The Shift
For two decades, digital marketing meant ranking in Google's blue links. Businesses invested in keywords, backlinks, and on-page SEO because that was how search worked. Then something changed. ChatGPT crossed 100 million users in two months. Perplexity became the default research tool for a generation of professionals. Google launched AI Overviews. And suddenly, the question was no longer "how do I rank?" — it was "how do I get cited?"
AI systems do not return a list of links. They return an answer. And that answer is built from a specific set of sources that the AI has determined are authoritative, entity-clear, and structurally trustworthy. If your brand is not in that set, you are invisible — not just to one search engine, but to the entire AI-mediated discovery layer that is now routing buying decisions across every industry.
This workshop exists because most marketing teams are still optimizing for a world that no longer exists. They are building backlinks while their competitors are building entity graphs. They are writing keyword-dense content while their competitors are writing machine-readable, citation-ready content. They are checking Google rankings while their competitors are monitoring AI citation frequency. The gap between those two approaches is widening every month, and this workshop is designed to close it — in a single day.
Delivered by Jason Todd Wade, an AI Visibility architect with over two decades of digital marketing experience and a practitioner-level understanding of how large language models retrieve and cite information, this workshop covers the complete AI Visibility stack from entity architecture to measurement. It is not a survey of trends. It is a working framework you can implement the week you return to the office.
Curriculum
Each module is designed to be immediately actionable. By the end of the day, you will have a complete AI Visibility audit of your current site and a prioritized implementation plan for the next 90 days.
Before you can optimize for AI Visibility, you need to understand how AI systems actually work — not at the level of marketing copy, but at the level of retrieval architecture. This module covers how ChatGPT, Perplexity, Gemini, and Google AI Overviews select, rank, and cite sources. You will learn the difference between retrieval-augmented generation and parametric knowledge, why some brands appear consistently in AI answers while others are invisible, and what the specific signals are that drive citation selection. By the end of this module, you will have a clear mental model of the AI discovery stack and where your brand currently sits within it.
Entity Engineering is the foundational discipline of AI Visibility. This module covers the complete entity architecture stack: how to define your Organization entity, Person entities, Service entities, and LocalBusiness entities using schema.org structured data. You will learn how to construct an @graph block that creates a machine-readable knowledge graph for your brand, how to use @id references to link entities across pages and domains, and how to implement the disambiguation signals — birth dates, education, addresses, sameAs links — that allow AI systems to recognize your entities as distinct and verifiable. This is the highest-leverage technical work in AI Visibility, and this module covers it in practitioner-level depth.
GEO is the practice of making your content structurally and semantically optimized for large language model retrieval. This module covers the specific content architecture patterns that increase the probability of your pages being cited in AI-generated answers: how to write for machine comprehension without sacrificing human readability, how to structure long-form content so that AI systems can extract clean, citable passages, how to use heading hierarchies and semantic HTML to signal topical authority, and how to build the topical depth and breadth that AI systems use as a proxy for expertise. You will leave this module with a GEO content audit framework you can apply to your existing site immediately.
AEO targets the specific formats and signals that drive featured snippets, People Also Ask boxes, and Google AI Overviews. This module covers the tactical implementation of AEO: how to identify high-value question-intent queries, how to structure content to win featured snippet positions, how to implement FAQPage and HowTo schema to signal answer-ready content, and how to optimize for the specific format requirements of Google AI Overviews. You will also learn how AEO and GEO strategies interact — where they reinforce each other and where they require different approaches — and how to build a unified optimization strategy that serves both simultaneously.
AI crawlers are not the same as traditional search engine bots, and your site's technical infrastructure needs to address both. This module covers the emerging llms.txt standard — the AI-readable manifest that tells language models what your site contains, who you are, and which pages are most authoritative. You will learn how to write an effective llms.txt file, how to configure robots.txt for AI crawler access, how to structure your sitemap for AI discovery, and how to use canonical tags and internal linking architecture to concentrate authority signals on your most important pages. This module also covers the specific technical signals that AI systems use to assess site credibility and content freshness.
