Editorial SEO for GEO: creating content to be visible in the AI Search era

The paradigm shift: from traffic to authority

While in traditional search the primary goal was to obtain traffic volumes by intercepting informational queries, in the new AI-based search paradigm these assets represent one of the fundamental pillars for establishing brand authority in the eyes of LLMs and ensuring presence and visibility across AI-based touchpoints.

Today, covering specific thematic areas is not solely functional to organic ranking, but becomes essential for controlling the narrative and storytelling through which LLMs perceive and describe the brand.

The principle is simple: if the brand itself does not provide clear and authoritative information, LLMs will still draw from third-party sources to answer users’ questions.

In other words, the narrative around the brand exists regardless — the only question is who controls it. Building an AI-ready editorial area means answering this question proactively. Here’s how to do it in four steps.

Step 1: Analyze search intent and users’ real prompts

AI search does not work on keywords but is based on complex conversational structures. The first step in building an effective editorial area is understanding how people formulate these requests in natural language, and grouping recurring prompts around the same thematic areas or the same informational needs.

This work of prompt analysis and mapping cannot be separated from an in-depth study of the audience: only by understanding the characteristics, expectations, and informational needs of the target audience is it possible to identify the real prompts that people use and build meaningful thematic clusters.

Prompt analysis and mapping is essential for guiding the strategic selection of topics to be covered within the editorial area.

Step 2: Identify the ideal match between intent and content format

Not all content satisfies different types of searches equally. Each intent must be matched with the most effective editorial format to address it. Here are some examples:

Informational Deep Dive: The user searches for information about a specific feature, functionality, or distinctive element.
> Create Explanatory Articles/Guides or in-depth Editorial Pages

Decision Support: The user searches for information about the difference between two products, or detailed information on size and fit.
> Create Comparison Pages or Buying Guides

Practical Resolution: The user searches for information on a specific task, such as how to care for a product after purchase, or how to verify product authenticity.
> Create How-to Pages, tutorials, step-by-step practical guides

Step 3: Build thematic depth

AI engines use the query fan-out technique: when they receive a complex question, they break it down into a series of related sub-questions and look for answers to each one. A brand that only covers the main question, but not its branches, remains only partially visible.

Organize the editorial area into thematic clusters: create a main Pillar page that addresses a macro-topic and develop satellite pages to cover every individual facet in depth, linking them together with strong cross-linking.

Step 4: Apply optimization and writing techniques for LLMs

Writing for AI Search requires some precise technical considerations that go beyond classic SEO guidelines.

• Optimize for “Chunks”, not for pages: Structure each paragraph so that it expresses a single idea, is self-contained, and is understandable independently of the rest of the page’s context. Subheadings are not just for visually structuring the text: they guide AI models in identifying and extracting relevant information.
• Optimize for concise response rather than direct response: Summarize complex concepts at the opening and then expand on them, favoring a factual tone and natural language. The Q&A format is ideal as it organizes information into clear blocks that are easily extractable by LLMs.
• Optimize for citable authority: Use fact-based statements, and where available include tangible data and links to official sources or documentation to build authority.

The editorial area has never been a secondary asset in an ecommerce’s digital strategy, but in the AI Search era, it becomes one of the most critical ones.

Explore our GEO approach and discover how we are reshaping brand visibility.