RRepoGEO

REPOGEO REPORT · LITE

neural-maze/ava-whatsapp-agent-course

Default branch main · commit 338fd687 · scanned 5/21/2026, 1:52:54 AM

GitHub: 1,662 stars · 425 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
28 /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
2 / 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 neural-maze/ava-whatsapp-agent-course, 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
    Update About description to highlight 'course'

    Why:

    CURRENT
    Meet Ava, the WhatsApp Agent
    COPY-PASTE FIX
    A comprehensive course to build Ava, an AI-powered WhatsApp agent for conversational engagement.
  • hightopics#2
    Add 'course' and 'tutorial' related topics

    Why:

    CURRENT
    agent, agent-based, agentic-workflow, agents, stt, tts, vector-database
    COPY-PASTE FIX
    agent, agent-based, agentic-workflow, agents, stt, tts, vector-database, course, tutorial, whatsapp-bot, ai-assistant, conversational-ai
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add the URL for the course's official landing page or documentation.

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 neural-maze/ava-whatsapp-agent-course
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Twilio Autopilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Twilio Autopilot · recommended 2×
  2. Twilio · recommended 1×
  3. Meta's WhatsApp Business Platform (API) · recommended 1×
  4. Dialogflow ES · recommended 1×
  5. Dialogflow CX · recommended 1×
  • CATEGORY QUERY
    How to build an AI assistant that can engage users on WhatsApp conversationally?
    you: not recommended
    AI recommended (in order):
    1. Twilio Autopilot
    2. Twilio
    3. Meta's WhatsApp Business Platform (API)
    4. Dialogflow ES
    5. Dialogflow CX
    6. Rasa
    7. MessageBird Flow Builder
    8. Vonage AI Studio
    9. Vonage Messages API
    10. 360dialog WhatsApp API
    11. OpenAI GPT-3.5
    12. OpenAI GPT-4
    13. Cohere
    14. Hugging Face Transformers

    AI recommended 14 alternatives but never named neural-maze/ava-whatsapp-agent-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for creating a voice-enabled AI agent for messaging applications?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Dialogflow
    2. Google Cloud Speech-to-Text
    3. Google Cloud Text-to-Speech
    4. Amazon Lex
    5. Amazon Transcribe
    6. Amazon Polly
    7. Microsoft Azure Bot Service
    8. Azure Cognitive Services Speech
    9. Rasa (RasaHQ/rasa)
    10. AssemblyAI
    11. Deepgram
    12. Mozilla Common Voice
    13. OpenAI API
    14. GPT models
    15. ElevenLabs
    16. Twilio Autopilot
    17. Twilio Programmable Voice

    AI recommended 17 alternatives but never named neural-maze/ava-whatsapp-agent-course. 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 neural-maze/ava-whatsapp-agent-course?
    pass
    AI named neural-maze/ava-whatsapp-agent-course explicitly

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

  • If a team adopts neural-maze/ava-whatsapp-agent-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named neural-maze/ava-whatsapp-agent-course 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 neural-maze/ava-whatsapp-agent-course solve, and who is the primary audience?
    pass
    AI did not name neural-maze/ava-whatsapp-agent-course — likely talking about a different project

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite