Give Your Agency the Clarity and Methodology to Confidently Explain and Deliver GEO Work in 2026
A practical training that helps your team understand how AI search actually works, interpret GEO signals with precision, and build workflows that your clients can trust, without hype, shortcuts, or rebuilding everything from scratch.
Practical framework you can implement immediately
US & EU-friendly time zones
Designed for SEO, content, and strategy teams
Why Agencies Struggle to Interpret ChatGPT Brand Visibility
Many agency owners tell me the same story: they’re tracking brand visibility in ChatGPT using tools like Peec, and while it’s exciting to see their name or clients appear, they’re not sure what any of it really means. They don’t know whether those mentions reflect something they’ve actually influenced or simply the models resurfacing what already exists online. Moreover, for most marketing teams it’s unclear whether AI visibility should be treated like SEO rankings or if it represents something fundamentally different.
Meanwhile, more marketers are trying to influence model outputs by increasing brand mentions across platforms, but most teams aren’t convinced this will hold up long-term. The result is the same everywhere: data that looks interesting on the surface, but no reliable way to determine whether it’s signal, noise, or just temporary narrative formation, and no clear path to turn these GEO patterns into strategy, workflows, or decisions.
Konstantinos Ntoukakis
Director of SEO & AI Search Consultant
How This Training Helps Your Team Make Sense of AI Search
Most agencies can now track their presence inside ChatGPT or Perplexity, but the moment the data appears, uncertainty sets in. This training gives your team a structured way to approach Generative Engine Optimization and evaluate AI search visibility.
You’ll learn how to distinguish early-stage signals from noise, how to understand what model visibility usually reflects (and what it doesn’t), how to determine whether a mention is actually actionable, and how to connect what you’re tracking to decisions, reporting, and workflow.
By the end, your agency will know what to measure, why it matters, how to interpret it, and how to guide clients through AI search with clarity and confidence — even when the landscape is still evolving.
A glimpse of what we’ll cover:
What’s worth tracking and what isn’t. Not every metric inside Peec or custom prompt testing reflects a real signal, and the training helps your team focus on the handful of indicators that connect to strategy, not noise.
How to map what you track to workflow. Whether it’s in SEO, PR, or content, your team will understand how visibility patterns relate to narrative formation, off-site signals, and content architecture. This keeps GEO from becoming a stand-alone initiative and instead folds it into the processes your agency already runs.
How to communicate with clients responsibly. When clients ask why their competitor appears inside ChatGPT or why their own visibility fluctuates, your team knows how to give calm, accurate, evidence-based explanations, without making predictions or treating AI engines like traditional ranking systems.
How to position and plan GEO for 2026. As budgets shift and clients want AI search guidance, your team will understand how to scope GEO, where it fits in strategy, how to report on it, and how to differentiate your agency from competitors who rely on superficial tactics.
How Can Anyone Be a GEO Expert When the Field Is This New?
I’ve spent nearly a decade leading SEO strategy, including over five years as Director of SEO for a US agency working with top consumer electronics companies, global e-commerce brands, federal organizations, and B2B SaaS teams. I run a marketing consultancy in Ireland, helping service businesses and agencies grow through strategic SEO, AI search optimization, and durable systems.
I’ve been studying the precursors of ChatGPT since 2018 and have built GEO processes that agencies use today to train internal teams, interpret AI visibility data, design workflows, and guide client conversations. My approach is grounded, research-driven, and focused on practical application, not hype or speculation.
Who This Training Is For
Agencies Preparing for a Shift Year: 2026 is a transition year. Clients are questioning their SEO spend while increasing their curiosity, and budgets, for AI search. They’re hearing conflicting information and often come to agencies looking for interpretation, direction, and reassurance. Agencies that can’t explain what they’re seeing risk losing trust, even if their execution is solid. This training prepares your team for that shift:
how to talk about AI search intelligently, how to frame GEO within existing services, how to interpret unusual analytics patterns, how to explain why competitors are visible in certain AI models, and how to build a GEO practice that aligns with what’s actually happening rather than what the industry speculates.
Small and mid-size agencies whose teams work across SEO, content, PR, and digital strategy now find themselves responsible for interpreting AI visibility without the internal frameworks that large agencies are already building, while simultaneously trying to stay ahead of competitors who often overstate their expertise.
Marketing teams who have access to tools like Peec, or are considering them, but aren’t sure what the numbers truly represent and need a clear way to explain visibility fluctuations and competitor presence to clients and stakeholders. They want a trusted, data- and research-driven methodology rather than relying on short-lived “brand-mention hacks,” and they prefer to integrate GEO into their existing workflows instead of reinventing everything from scratch.
Ready to Get Clarity on GEO Before 2026 Planning Kicks Off?
Connect with Konstantinos to explore whether this training is the right fit.
Share a brief introduction and the areas where your team needs more confidence or structure.
Konstantinos Ntoukakis
Co-founder, marketing consultant
