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AEO Strategy for 2026 - Dominate AI Search (Workshop)

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ServiceTitan

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Uscreen

George Chasiotis

Founder at Minuttia

Learn what matters in AI Search now: prompts, citations, mentions, brand signals, and content that earns visibility.

Build an AEO strategy you can actually use in 2026

Take prompt maps, citation gap templates, planning frameworks, and channel priorities back to your team.

Get templates and frameworks your team can use

See where to invest first across pages, use cases, YouTube, Reddit, and third-party sources.

A live working session on where to focus first

AI is decimating old business models overnight. Go beyond demos and learn the frameworks to build a lasting competitive moat and win.

Director of Product, Google AI

Satyajeet Salgar

Director of Product, Google AI | Scaled multiple products to 1B+ user

Ex-Founder, Tech Staff @ Anthropic Labs

Henry Shi

 Ex-Founder ($200M) | Tech Staff to Anthropic Co-Founder

Cohort 2

Cohort 3

When everyone has the same APIs, strategy is your only true advantage.Models are becoming commodities and features are copied in days. The winners won't be those with the best engineering, but those with the best Strategic Contrast.Designed for Senior Leaders, VPs, and Founders, this executive workshop moves beyond "demos" to focus on the hard truths of AI economics.What we cover:<ul><li>The Moat Crisis: Why data isn't enough and how to build "Contextual Moats."</li><li>The P&amp;L Trap: Structuring unit economics for profitability, not just growth.</li><li>The "Full-Stack" Strategy: Aligning data, roadmap, and GTM.</li></ul>Outcome: Produce your AI Moat Blueprint™—a rigorous strategic document reviewed personal by our Product Team.⚡️ BEST VALUE: Executive Track We have combined Maven's #1 most popular AI courses into a single executive track. The rational high-leverage move: Secure 24-month all-access to the complete suite ($10,000 Value). Take and retake any cohort.<ul><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/product-faculty/ai-product-management-certification">AI Product Management ($2,500)</a></li><li>AI Product Strategy for Leaders ($2,500)</li><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/product-faculty/ai-product-leadership-training">AI Product Leadership ($5,000)</a></li></ul>👉 <a target="_blank" rel="noopener noreferrer nofollow" href="https://buy.stripe.com/4gMaEZbgVam48Q00pVdnW0a?prefilled_promo_code=EXECTRACK">Secure the Executive Track for $4,995</a>

When everyone has the same APIs, your strategy is your only true advantage.

Build a defensible AI Moat that isn't just a "better model"

Manage an AI P&L and avoid the "Pilot Purgatory" trap

Architect a "Full-Stack" AI Strategy beyond just features

Gain Board-level buy-in with rigorous strategic clarity

Master the new AI GTM Playbook for pricing and packaging

Navigate the 4 Layers of AI Disruption to spot opportunities

This course is for experienced leaders (PMs, Eng, Founders) accountable for product success. It is not a foundations course for beginners.

Advanced Program Prerequisites

Senior Product Leaders (VPs, Directors):Your roadmap is obsolete. Get the frameworks for building a defensible moat and managing an AI P&amp;L.

For Eng. &amp; Tech Leaders: Your tech advantage is temporary. This is the playbook for connecting engineering to a winning business strategy.

For Founders &amp; C-Suite: Strategy is your only durable advantage. This is the playbook on building a profitable company, not just a produc

Learn to design, govern & scale enterprise AI—become a board-ready Chief AI Officer driving measurable impact.

Cohort 1

Founder & AI Instructor at School of AI

Vivian Aranha

AI architect with 2.2M+ learners, building enterprise-grade agentic systems

This course is completely asynchronous and available to view at your own convenience. There will be no Live sessions.AI is now a board-level priority—but most organizations struggle to turn AI ambition into real business value. As a current or aspiring Chief AI Officer (CAIO), you face a critical challenge: aligning AI strategy with revenue growth, operational efficiency, governance, risk management, and enterprise-scale execution.Many AI initiatives fail not because of weak technology, but due to unclear strategy, poor data foundations, lack of executive alignment, missing KPIs, and weak governance frameworks. The gap between AI experimentation and enterprise transformation is where most leaders get stuck.This CAIO Mastery program is built to close that gap.You will learn how to design an enterprise AI strategy, define measurable AI KPIs, evaluate ROI, build scalable data and infrastructure foundations, implement MLOps, and lead cross-functional AI transformation. By the end, you won’t just understand AI—you’ll know how to lead AI at enterprise scale and position yourself as a trusted C-suite executive driving responsible, measurable AI impact.

