The structure of a website determines how search engines crawl, understand, and rank its pages. Optimizing this structure for organic SEO is no longer limited to organizing categories and subcategories in a navigation menu.
Since the confirmed rollout of AI Overview and Google AI Mode in France between late June and September 2026, the game has changed: a well-structured site must also facilitate the extraction of answers by Google’s artificial intelligence models.
Structuring a site for AI extraction, not just for crawling
Guides that address site structure for SEO often stop at the same point: logical hierarchy, clean URLs, internal linking. These fundamentals remain valid, but they are no longer sufficient to guarantee visibility.
With AI Overview, Google generates answers directly in the results page based on sources it deems reliable and well-organized. For a site to be selected as a source in these answers, the structure must allow for answer extraction by a model. Content organized into pillar pages linked to satellite articles, enriched with verifiable data and structured FAQs, increases the chances of citation in these AI surfaces.
In practical terms, this means that each page must answer an identifiable question, with a hierarchy of headings that reflects the logic of the query. To observe how a professional site organizes its pages and levels of depth, one can view the structure of the Maestro Business site and see the categorization logic adopted.
An XML sitemap remains useful for crawling, but it does not replace a semantic architecture designed for automated content understanding.
Click depth and crawl budget: the underestimated technical constraints
Click depth refers to the number of clicks needed to reach a page from the homepage. A page accessible within three clicks has a higher chance of being regularly crawled by Google’s bots. Beyond this threshold, the crawl frequency decreases, and some pages may never be indexed.
This issue is directly related to the crawl budget, which is the number of pages Googlebot will explore on a site during a given session. A site with a structure that multiplies levels of subcategories wastes this budget on intermediate pages that are of little use for SEO.
Reducing depth without flattening everything
Completely flattening a site (all pages at the same level) is also not the right approach. A flat structure prevents Google from understanding the thematic relationships between contents. Contextual internal linking, with links placed in the body of the text to complementary pages, helps guide the crawl without creating artificial levels.
- Limit the structure to three levels of depth for pages targeting high-volume keywords
- Link satellite pages to their pillar page through contextual links in paragraphs, not just in the menu
- Remove or merge low-value pages (duplicate filters, tags without unique content) that dilute the crawl budget
Field feedback varies on the optimal number of internal links per page. Some SEO consultants recommend not exceeding a hundred links per page, while others consider this limit outdated for several years. The available data does not allow for a universal threshold, but the logic remains the same: each link must have utility for the visitor or for the bot.
Pillar pages and semantic cocoon: structuring for thematic relevance
The concept of a pillar page is based on a simple principle: a main page covers a broad topic and links to satellite pages that each address a sub-aspect. This organization allows Google to understand that the site has a deep thematic expertise in a given area.
The semantic cocoon goes further by organizing internal links according to the semantic proximity of the contents. Instead of linking all pages together, only pages with logically related topics are connected. This approach concentrates the “link juice” on the pages that need it most.
What the semantic cocoon changes for AI results
With the arrival of AI Overview in France, a well-constructed cocoon increases the likelihood of being cited as a reliable source. Google’s AI model favors sites that demonstrate comprehensive coverage of a topic with consistent information from one page to another. A site whose structure allows navigation from a general concept to its specific variations replicates the reasoning logic that the model seeks to reproduce.
On the other hand, a site that publishes scattered content without structural links between them will be less easily identified as an authority source on a topic, even if each page taken in isolation is well optimized.
Decline in organic click-through rate: structuring for conversion, not just for traffic
Since 2024, several analyses document a decline in the organic click-through rate on Google search results. AI-generated answers satisfy part of the informational queries directly in the SERP, without the user needing to click.
This evolution has a direct consequence on how to think about the structure of a site. Attracting traffic through purely informational pages is becoming more difficult. The pages that best retain their click potential are those that offer content that AI cannot summarize in a few lines: detailed comparisons, interactive tools, proprietary data, specific use cases.
- Identify the site’s pages whose content is likely to be fully summarized by AI Overview and enrich them with non-extractable elements (comparison tables, annotated visuals, exclusive data)
- Position transactional or commercial pages one or two clicks from the homepage to maximize their crawl and visibility
- Link informational pages to conversion pages through internal links that naturally guide the user journey
The structure of a site in 2026 no longer serves solely to capture positions in classic results. It must also organize the journey between the first visit and the desired action because each organic visit is more valuable than before the widespread adoption of AI responses.
Reconsidering the architecture of one’s pages while integrating these constraints takes time, but sites that commit to this now have a structural advantage over those that continue to apply pre-2024 recipes. The question is no longer whether Google uses AI to respond to users, but how to organize your site to remain a source that this AI chooses to cite.