How AI Browsing Changes Website Design

OpenAI doesn’t launch a browser. It declares war on the Google search bar. For 20 years, the web starts in a box you type into. OpenAI Atlas, Perplexity Comet and The Browser Company Dia bets on a space you work inside. Not tabs. Actions. This isn’t a browser. It is an action layer. It changes the job for founders and designers. For Founders: Your product isn’t the destination. The AI is the destination. Ask: How does my product plug into the AI’s conversation? Ask: How does it become an action the AI uses? For Product Designers: You don’t design static pages. You design agent-ready workflows. You ship conversational outputs. The UX lives inside the conversation. This is the biggest shift in a decade. Search to conversation. Pages to agents. Destinations to actions. The insight: The old web is a library you read. The new web is a team of agents you direct. --- Hi, I’m Ali Abid 🧩 I post weekly about design, leadership, AI, and lessons from building real products. I help AI and SaaS founders design products their users love

Most AI stacks are noisy. This one’s built to perform. In 2025, high-performing GTM teams aren’t chasing more tools. They’re curating the right ones. Here are the AI agents that actually move the needle across four key layers: Content Creation → ChatGPT for long-form drafts and outlines → LinkDrip for CTA overlays and retargeting → FeedHive for social scheduling and repurposing → Flux Pro for AI-powered visual design Support Ops → AWS SES for transactional email at scale → NocoDB for smart spreadsheet workflows → Airtable for flexible content and ops management Blog Workflows → SerpApi for live SEO data → Strapi for headless CMS → n8n for automated publishing → GPT to Search for AI-powered research Product & Feedback → GitHub for version control → Cursor for AI in your IDE → Cline for product feedback and research These aren’t just tools. They’re your GTM co-pilots. Save this if you’re rebuilding your 2025 stack the smart way. Drop your favorite AI tool below and let’s compare notes.

With the announcement of "Atlas' the OpenAI new browser, there are many changes to be expected to the way we 🎉‘shop,’ the way ‘brands’ are positioned and the least, the way we ‘browse.’ The ability of the AI powered browser to have: ‘Memory’ & ‘Interaction’ is going to affect the 'consumer behavior' from Discovery to Curation resulting in very short and 2 stepped buying cycle. It is fundamentally going to change the traditional search to an extent of even skipping websites themselves. Search results will be no more the 'blue links' but only a single 'synthesized' answer. and yes, the 'personalization ' angle that is going to be ‘hyper’ as the AI layers remembers, personalizes and filter information dynamically. May be in the short to medium term impact wise: ·      There will be ‘Fewer’ Direct website visits (impacting #D2C business directly) and SEO might become irrelevant. There will more interactions via AI summaries or voice assistants. Consumers may never visit the domain but only see the ‘AI knowledge’ graph presence. ·      Brands will have to ensure that they are to be mentioned in ‘AI training data’ or ‘trusted reviews’ to appear in the AI Optimization search. This should act as a catalyst for new ‘AI Native’ website designs for relevance and brand visibility. Having extensively using Perplexity’s Comet, I am really excited to the launch of Atlas, to the short 'search windows' and 'impulsive' shopping !

Google is reportedly testing a change to its AI Overviews - when you click “Show More,” it now jumps straight into AI Mode instead of expanding the summary with source links. On the surface, it’s a small UX tweak. But if this rolls out, it could mean less visibility for publishers and fewer opportunities for users to reach original sources. As someone who works closely with content, SEO, and digital experience, I find this shift concerning. AI summaries are useful, but when they start replacing the path to the original creators, it challenges the ecosystem that fuels the open web. Thoughts?

OpenAI just launched an Agent Builder. Thousands of startups just got commoditized overnight. AI is moving faster than most founders can build defensibility around it. But here's what the sharpest builders are doing differently: 1. They own the data APIs are rented assets. Your proprietary dataset is what actually compounds over time. → throxy (YC W25) doesn't rely on LinkedIn or Apollo—they scrape their own data. Each interaction strengthens the product and raises the bar for competitors. 2. They build a UX moat When the underlying tech becomes a commodity, user experience is your edge. → Granola/Fireflies is a meeting recorder at its core, but the interface is what makes it stick. Delightful, fast, frictionless—it feels purpose-built for *you*, not some bloated enterprise system. Great UX creates loyalty when everyone else is building clones. 3. They empower non-technical users Real defensibility? Letting everyday people do what only specialists could do before. → Lovable democratized brand design. Non-designers now generate complete visual identities in minutes—no agency required. 4. They move up the stack Commoditized infrastructure loses. Winners wrap it into workflows people already depend on. → Perplexity launched as a research tool. Now they're building an AI-native browser. When you own someone's daily search behavior, you've built long-term defense. 5. They go deep, not wide Horizontal tools die fast. Vertical dominance in narrow use cases wins markets. → ElevenLabs zeroed in on voice AI. They didn't chase everything—just becoming the best at one thing. Now thousands of creators and companies depend on them. What strategies am I missing here?