Turn AI into a Board-Level Advantage—Not Just a Technical Experiment

Learn to align AI initiatives with business objectives & competitive advantage.

Develop foundations required for enterprise-scale AI deployment.

Create responsible, compliant, and auditable AI systems.

Drive adoption, culture change, and cross-functional alignment.

Operationalize AI initiatives beyond experimentation.

Strengthen executive communication and C-suite collaboration.

Senior tech or data leader preparing to step into a Chief AI Officer or enterprise AI strategy role.

C-suite executive (CIO, CTO, COO, CDO) driving AI transformation and governance at scale.

Business leader or consultant designing AI strategy, ROI frameworks, and enterprise roadmaps for clients.

Learn to turn scattered AI experimentation into org-wide transformation that ships at scale.

3x CPTO | CEO, ChatPRD | Host, How I AI

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Color

Optimizely

Claire Vo

3x CPTO, Founder ChatPRD, and Host of How I AI - expert on AI transformation.

Principal Engineer | Prev. Dir of Eng

Atlassian

Zach Davis

Principal Engineer who implemented AI across a 100-person org.

Your team has AI tools, but you're not close to AI-native.Most EPD orgs buy Claude Code, help their PMs vibe code a bit, and call it progress. But the gap between "some are using AI a lot" and "AI is changing how our entire EPD org operates" is huge, and almost nobody is closing it.The problem isn't access to tools, it's that nobody invested in the culture change, technical readiness, or operations redesign required to turn individual adoption into organizational leverage. 🤖 Your codebase isn't ready for agents. 🎁 Your PMs create prototypes and expect them to get built. 🤷‍♀️ Your designers don't know how to get their fixes to production. And you're supposed to have the plan. This 2-day intensive will help you build it.Taught by Claire Vo and Zach Davis — operators who've done this firsthand, not consultants who've read about it. Claire has interviewed 50+ EPD leaders on How I AI and has more first-person data on AI adoption than anyone in the industry. Zach led AI transformation across 100+ engineers and built the systems that got an entire org actively using AI tools weekly.You'll leave with specific tactics, real examples, and a peer group for accountability + inspiration.

Learn how to go from AI tool adoption to team impact and product velocity.

Know where AI creates real leverage, and where it doesn't 

Build a culture that actually adopts

Make your codebase work with agents

Redesign your operating model for the full EPD org

Lead the hard conversations

VPs of Engineering who need a real answer when their board asks "what's our AI strategy?" — not just "we bought licenses."

CTOs and CPOs who need to lead AI adoption across engineering, product, and design — not just sponsor an engineering tool rollout.

Staff and Principal Engineers tapped to "figure out AI" for the org, who need both the playbook and the leverage to make it work.

After completing this course, you’ll move from being “told to lead AI” to leading with clarity, credibility, and results.

Data & AI Executive, Board Member

Fredy Diaz

Data & AI leader, board member, mentor, US Marine

Spring 2026

Executives and managers are being asked to “have an AI strategy” without clear definitions, approve tools and pilots without confidence they’ll deliver value, balance innovation with risk and governance, and explain AI decisions to boards, auditors, and stakeholders, all without breaking trust or the budget.This course shows you how to lead through that ambiguity.You’ll learn how to define AI strategy in terms executives and boards actually care about, decide where AI should not be used before problems arise, right-size talent without overhiring or creating bottlenecks, evaluate tools objectively without becoming dependent on vendors, and choose projects that can survive procurement, politics, and operational reality. You’ll also learn how to communicate AI clearly, when the stakes are high and scrutiny is real.By the end of five weeks, you’ll have an executive-ready AI strategy, a practical roadmap, and a clear briefing you can use immediately.This course is built for leaders who are done with pilot purgatory, shiny tools with unclear ROI, and strategy decks that collapse at implementation. If you’re responsible for AI outcomes, this course will give you the confidence to deliver.

Lead AI strategy with confidence without getting lost in tools, pilots, or hype

Define AI Strategy with Measurable Outcomes

Build the Right AI Talent & Operating Model

Select Tools That Deliver Real Value

Prioritize High-Impact AI Projects

Communicate your AI Strategy

Senior Executive or Deputy (C-Suite, SES, VP, Director)

AI, Data, or Digital Leader (CDAO, Head of AI, Product, IT, or Innovation)

Business or Program Leader Owning AI Outcomes