pass
    AI named weaigc/bingo explicitly

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

  • If a team adopts weaigc/bingo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named weaigc/bingo 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 weaigc/bingo solve, and who is the primary audience?
    pass
    AI named weaigc/bingo 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 weaigc/bingo. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/weaigc/bingo.svg)](https://repogeo.com/en/r/weaigc/bingo)
HTML
<a href="https://repogeo.com/en/r/weaigc/bingo"><img src="https://repogeo.com/badge/weaigc/bingo.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

weaigc/bingo — 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