From Search Engines to Generative AI: The Many Crawlers Visiting Your Website Most websites are visited by far more than just human users. An invisible crowd of crawlers, spiders, and bots constantly travels through web pages, collecting data for search engines, SEO platforms, social media sites, and now generative AI systems. Understanding who these bots are and how they behave helps developers maintain visibility, monitor performance, and guard their resources. A crawler is a program that automatically visits pages, follows links, and collects data. It can serve different goals: indexing websites for search results, analyzing site performance, training AI models, or checking compliance. Each crawler identifies itself in your server logs with a distinctive user agent name. Googlebot Used by Google Search to index pages across the web. Google runs multiple versions for desktop and mobile, ensuring it captures mobile-first content accurately. Bingbot Operated by Microsoft, Bingbot indexes web content for Bing and also powers search features for platforms such https://lnkd.in/gcsw_WY8

What OpenAI demonstrated recently: Your AI startup won’t survive on API calls alone. Top founders know: great prompts aren’t a moat; anyone can copy them. The ones who win build defensibility in 5 ways: → Own the data Throxy scrapes its own info. Every use improves the product and makes it harder to copy. → Go deep, not wide ElevenLabs focused solely on voice and now leads the industry. → Build a UX moat Granola’s slick, fast interface keeps users coming back. If your product’s just a wrapper, it won’t last. Ask: what improves every time someone uses it? Build from there.

When AI Gives You the Opposite of "The Man Your Man Could Smell Like" 😂 We've all heard the buzz about Prompt Engineering and Generative AI. So, we gave it a shot: we asked an AI model to create a high-impact ad for widget doo, specifically instructing it to capture that bizarre, over-the-top, and unexpectedly hilarious Old Spice Commercial energy. The result? Well... it was unexpected, but definitely not the viral hit we imagined. The video we're sharing today is the unedited, weirdly-paced, and slightly awkward product of that prompt! Why share a video that didn't work? Because it perfectly illustrates a key point: Great digital strategy and creative work still require a human touch. AI is a fantastic tool for Web Development, coding assistance, and generating initial ideas, but translating a complex brand vision—like "Old Spice Energy"—into a successful, targeted Digital Marketing campaign takes human creativity, industry insight, and precise execution. Need a digital partner who can turn your complex vision into a polished success (with or without AI's help)? See our successful projects in our Portfolio! Ready for a real, human-engineered solution? Contact us for IT Services or Custom Web Development. #AI #PromptEngineering #MarketingFail #WebDevelopment #ITSolutions #DigitalMarketing #CreativeAdvertising #WidgetDOO

🚀 In the age of AI, every click counts—your website is the battlefield and data is your ammunition. 1️⃣ **Speed is survival** – If a page takes longer than 2 seconds to load, half the visitors will leave before they even see what you’re selling. Optimize images, minify CSS/JS, and ditch that bloated plugin library. A lean site isn’t just faster; it’s smarter because AI tools can crawl and index it more efficiently. 2️⃣ **Less is more** – Clean code means fewer bugs, easier maintenance, and better user experience. Think of your front‑end as a well‑tuned instrument: every keystroke should produce the right note, not background noise. 3️⃣ **Data isn’t just data—it's gold** – AI thrives on patterns. The more high‑quality signals you feed it (clicks, scroll depth, time on page), the sharper your predictions become. Turn analytics into actionable insights that drive personalization, dynamic pricing, and real‑time content adjustments. 4️⃣ **Security is a non‑negotiable feature** – With AI scraping data faster than ever, vulnerabilities can expose sensitive user information in milliseconds. Regular audits, HTTPS everywhere, and zero‑trust architectures protect both you and your audience. 5️⃣ **Accessibility isn’t optional** – An inclusive design expands your reach and feeds AI models with richer, more diverse data sets. Think alt text, proper ARIA roles, and contrast ratios that meet WCAG standards. 6️⃣ **Content quality trumps quantity** – AI can generate content at scale, but it’s the human touch—tone, nuance, storytelling—that differentiates a brand. Use AI to assist, not replace, creative processes. 7️⃣ **Mobile-first is now mobile-only** – The majority of traffic comes from smartphones. Optimize for small screens first; this forces you to streamline UI/UX and improve load times. 8️⃣ **Serverless architecture scales with AI workloads** – By decoupling compute from servers, you can dynamically allocate resources for heavy inference tasks without overpaying during low‑traffic periods. 9️⃣ **Continuous integration & delivery (CI/CD) fuels rapid iteration** – Automated pipelines ensure that every tweak—whether a new AI model or a UX update—is deployed safely and quickly. 🔟 **Ethics should be baked in from day one** – Bias, transparency, and user consent aren’t afterthoughts. Build governance frameworks that guide data usage and model decisions. 💡 The reality? AI isn’t just a buzzword—it’s reshaping how we build, optimize, and grow digital experiences. Every decision you make today can either amplify or dilute the power of these tools tomorrow. 👉 Want to stay ahead in this rapidly evolving landscape? Click on my profile photo and follow for daily insights that turn data into advantage. Let's shape the future together!