Eskimoz on GEO: Turning AI Visibility into a Structured, Standalone Service
As generative AI continues to reshape search, agencies are taking different paths to define GEO. Some weave it into SEO, others extend content strategies to include it.
In this edition of The GEO Series, Johnny Craston, Head of Operations at Eskimoz, presents a more defined approach. At Eskimoz, GEO is built and delivered as a standalone service, with its own structure, workflows, and outputs.
That distinction changes how GEO is understood.
While many agencies are still adapting their existing models, Eskimoz is already treating GEO as a productized offering, designed to be repeatable and scalable across clients.
GEO Strategy & Services
At Eskimoz, GEO sits within a broader growth agenda, driven by increasing client demand and a clear shift in how visibility is shaped by AI-generated answers.
The service is positioned as its own layer, separate enough to maintain focus, yet aligned with SEO and content where needed.
Across The GEO Series Q&A, most agencies still integrate GEO into existing SEO services. However, Eskimoz takes a different approach by defining GEO as a standalone offering, enabling clearer positioning and more structured delivery.
That separation brings clarity.
Clients understand what GEO is, what it includes, and how it contributes to visibility. Internally, it allows teams to execute with more precision and consistency.
What Eskimoz’s GEO Services Include
According to Johnny Craston, Eskimoz approaches GEO through a structured sequence of analysis, optimization, and iteration.
The work covers:
- Evaluating brand visibility across AI platforms
- Identifying gaps in how content is surfaced and cited
- Refining content for AI interpretation and extraction
- Strengthening authority and citation signals
- Monitoring performance and adjusting outputs over time
The strength of this model lies in how tightly these steps connect. Each activity feeds into the next, forming a continuous loop that keeps visibility aligned with how AI systems evolve.
How Eskimoz Structures GEO Services
Eskimoz organizes GEO in a way that supports clarity and repeatability.
Ownership is more defined, workflows are easier to follow, and outputs can be standardized across projects.
That structure enables:
- Consistent delivery
- Clearer internal alignment
- Scalability across multiple clients
That’s why GEO becomes something that can be implemented with discipline, not improvised from one project to another.
How GEO Actually Works
From Eskimoz’s perspective, the shift to generative AI comes down to how information is processed. AI systems extract, synthesize, and prioritize content based on how easily it can be interpreted and trusted.
Visibility is shaped by inclusion.
If content cannot be parsed, trusted, or reused, it is unlikely to appear in AI-generated responses and that puts emphasis on:
- Clear topical authority
- Structured and modular content
- Strong citation signals
Content is designed with interpretation in mind, ensuring it can be selected, understood, and surfaced within AI environments.
Measuring GEO Performance
Eskimoz evaluates performance through visibility and positioning signals inside AI-generated environments.
The focus includes:
- ÌìÃÀ´«Ã½Å®ÓÅ presence within AI answers
- Frequency of inclusion and citation
- Positioning relative to competitors
These signals provide a clearer picture of how a brand is represented, even when traditional traffic metrics fall short.
One limitation continues to shape this process is limited transparency from AI platforms.
Without clear visibility into selection logic, optimization relies on testing, comparison, and iteration.
Generative Engine Optimization Tools & Platforms
Eskimoz operates across a growing ecosystem of AI platforms where visibility is increasingly distributed.
Today, ChatGPT, Google AI Overviews, Gemini, and Perplexity all play a critically important role in shaping how brands appear.
The agency supports this with a mix of:
- Traditional SEO tools such as Google Search Console and Google Analytics
- GEO-specific platforms
- Internal methodologies
A consistent constraint remains.
According to Johnny Craston, limited transparency from AI platforms is one of the biggest limitations that current GEO tools provide.
Without direct insight into how content is selected, optimization depends on observation and continuous refinement.
The Future of GEO
Looking ahead, Johnny Craston sees GEO evolving as “a natural extension of search, with more defined structures and processes.”
The direction is clear. GEO is becoming a structured layer within digital strategy, with clearer frameworks and more consistent delivery models.
Agencies that succeed will be those that can build, package, and scale GEO with discipline.
