GEO for Different LLMs: What Changes and What Stays the Same
You've created expert content, built links and added structured data. Becoming visible in AI-generated answers requires a broader understanding of how different AI systems discover and interpret information.
ChatGPT, Perplexity, Gemini and other LLM-based systems operate through different combinations of web search, proprietary databases and information acquired during training. These differences influence which signals matter most for visibility. The underlying principles of GEO, however, are broadly shared.
How Different LLMs Get Information
The most important distinction is the way an AI system accesses information.
Training-Based Models
Some LLMs, including Llama-based systems when used without search, primarily rely on information absorbed during training. There is no live website search in this scenario - brand recognition, authoritative publications and credible mentions across the web therefore play a particularly important role.
Search-Based AI
Perplexity searches the web and draws on external sources to formulate its responses, usually displaying citations to the pages it uses. Here, traditional SEO remains highly relevant - your website needs to be accessible to search systems, while the content itself needs to be sufficiently useful and authoritative to become a source for an AI-generated answer.
Hybrid Systems
ChatGPT and Gemini combine language models with web search capabilities. ChatGPT can search the web for up-to-date information, while Google's AI search experiences build on Google Search infrastructure.
For businesses, this means that a solid SEO foundation increasingly works together with GEO: visibility in search helps make a brand discoverable, while relevance, authority and content quality influence whether its information is used in an AI-generated response.
What Is Different Between AI Platforms?
The differences are mainly related to how each system discovers information and which sources it tends to rely on.
| AI System | Main GEO Focus | What Matters Most |
|---|---|---|
| ChatGPT | Web visibility + authority | Search access, useful content and credible external mentions |
| Perplexity | Search visibility + source selection | Search accessibility, relevance and content worth citing |
| Google AI Overviews / AI Mode | SEO + content quality | Crawlability, indexing, structured data and original useful content |
| Claude | Quality of available sources | Clear, authoritative content and credible external references |
| Llama-based systems without search | Brand recognition | Strong third-party presence and authoritative information |
For a business owner, the distinction is fairly simple: the GEO foundation is shared, but the emphasis changes depending on where your customers are likely to encounter your brand. Search-based systems make website accessibility and content quality particularly important. Systems that draw more heavily on external information place greater value on the reputation and visibility a brand has built beyond its own website.
What Stays the Same?
Despite these differences, AI systems tend to respond to the same fundamental signals.
Authority and Expertise
Cases, original research, meaningful data, expert commentary and credible references help establish a brand as a reliable source.
A Clear Brand Identity
Information about the company, products, services and expertise should be coherent across the web.
Relevance to User Intent
Content that addresses real customer needs, comparisons and decision-making scenarios has greater value than generic promotional material.
Original Information
Proprietary data, experience, research and analysis give AI systems substantive material to draw upon.
Up-to-Date Information
Important facts such as products, services, pricing and team expertise should accurately reflect the current business.
What This Means for Your GEO Strategy
GEO works best as an extension of an existing digital presence rather than as an isolated marketing activity.
A strong SEO foundation remains important, particularly for Google and other systems that rely on web search. Crawlability, indexing, structured data and genuinely useful content all contribute to discoverability.
At the same time, visibility beyond your own website becomes increasingly valuable. Industry publications, expert articles, reviews, directories and other credible references give AI systems more context for understanding and evaluating a brand.
For ChatGPT and Perplexity, website accessibility to their search systems is part of the picture, alongside content that provides clear, reliable information. For training-based or more closed systems, there are fewer direct technical levers, making brand authority and third-party recognition especially significant.
Across all platforms, the strongest position comes from a well-established and well-documented brand: clear expertise, useful original content, credible external recognition and accurate information throughout its digital ecosystem.
In this sense, GEO does not replace SEO. SEO provides much of the infrastructure for being discovered; GEO expands the focus to how AI systems interpret, evaluate and incorporate information into their answers. The specific emphasis may differ from one platform to another, but the underlying goal remains the same: make your brand easy for AI systems to discover, understand and recognise as a credible source.
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