NetContentSEO Research & Publishing

Articles

Research, experiments and analysis on AI visibility, generative search, SEO and how artificial intelligence systems understand the web.

The AI Image That Stayed With Me
AI Labs Aug 8, 2026

The AI Image That Stayed With Me

Sometimes an image says more than a thousand prompts. A few days ago I published an experiment on NetContentSEO AI Labs where I asked seven different AI models...

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If AI Could Be Human for a Day: Comparing Different LLMs Through One Question
AI Labs Aug 7, 2026

If AI Could Be Human for a Day: Comparing Different LLMs Through One Question

We asked the same question to different AI systems to compare how they interpret one of the most complex concepts humans experience: being human. The questio...

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Do LLMs Prefer Recognizable Authors? Exploring the Role of Authorship in AI Search
AI Labs Aug 7, 2026

Do LLMs Prefer Recognizable Authors? Exploring the Role of Authorship in AI Search

For a long time, search engines have evaluated content mainly through signals connected to the page itself: relevance, links, structure, technical quality and t...

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We’re Asking the Wrong SEO Question: AI Search Is Changing the Meaning of Visibility
AI Labs Aug 7, 2026

We’re Asking the Wrong SEO Question: AI Search Is Changing the Meaning of Visibility

For most of the history of SEO, the central question was simple: how do we get a page to rank higher? The entire industry grew around that question. We built s...

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We're Asking the Wrong SEO Question: AI Search Is Changing the Conversation
AI Labs Aug 6, 2026

We're Asking the Wrong SEO Question: AI Search Is Changing the Conversation

For years SEO focused on rankings and clicks. AI Search introduces a different question: why does an AI choose one source over another? For most of the history...

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Do LLMs Prefer Recognizable Authors? Early Signals, Tests and Open Questions
AI Labs Aug 6, 2026

Do LLMs Prefer Recognizable Authors? Early Signals, Tests and Open Questions

For years, SEO has focused on helping search engines understand documents. We optimized pages, structured content, built internal links, improved crawlability,...

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Why AI Doesn't Always Need a Bigger Model
writing Aug 6, 2026

Why AI Doesn't Always Need a Bigger Model

Many people assume a larger AI model always produces better answers. In reality, memory, retrieval and architecture often matter just as much. One of the bigge...

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One Prompt. Six AI Models. Which AI Explained AI Search Better?
AI Labs Aug 6, 2026

One Prompt. Six AI Models. Which AI Explained AI Search Better?

We asked the same AI Search question to ChatGPT, Gemini, Perplexity and three Ollama models. Here's how each AI answered and what we learned from the comparison...

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Why Did Google AI Overview Choose a Product Page Instead of the Most Complete Article?
Google Aug 6, 2026

Why Did Google AI Overview Choose a Product Page Instead of the Most Complete Article?

A real-world case study exploring why Google AI Overview cited a product page about Bucchero instead of a more comprehensive article. What this may reveal about...

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How Do You Train a Remote AI? Understanding How Modern AI Systems Learn
AI Labs Aug 5, 2026

How Do You Train a Remote AI? Understanding How Modern AI Systems Learn

When people say they want to "train an AI," they often imagine feeding information into a model until it becomes smarter, almost like teaching a person new skil...

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What Is RAG Memory? Why Modern AI Doesn't Need to Remember Everything
AI Labs Aug 4, 2026

What Is RAG Memory? Why Modern AI Doesn't Need to Remember Everything

If you've ever wondered how an AI can answer questions about documents it has never seen during training, you're already asking one of the mos...

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