AI VISIBILITY FOR CUSTOMER SERVICE

 
 
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From FAQs to AI Visibility

Chatbots and generative AI are replacing repetitive support work. FAQ handling, ticket deflection, and reactive customer support are being automated at scale.

The future of Customer Success belongs to those who move from answering questions to structuring knowledge for AI engines.

My book and course retrain Customer Success Managers into AI Visibility Engineers — professionals who curate, optimize, and measure customer knowledge so it’s ingested, cited, and surfaced accurately by AI.

 

The Problem

If your role is built on answering the same questions again and again, AI is already replacing you.

  • FAQ-heavy workloads are now handled by chatbots.

  • Ticket deflection is driven by Retrieval-Augmented Generation (RAG).

  • Customers expect instant, authoritative answers across multiple channels.

The traditional Customer Success function is eroding.

But the opportunity is bigger than ever: owning the visibility of customer knowledge in the age of AI.

The Book

From FAQs to AI Visibility: Reinventing Customer Success in the Age of Generative AI

This book shows you how to evolve from a support agent into a knowledge architect, positioning yourself at the center of AI-driven customer experience.

What you’ll learn:

  • How to turn FAQs into AI-ready assets.

  • Why knowledge graphs and ontologies matter for Customer Success.

  • How AI engines like ChatGPT, Perplexity, and Amazon Rufus ingest and surface support content.

  • Building customer knowledge strategies that drive trust and visibility.

  • How to transition your career from reactive support to strategic AI visibility.

The Course

Certified AI Visibility for Customer Success

A 6–8 week modular training that turns SEO pros into AI Visibility Engineers, with hands-on projects, deliverables, and certification.

What you’ll do:

  • Module 1: Audit your brand’s AI visibility and create a baseline scorecard.

  • Module 2: Map entities into Schema.org & Wikidata and build structured data assets.

  • Module 3: Rewrite existing content into AI-ready knowledge assets.

  • Module 4: Run citation audits across ChatGPT, Perplexity, and Rufus.

  • Module 5: Design and present an AI Visibility campaign for a real-world brand.

  • Module 6: Package your new skills into a career as a Certified AI Visibility Engineer.

Deliverables include:

  • Structured entity maps

  • Before/after AI visibility tests

  • Client-ready audit reports

  • Strategy decks and campaign designs

Tools & Certification

Every participant receives:

  • AI Visibility Audit template

  • Citation tracking spreadsheet

  • Prompt library for citation testing

  • Schema.org markup templates

  • Certification: Certified AI Visibility Engineer™

Who This Is For

  • Customer Success Managers handling FAQ-heavy workloads.

  • Support Leads responsible for scaling customer knowledge.

  • Knowledge Base Managers who want to make their content AI-ready.

The Result

By the end of the program, you’ll:

  • Master how to structure customer knowledge for AI ingestion.

  • Create AI-ready support assets that drive trust and visibility.

  • Transition from reactive ticket handling to strategic AI Visibility Engineer.

  • Position yourself as indispensable in the AI era of Customer Success.