RRepoGEO

REPOGEO REPORT · LITE

microsoft/call-center-ai

Default branch main · commit 958b3192 · scanned 5/8/2026, 4:16:57 PM

GitHub: 6,452 stars · 766 forks

AI VISIBILITY SCORE
22 /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
1 / 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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["call-center", "ai", "azure", "openai", "gpt", "customer-service", "reference-architecture", "solution-accelerator", "outbound-calls", "inbound-calls", "contact-center"]
  • highreadme#2
    Reposition README H1 and opening paragraph to clarify 'reference architecture'

    Why:

    CURRENT
    # Call Center AI
    AI-powered call center solution with Azure and OpenAI GPT.
    COPY-PASTE FIX
    # Call Center AI: Reference Architecture
    An AI-powered call center **reference architecture and solution accelerator** built with Azure and OpenAI GPT. This blueprint provides code samples for developers to build their own custom inbound and outbound call center solutions.
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
    
    Unlike commercial SaaS platforms (e.g., Genesys Cloud CX, LivePerson Conversational AI) or general-purpose communication APIs (e.g., Twilio Programmable Voice), `Call Center AI` is a **reference architecture and solution accelerator**. It provides a customizable blueprint and code samples for developers to build their own AI-powered call center solutions using Azure and OpenAI, rather than being a ready-to-deploy product or a low-level 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 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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Twilio Programmable Voice · recommended 1×
  2. Twilio Autopilot · recommended 1×
  3. Twilio Functions · recommended 1×
  4. Genesys Cloud CX · recommended 1×
  5. LivePerson Conversational AI · recommended 1×
  • CATEGORY QUERY
    Need an API to make AI-driven outbound calls for customer support and information gathering.
    you: not recommended
    AI recommended (in order):
    1. Twilio Programmable Voice
    2. Twilio Autopilot
    3. Twilio Functions

    AI recommended 3 alternatives but never named microsoft/call-center-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for creating an automated IT support call center with AI?
    you: not recommended
    AI recommended (in order):
    1. Genesys Cloud CX
    2. LivePerson Conversational AI
    3. IBM Watson Assistant
    4. Google Contact Center AI (CCAI)
    5. ServiceNow Virtual Agent
    6. Microsoft Azure Bot Service
    7. Azure Cognitive Services
    8. Amazon Lex
    9. Amazon Connect

    AI recommended 9 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 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?

  • 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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