How to Design a Website That Performs Better in Google’s New Generative AI Search

1. Structure Your Content for AI Extraction

Google’s AI is essentially a sophisticated content parser. It looks for clear, extractable answers structured in a way it can synthesize quickly.

What this means for your design and content:

• Use H1, H2, H3 hierarchy religiously – every page should have one H1, logical H2 sections, and H3 sub-points.
• Write direct answer paragraphs at the start of each section. Lead with the answer, then explain.
• Use FAQ sections, definition boxes, and summary tables – these are AI gold.
• Implement schema markup (FAQ schema, Article schema, HowTo schema) to make your content machine-readable.

A strong SEO-friendly website structure isn’t just about sitemaps anymore – it’s about organizing your entire site in a way that tells Google’s AI exactly what you’re an authority on.

2. Master the Elements of Good Website Design for Trust and Authority

Google’s AI heavily weights EEAT — Experience, Expertise, Authoritativeness, and Trustworthiness. And your design communicates EEAT signals before a user reads a single word.

The elements of good website design that signal trust to both users and Google’s AI include:

• Author bios with credentials – every article should have a named, credentialed author with a photo and links to their professional profiles (like LinkedIn).
• Trust indicators above the fold – certifications, awards, client logos, review counts.
• Clear “About” and contact pages – Google’s AI crawls these to verify legitimacy.
• Consistent brand identity – the right color palettes and typography build subconscious trust. Studies show users judge a website’s credibility within 50 milliseconds – largely based on visual design.
• Testimonials with specifics – not “Great service!” but “Mandy Web Design increased our organic traffic by 140% in 6 months.”

EEAT Benchmark: According to Google’s Quality Raters Guidelines (2024 update), pages lacking clear author authority and trust signals are increasingly downgraded in AI Overview citations, even when content is technically accurate.

3. Go Deep on Topical Authority – Not Just Individual Keywords

One of the most significant shifts I’ve seen since AI Overviews launched: Google no longer rewards individual optimized pages as much as it rewards websites that comprehensively cover an entire topic.

This is called topical authority, and it’s built through a cluster strategy:

• Pillar pages – comprehensive guides on broad topics (e.g., “The Complete Guide to Web Design”)
• Cluster pages – deep dives on subtopics that link back to the pillar (e.g., “How to Choose the Right Web Design Layout,” “Understanding Design Typography,” “How to Fix Design Issues on Your Website”)
• Strong internal linking between all related pages

The web design layout of your topical clusters matters too – each page should make it easy for users (and AI crawlers) to navigate to related content.

Topical authority benchmark: Websites with 15+ interlinked pages covering a single topic are cited in AI Overviews at nearly double the rate of websites with isolated content, according to a 2024 study by Semrush.

4. Build a Mobile-First, Frictionless User Experience

Google’s AI search experience is predominantly accessed on mobile. Over 63% of Google searches now come from mobile devices (Statista, 2024), and Google’s mobile-first indexing means your mobile site is your site in Google’s eyes.

A mobile-responsive website that performs well in AI search needs:

• Thumb-friendly navigation – menus, buttons, and CTAs sized and positioned for one-handed use.
• Readable font sizes – minimum 16px body text on mobile; no pinch-to-zoom required.
• Streamlined content hierarchy – the most critical information within the first screen.
• Tap targets with adequate spacing – Google penalizes pages where interactive elements are too close together.

Improving website UX goes beyond aesthetics – every friction point (slow-loading images, confusing navigation, hard-to-find contact forms) sends negative engagement signals to Google that suppress your AI search visibility.

Survey insight: Forrester Research found that a well-designed UI can increase conversion rates by up to 200%, while a better UX design can yield conversion rates up to 400% higher. In an AI search world where you get fewer clicks, converting the clicks you do get is more critical than ever.

5. Achieve Core Web Vitals Excellence – Or Get Left Behind

If there’s one area where design decisions have the most direct, measurable impact on AI search performance, it’s Core Web Vitals.

