RRepoGEO

REPOGEO REPORT · LITE

microsoft/call-center-ai

Default branch main · commit 958b3192 · scanned 6/18/2026, 7:57:11 AM

GitHub: 6,507 stars · 777 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 microsoft/call-center-ai, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify the README's opening statement to emphasize 'solution accelerator'

    Why:

    CURRENT
    # Call Center AI

AI-powered call center solution with Azure and OpenAI GPT.
    COPY-PASTE FIX
    # Call Center AI: Azure & OpenAI GPT Solution Accelerator

This repository provides a deployable, customizable AI-powered call center solution accelerator built with Azure and OpenAI GPT, enabling programmatic inbound and outbound phone calls.
  • mediumabout#2
    Update the repository description to highlight its nature as a solution accelerator

    Why:

    CURRENT
    Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!
    COPY-PASTE FIX
    A deployable AI-powered call center solution accelerator with Azure and OpenAI GPT, enabling programmatic inbound and outbound phone calls.

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 microsoft/call-center-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Twilio Programmable Voice
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Twilio Programmable Voice · recommended 2×
  2. Amazon Connect · recommended 2×
  3. Vonage (formerly Nexmo) Voice API · recommended 1×
  4. SignalWire Programmable Voice · recommended 1×
  5. Google Cloud Contact Center AI (CCAI) Platform · recommended 1×
  • CATEGORY QUERY
    How can I programmatically initiate outbound phone calls using an AI agent?
    you: not recommended
    AI recommended (in order):
    1. Twilio Programmable Voice
    2. Vonage (formerly Nexmo) Voice API
    3. SignalWire Programmable Voice
    4. Google Cloud Contact Center AI (CCAI) Platform
    5. Amazon Connect
    6. Plivo Voice API

    AI recommended 6 alternatives but never named microsoft/call-center-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow building an AI-driven customer service bot accessible via phone?
    you: not recommended
    AI recommended (in order):
    1. Google Dialogflow CX
    2. Google Cloud Contact Center AI (CCAI)
    3. Twilio
    4. Amazon Lex
    5. Amazon Connect
    6. Microsoft Azure Bot Service
    7. Azure Communication Services
    8. Azure Cognitive Services
    9. IBM Watson Assistant
    10. IBM Voice Agent with Watson
    11. Genesys Cloud
    12. Twilio Autopilot
    13. Twilio Programmable Voice
    14. Voiceflow

    AI recommended 14 alternatives but never named microsoft/call-center-ai. 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 microsoft/call-center-ai?
    pass
    AI named microsoft/call-center-ai explicitly

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

  • If a team adopts microsoft/call-center-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/call-center-ai 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 microsoft/call-center-ai solve, and who is the primary audience?
    pass
    AI did not name microsoft/call-center-ai — 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?

Embed your GEO score

Drop this badge into the README of microsoft/call-center-ai. 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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HTML
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  • Brand-free category queries5 vs 2 in Lite
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