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LOOP on GEO: Why ������ýŮ�� Authority Now Matters More Than Keywords

As generative AI reshapes how information is discovered online, many agencies are still trying to understand what GEO really means in practice. For others, however, it is already becoming a structured part of their search strategy.

In this edition of The GEO Series, we spoke with Michael John, CEO of LOOP, about how the agency structures GEO services, measures AI visibility, and adapts its teams to the evolving AI search ecosystem.

Based in Salzburg, Austria, LOOP is already seeing growing demand from clients looking to strengthen their presence in generative AI responses.

GEO Strategy & Services

At LOOP, GEO is currently viewed as a strategic expansion area with increasing focus. While the discipline is still evolving, the agency is already seeing strong interest from brands trying to understand how they appear in AI-generated answers.

“From most of our clients, GEO has already become part of the conversation.”

This growing curiosity from clients mirrors what we are hearing across many conversations in The GEO Series — generative search is moving quickly from a theoretical topic to a practical marketing challenge.

To respond to this shift, LOOP has positioned GEO as a standalone paid service, rather than embedding it entirely within traditional SEO engagements.

Instead of focusing solely on rankings, the agency’s GEO work aims to improve how brands appear and are referenced inside AI-generated answers.

How LOOP Structures GEO Services

LOOP approaches GEO as a visibility layer within generative AI systems, combining strategic audits with ongoing optimisation.

Their framework focuses on:

• Analyzing brand visibility across generative engines
• Testing how LLMs interpret and reference brand content
• Improving structured data and contextual content signals
• Monitoring AI responses to identify citation patterns

Rather than focusing purely on rankings, this approach allows the agency to monitor how brands appear within AI-generated narratives.

How GEO Actually Works

One of the biggest shifts GEO introduces is how content is evaluated.

Traditional search engines rely heavily on keyword signals and backlinks. Generative AI engines operate differently — they synthesise information from multiple sources and prioritise signals that help them construct coherent answers.

Michael John explains:

Instead of prioritising keywords and backlinks, GEO increasingly emphasises brand authority, contextual relevance, narrative clarity, and content freshness.

For LOOP, two signals currently stand out as particularly important for AI visibility:

• Strong brand and entity signals
• Content recency and ongoing relevance

This suggests that GEO may ultimately shift optimisation strategies away from technical ranking signals toward authority, clarity, and contextual relevance.

Measuring GEO Performance

Measurement remains one of the most complex aspects of GEO strategy.

Unlike traditional SEO, where rankings and traffic provide clear indicators, GEO performance often requires analysing patterns of AI citation, brand presence, and narrative influence inside generative answers.

For LOOP, two indicators currently play a central role:

• AI Share of Voice in generative responses
• ������ýŮ�� authority and positioning within AI answers

This measurement challenge is one of the most common obstacles as agencies experiment with GEO services.

Generative Engine Optimization Tools & Platforms

Across the generative AI ecosystem, LOOP considers several platforms critical for GEO visibility.

The agency identifies the following as critically important:

• ChatGPT
• Gemini
• Google AI Overviews
• Perplexity
• Claude
• Grok
• Microsoft Copilot

DeepSeek currently plays a smaller but still relevant role.

Current tools include:

• Ahrefs
• RankPrompt
• Scrunch AI
• Rankability

Limited transparency from AI platforms continues to make it difficult to fully understand how generative engines select and cite sources.

The Future of GEO

“GEO will become the invisible layer powering all search decisions.”

If this prediction proves correct, visibility inside AI-generated answers may eventually become as important as traditional search rankings.