Google’s three Core Web Vitals metrics are:

Design choices that directly impact Core Web Vitals:

• Hero image size and format – use WebP or AVIF; lazy-load images below the fold. Image optimization alone can cut LCP time by 40–60%.
• Font loading strategy – use font-display: swap to prevent invisible text during font load.
• Third-party scripts – every marketing pixel, chat widget, and analytics tag adds load time. Audit and defer non-critical scripts.
• Layout stability – always specify image dimensions in HTML to prevent layout shifts.

I regularly use Google PageSpeed Insights, GTmetrix, and Chrome UX Report data to benchmark client sites. The target: Green scores (90+) across all Core Web Vitals on both mobile and desktop.

To improve website speed, here’s my standard client checklist:

• Enable server-side caching
• Use a CDN (Content Delivery Network)
• Minify CSS, JavaScript, and HTML
• Compress images before upload
• Eliminate render-blocking resources

6. Conduct Regular Website Health Audits

AI search visibility isn’t set-and-forget. Google’s AI continuously re-evaluates websites, and technical issues can silently destroy your rankings overnight.

Monitoring website health should be a monthly discipline. Key areas to audit:

• Crawlability – can Google’s bots access all your important pages?
• Broken links and 404 errors – these signal neglect and hurt trust.
• Duplicate content – AI models penalize sites with thin or duplicate pages.
• Structured data errors – validate schema markup in Google’s Rich Results Test.
• Security (HTTPS) – non-HTTPS sites are flagged by browsers and deprioritized by Google.
• Indexation status  – use Google Search Console to ensure your key pages are indexed.

7. Use Design Typography to Improve Readability and Dwell Time

Design typography is often the most underestimated factor in both user experience and AI search performance. Here’s why it matters:

• Dwell time (how long users stay on your page) is a key behavioral signal Google’s AI uses to evaluate content quality.
• Poor typography – tiny fonts, low contrast, cramped line spacing – drives users away, increasing bounce rate.
• Well-structured typographic hierarchy helps AI crawlers understand the relative importance of content on your page.

My typography benchmarks for AI-search-optimized pages:

• Body text: 16–18px, line height 1.6–1.8
• Heading contrast ratio: minimum 4.5:1 against background
• Maximum line length: 70–80 characters for desktop readability
• Use no more than 2–3 typefaces per site for visual consistency

8. Fix Design Issues Before They Cost You Rankings

Many websites I audit have persistent design issues that quietly erode their AI search performance. The most common:

• Intrusive pop-ups  – Google penalizes pages with interstitials that block content, especially on mobile.
• Auto-playing video with sound – immediately increases bounce rate.
• Cluttered navigation – more than 7 top-level menu items confuse users and dilute crawl priority.
• Low-contrast text – hurts accessibility scores, which Google factors into rankings.
• Missing alt text on images – AI crawlers can’t read images; alt text is how they understand visual content.
• Unoptimized above-the-fold area – if users don’t see immediate value in the first viewport, they leave.

I recommend quarterly design audits using tools like Screaming Frog, Hotjar (for heatmaps), and Google Search Console to identify and prioritize design issues before they compound.

9. Align the Website Design Process With AI Search Goals From Day One

Most web design projects I see are built around aesthetics first, SEO second, and AI search optimization not at all. That approach is backward in 2025.

The website design process I use with every client now follows this sequence:

1. Discovery & keyword/intent mapping – what questions is your audience asking? Build content around answering them definitively.
2. Information architecture – design your site structure around topical clusters, not just pages.
3. Wireframing with content hierarchy – plan where trust signals, CTAs, and structured content will live before design begins.
4. Visual design – aesthetics that reinforce brand trust and guide user attention to key content.
5. Development with technical SEO baked in – schema markup, performance optimization, mobile-first code.
6. Launch + Core Web Vitals validation – don’t go live until you’re in the green.
7. Ongoing monitoring and iteration – AI search is a moving target; your website strategy must be too.