RRepoGEO

REPOGEO REPORT · LITE

webwhiz-ai/webwhiz

Default branch main · commit 8262769f · scanned 6/20/2026, 9:56:46 PM

GitHub: 1,039 stars · 178 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
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 webwhiz-ai/webwhiz, 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 sentence to highlight core differentiators

    Why:

    CURRENT
    Train ChatGPT on Your Website Data and Build an AI Chatbot that can instantly answer your customers queries.
    COPY-PASTE FIX
    WebWhiz is an **open-source, self-hostable, no-code platform** to build and embed AI chatbots trained on your website data for customer support and product documentation.
  • mediumtopics#2
    Expand topics to include specific use cases and solution types

    Why:

    CURRENT
    ai, chat, chatbot, chatgpt, openai, self-hosted
    COPY-PASTE FIX
    ai, chat, chatbot, chatgpt, openai, self-hosted, no-code, website-chatbot, customer-support, product-documentation, ai-platform
  • mediumabout#3
    Update the 'About' description to include key differentiators

    Why:

    CURRENT
    WebWhiz allows you to create an AI chatbot that knows everything about your product and can instantly respond to your customer's queries.
    COPY-PASTE FIX
    Create an AI chatbot trained on your website data with this open-source, self-hostable, no-code platform for instant customer support.

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 webwhiz-ai/webwhiz
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 2 · recommended 2×
  2. Mistral · recommended 2×
  3. Custom GPTs (OpenAI) · recommended 1×
  4. Voiceflow · recommended 1×
  5. Botpress · recommended 1×
  • CATEGORY QUERY
    How to build a custom AI chatbot trained on my website content for customer support?
    you: not recommended
    AI recommended (in order):
    1. Custom GPTs (OpenAI)
    2. Voiceflow
    3. Botpress
    4. LangChain
    5. OpenAI API
    6. Claude
    7. Llama 2
    8. Pinecone
    9. Weaviate
    10. ChromaDB
    11. GPT-4
    12. Claude 3
    13. Google Dialogflow CX
    14. Azure AI Bot Service
    15. Azure OpenAI Service
    16. LlamaIndex
    17. Llama 3
    18. Mistral

    AI recommended 18 alternatives but never named webwhiz-ai/webwhiz. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-hostable no-code solution to create an AI chatbot for product documentation.
    you: not recommended
    AI recommended (in order):
    1. Botpress (botpress/botpress)
    2. Rasa Open Source (RasaHQ/rasa)
    3. Chatwoot (chatwoot/chatwoot)
    4. Stack AI
    5. Llama 2
    6. Mistral
    7. LlamaIndex (run-llama/llama_index)
    8. LangChain (langchain-ai/langchain)
    9. Streamlit (streamlit/streamlit)
    10. Gradio (gradio-app/gradio)

    AI recommended 10 alternatives but never named webwhiz-ai/webwhiz. 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 webwhiz-ai/webwhiz?
    pass
    AI named webwhiz-ai/webwhiz explicitly

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

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

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

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MARKDOWN (README)
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webwhiz-ai/webwhiz — 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