I see advanced architecture as much more than a technical framework now. It shapes whether my content can be found, understood, and surfaced by search engines and AI systems.
That is why I am paying close attention to the next SMX Now on July 15, featuring Shari Thurow, co-founder, information scientist, and search director at the Information Architecture Gateway. She will explain how advanced architecture really works and where many AI, SEO, and site development workflows tend to fall short.
In this session, I will explore a five-phase framework Thurow has tested through decades of client work with organizations including Microsoft, Google Cloud, Abbott Laboratories, CVS Pharmacy, WebMD, Sony Music, the Library of Congress, Best Buy, and Merriam-Webster. I will learn how architecture decisions influence labeling systems, wayfinding networks, taxonomy, wireframes, and AI access to valuable content.
I also expect the session to challenge some long-standing assumptions, including the three-click rule, the idea that taxonomy is only a hierarchy, and the belief that AI can create effective wireframes without a deeper architectural model behind them.
Old search marketing tools give way to a faster, connected future, with data streams, AI icons, and a glowing search hub symbolizing SEO innovation and community growth.
By the end, I will have a practical framework for building sites that communicate more clearly with users, search engines, and human-centered AI systems.
When I started my journey on the web, creating websites was pretty straightforward. We crafted sites like “filing cabinets,” centered around a grand entry known as the homepage. This was the gateway through which visitors would navigate to discover the information they were seeking.
With the advent of SEO, everything took a turn. Each page evolved into a potential entry point, allowing visitors to land directly on the page most relevant to their needs.
But today, as AI tools like Gemini and ChatGPT become prevalent, the dynamics are shifting once more. These tools are transforming user behaviors, often bringing them back to our homepages for their searches.
Therefore, the homepage is regaining its significance as the cornerstone of SEO. It’s crucial to revisit robust information architecture practices to effectively capture and convert this newfound traffic.
In the early 2000s, as search engines became the main source of site traffic, we had to adapt quickly, overlaying SEO strategies on our knowledge of web architecture. This evolution changed the navigation path, leading users directly to inner pages or blog posts and then routing them back to our desired products or services.
While the homepage remained important, it shifted focus to branding and general keywords rather than trying to cover every possible detail. We concentrated on specific, high-converting long-tail content.
Even so, as AI redefines the landscape, the pendulum swings back, reminding us of the value our homepage brings.
AI tools now handle much of the research and summarization, redirecting users to our branded searches and homepages. However, without insights into these users, it becomes paramount to have a homepage ready to guide them effectively, or risk losing them to competitors.
Past lessons steer us back to tackling these challenges head-on.
Traditionally, every page served as a potential landing page, each designed to direct visitors along a purchasing funnel – from informational content to case studies.
Yet, with AI providing immediate answers, the traditional click-through rate for deeper informational content is declining. Users skip straight to branded searches once convinced of our brand’s authority, arriving on our homepage ready for the next step, albeit with less direct data on their preferences and needs.
We must resurrect our approach to information architecture, highlighting logical grouping, structural context, and a strong user path.
Logical grouping means organizing content into distinct categories that are easy to navigate, avoiding convoluted labels.
Structural context ensures AI tools recognize our content as authoritative by maintaining a comprehensive framework across SEO, PPC, and AI avenues.
The 3-click rule — ensuring users find any information within three clicks — is a vital performance indicator, one AI and users appreciate alike.
For successful AI-driven user engagement, we must balance our site’s structure for both human and AI interaction, ensuring smooth navigation and intuitive content access.
The ALCHEMY framework provides a strategic path to designing a site that meets the needs of both audiences, starting with audience research and journey mapping.
