Your homepage is also important for SEO – here’s why

In the early days of the web and my career, web design was simple: we built “stuffing cupboard” websites designed with a single, beautiful entry point. Visitors arrive at your home page, called the “front door,” and navigate the site to find what they need.

Then SEO came along and changed everything. Suddenly, every page becomes an entry point, and people can be directed to the page most relevant to their current need.

But today, in this area of ​​AI, it seems that things are changing again. Since users are now using AI tools like Gemini, ChatGPT, and crowdsourcing tools that may be embedded in our mobile devices, search engines, and browsers to manage the survey section, they are now more likely to stay on your homepage.

Your home page is once again the most important page for SEO, and we must revisit the time-proven studies of architecture to ensure that it can capture and convert this traffic.

How SEO has changed web design

In the early 2000s, as search engines evolved and became the primary source of website traffic, those of us in the field had to learn and adapt quickly.

We had to take what we know about information structure and layer on top of SEO thinking, which means that the traditional, linear route through the site from the homepage to the site has changed.

Now we have users coming very close to where we wanted them – usually on internal pages or blog posts – and then we’re driving them back to the right product or service we wanted to promote.

Homepages were still important, but they became a battleground of “must be everything to everyone” and could focus more on product and general keywords. Cash terms were often designed for more relevant, easy-to-view, converting long-tail blogs and product pages.

In short, we stopped worrying so much about the homepage, and our attention spread throughout the spider age of deep pages and ways to transform the wilderness. But the pendulum swings back.

Good AI modification

The long tail traffic information that kept those deep link landing pages is being swallowed by AI Overview and LLMs like Gemini, Perplexity, and ChatGPT.

AI tools now handle the heavy lifting – research, comparison, and summarization are easier than ever. When users finally visit your site, they don’t want more answers — they want you.

This change drives search by name, returning users to your home page. The problem is, while these users may be glowing with their research, we now know very little about them when they arrive.

If your information architecture isn’t ready to greet users on your home page and show them where they need to be, you’ll alienate yourself and lose those warm users and send them quickly into the arms of your competitors.

Fortunately, there are lessons from the past that can guide us forward.

Problem: Deep link erosion

In traditional SEO thinking, almost every page can be a landing page.

• Your informational content is a top funnel landing page that can direct people to your product or service pages.
• Your product or service pages are middle-of-the-funnel landing pages that can drive leads and sales.
• Your case studies and testimonials contain low credibility that can push people to make a final decision.

That way is losing power. The industry consensus is clear. Traditional click-through rates (CTR) are experiencing a significant decline as AI provides faster responses to search results.

When a user asks, “What are the benefits of a headless CMS?” they get a 300 word summary on AI. They no longer have to click on your “Headless CMS – Pros & Cons” blog post.

However, once the AI ​​has convinced them that your product is the leader in a headless CMS, they no longer search for the title. They are searching for your brand name. They land on your homepage – warm and friendly, inspiring, but we know very little about them. We lose the segmentation and context that deep landing pages provide.

The Psychology of AI: the path of least resistance

Humans are a lazy bunch, by design. When something makes our life easier, we want it, and our behavior changes. This helped us as hunter-gatherers, but now, with our cars, smartphones, food delivery, and many other modern conveniences, maybe not so much.

Search engines are one of the things that made our lives easier, at least for a while, and changed our behavior as things got easier.

Then, of course, we marketers got involved, competition increased, and the web was flooded with ads, scams, remarketing, and other tricks. In fact, finding things on the Internet often became a chore, making most marketing as much a sport as it was a science, skill, or art.

But AI is now making our lives easier again. No scrolling past ads, trying to figure out SERPs, avoiding hackers, identifying marketing content, and filtering out noise — just clean, simple answers. The change has brought chaos, but it’s also a much-needed reset for the web.

People now enjoy a non-confrontational research phase, and discussion, with the heavy lifting done by AI tools. Questions are answered, advice is given, options are summarized and compared. They can go further with a search by name, which usually brings them to this login page of the home page.

As Steve Krug famously argued in “Don’t Make Me Think” – a well-regarded long-standing book – users on the web behave like fodder. They smell information and take the path of least resistance. If they land on your homepage and don’t find their specific method, such as “business pricing” or “developer documentation,” within seconds, they’ll exit and bounce.

Things are different. Users can invest more time now after making the effort to enter the research phase, but you can’t expect to take users from a low-conflict AI environment to a place where they have to work hard to get things.

Your home page and comprehensive architectural experience will not fail. You have to let people know that they are in the right place, so that they trust you, then they put up a segment, a signpost, and direct them to their intended destination.

Solution: Filler cabinet space

To deal with this influx of front door traffic, we must go back to the basics of architectural knowledge.

Drawing from the definitive guide, “Information Architecture: For the Web and Beyond” (Polar Bear Book – another good read), we should treat our site structure like a filing cabinet.

• Logical grouping: Related content should be grouped into clear, concise categories. If your “Service A” and “Service B” are buried under a vague “What We Do” menu, you are creating a conflict. Keep it clear, and don’t confuse people with your good sign.
• Total structure: SEO may drive fewer people to your deep pages, but AI tools still run queries to identify information and pull content from your site through RAG. You still need content to be properly organized to ensure you cover all angles for SEO, AI, and PPC traffic.
• 3 click rule: Modern UX research, promoted by the Nielsen Norman Group (NN/g), emphasizes that users should be able to access any content with three clicks. In the age of AI, this is a non-negotiable performance metric, and you should measure these metrics in your calculations.

Remember, while users are coming directly to your homepage, AI agents are still running these deep searches and using your information, so traditional SEO is still important.

Initiation: The framework of ALCHEMY

It’s good to know all of this, but you also need a framework to help you put this process on the rails and build a website that’s optimized for people coming in the front door, search engines indexing and categorization, and AI crawlers hitting those deep pages.

The programming guide for the ALCHEMY website addresses this issue. It breaks down the process into seven strategic steps designed to bridge the gap between business strategy and technical performance:

• Audience research: Identifying people, categories, and activities.
• Reading: In-depth competitors and performance testing to see what works.
• Specify the purpose: Setting SMART goals so that the site has a purpose beyond just looking good.
• Hierarchy: Creating a visual sitemap and navigation.
• Important features: Explaining what you should have before coding.
• Mapping: Editing content and goals for each page.
• Reveal: It produces a final, battle-hardened, and marketable product for developers.

The process starts with audience intentionality – who are the key audience segments? And how does this inform site design and navigation?

The process then walks you through designing your site to work for users, search engines, and AI.

By following this method, you ensure that your home page and section pages are not just based on the opinion of the highest paid person in the room, but on the written needs of your audience driven by AI.

From AI recommendation to homepage conversion

Your website’s data structure now uses two experts – human users and AI agents. A clean, linear structure with clear taxonomies helps both navigate and interpret your site with confidence.

If AI reads your site and sees a well-organized filing cabinet, it’s more likely to recommend your product as an organized, authoritative source. Your site needs to consider two directions of the user journey:

• Front door: Users who arrive out of context, get what they want.
• Back doors: Users, search engines, and AI come directly to deep content.

For a website to be successful in 2026 and beyond, you must be accountable for both. Build strong architectural and SEO experience for front-door users and back-end search engines and AI visitors.

Don’t let your homepage be the end – turn it into a map.