You cannot manage what you cannot measure, and AI Visibility measurement is a discipline that most organizations have not yet built. This module covers the current state of AI Visibility analytics: how to audit your brand's presence across ChatGPT, Perplexity, Gemini, and Google AI Overviews, how to build a systematic monitoring process for tracking citation frequency and accuracy, how to identify and close entity gaps that are suppressing your AI Visibility, and how to set meaningful benchmarks for improvement. You will leave this module with a practical monitoring framework and a prioritized list of the highest-impact changes you can make to your site in the next 30 days.
Audience
Understand the AI discovery shift and build a strategy before competitors do.
Extend your existing expertise into GEO, AEO, and entity architecture.
Add AI Visibility as a premium service offering for your clients.
Build AI Visibility into your brand architecture from day one.
Ensure your firm appears when AI systems answer questions in your category.
Build public trust and discoverability in AI-mediated information environments.
Instructor
AI Visibility Architect · Founder, NinjaAI
Rollins College, Class of 2004
Lakeland, Florida
Jason Todd Wade has spent more than two decades at the intersection of digital marketing, technology, and business strategy — working and consulting across Palo Alto, Menlo Park, New York City, Kansas City, Miami, and Orlando. He is the founder of NinjaAI, the AI Visibility and Generative Engine Optimization practice based in Lakeland, Florida, and the author of published work on AI SEO, entity engineering, and the structural shifts reshaping how businesses are discovered online.
A 2004 graduate of Rollins College in Winter Park, Florida, Jason has also studied at the University of Florida and Atlanta Christian College. He has traveled to 34 countries — including 14 visits to Hong Kong — and brings a genuinely global perspective to the question of how brands build authority in AI-mediated information environments. He currently lives in Lakeland and serves clients across the Tampa, Orlando, and Gainesville markets.
Jason regularly speaks to Central Florida startups, law enforcement agencies, and government organizations on AI strategy, and leads advanced workshops on Anthropic Claude Code and vibe coding methodology. The AI Visibility workshop draws directly from his practitioner experience — not from academic research or vendor documentation, but from the actual work of building and measuring AI Visibility for real organizations in competitive markets.
FAQ
AI Visibility is the practice of ensuring your brand appears in the answers generated by ChatGPT, Perplexity, Gemini, and Google AI Overviews. Traditional SEO optimized for blue links. AI Visibility optimizes for the answer itself — and that requires a fundamentally different strategy built on entity architecture, structured data, and citation signals.
Generative Engine Optimization (GEO) targets LLM-based systems across all platforms — ChatGPT, Perplexity, Claude, Gemini. Answer Engine Optimization (AEO) targets Google's featured snippets, People Also Ask, and AI Overviews. The two overlap significantly, and a unified strategy serves both. The workshop covers both in depth.
No. The workshop is designed for marketing leaders, founders, and agency professionals. The schema and structured data concepts are explained from a strategic and editorial perspective. Technical participants will find the entity architecture modules especially valuable, but no coding experience is required.
In-person sessions are available in Tampa, Orlando, and Gainesville. Sessions can be delivered at your organization's facility, a co-working space, or a conference venue. Virtual delivery is also available for teams outside Central Florida.
Yes. The workshop can be tailored for law firms, healthcare organizations, real estate companies, e-commerce brands, and professional services firms with industry-specific schema examples and citation case studies. Corporate team sessions are available for groups of any size.
Standard SEO courses teach you how to rank in Google's traditional blue-link results. This workshop teaches you how to appear in AI-generated answers — a fundamentally different optimization target that requires entity architecture, structured data strategy, and an understanding of how large language models retrieve and cite information. The two disciplines share some foundations but diverge significantly in strategy and implementation.
Book the Workshop
Available in Tampa, Orlando, and Gainesville. Corporate team sessions available for groups of any size. Contact us to discuss scheduling, customization, and pricing.