Is "LLM SEO" a real strategy or just search engine logic in disguise?

[megri]

There's a growing body of advice around optimizing content for LLMs — but most of it treats AI models like search engines with new ranking factors. That ***umption might be fundamentally wrong.

A few questions worth discussing:

1. If LLMs don't rank content the way search engines do, what does "AI visibility" actually mean for marketers and publishers?
2. How are you thinking about the difference between training data influence (long-term brand ***ociation) and runtime retrieval (live search results fed into AI responses)?
3. Is co-occurrence a concept your team is actively strategizing around — or is it still too abstract to act on?
4. What's working for you right now when it comes to showing up in AI-generated answers?

Would love to hear perspectives from both technical SEOs and content strategists — this feels like a topic where both disciplines need to talk more.

Full breakdown here: https://www.megrisoft.com/blog/artif...o-optimize-for

Suggested tags/category: AI Marketing, SEO Strategy, Content Strategy, LLMs

[Tanjuman]

“LLM SEO” isn’t an entirely new strategy—it’s mostly cl***ic search engine logic wearing a new label. The fundamentals haven’t changed: clear structure, strong internal linking, relevant content, and topical authority still do the heavy lifting.

What has changed is how content is interpreted and surfaced. Large language models prioritise context, relationships between topics, and clarity of information more than ever. That means content needs to be structured in a way that’s easy to understand, summarise, and cite—both for users and AI systems.

So rather than treating “LLM SEO” as something separate, it’s better to see it as an evolution of SEO. Focus on creating well-organised, genuinely helpful content, use natural language, answer real questions clearly, and build strong content clusters. In short, it’s less about gaming the system and more about making your content truly useful and easy to interpret.

[Russell]

AI visibility is less about position and more about whether your brand is consistently present in the model’s learned context or retrieved sources. We’re focusing on clear topical authority, structured content, and brand mentions across trusted sites. Co-occurrence matters, but only when tied to genuine expertise and consistent narrative signals.