RIP SEO. Today was the first time Google automatically pushed me into AI Mode for a basic search. I wasn’t on Labs. I didn’t opt in. No blue links. Just a clean AI-generated answer, with no website listings in sight. This isn’t an experimental feature hidden away anymore. It’s becoming the new default in our #AnswerEconomy. As someone who’s spent 20+ years leading web strategy and SEO efforts, I’ve never seen such a dramatic shift in how information is presented for search. We began moving beyond traditional SEO to GEO (Generative Engine Optimization) in late 2023. ChatGPT’s launch three years ago shifted the web from a search economy to an answer economy. At first, it felt like a challenge to Google’s dominance. (The number I’ve seen most often is that Google owns about 90% of the search market.) Last year, I asked myself whether “Google it” would still be a verb in 10 years. Now, after seeing Google’s AI Mode in action, I think the answer is yes, but not in the way we’re used to. The traditional cluttered Google search results page is being replaced by an AI-first interface. If your content isn’t structured, factual, and optimized for AI engines, you risk becoming invisible. The future isn’t just about ranking first. It’s about being the trusted source the AI quotes. No clicks. No CTRs. Just answers. Welcome to the next era of search. #SEO #GEO #AIEO #AIsearch #DigitalStrategy #ContentMarketing #GenerativeAI #SearchRevolution #DigitalMarketing #Marketing
Understanding AI Search Engine Development
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Summary
Understanding AI search engine development means recognizing how artificial intelligence is reshaping the way search engines provide information, shifting from traditional keyword-based searches to delivering direct answers through advanced AI models. This evolution demands a focus on being the source of reliable, structured, and AI-friendly content to stay visible in an increasingly AI-driven digital landscape.
- Focus on structured content: Use clear headers, concise paragraphs, and question-and-answer formats to make your content easier for AI systems to process and reference.
- Incorporate AI-friendly tools: Test your content with AI platforms like ChatGPT or Bing AI to ensure it can be summarized accurately and provides value in response to user queries.
- Expand your digital ecosystem: Distribute your content across multiple platforms and formats to meet audiences where they interact with AI systems, beyond just your website.
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My last couple of posts have been heavy on this theme: The website isn’t the marketing hub anymore. AI is rewriting the rules. Now, I've gotten some pushback, and I get it. This idea is still cutting-edge in many industries and will be for a while—think the local remodeling contractor, who will remain dependent on Google map packs for some time, but . . . Shout out to John Andrews and Sam Harding for this idea to help make this point. Remember the Browser Wars of the ’90s? That battle wasn’t about browsers; it was about who controls distribution. The winner decided how users experienced the web. Sound familiar? We’re back in a similar fight. But this time, it’s not about browsers or websites. It’s about AI. And the harsh truth? Your website is no longer the center of your marketing universe. It’s just another client in an AI-driven ecosystem. If you're still building everything around your website, you’re missing where the customer journey actually starts today. AI is the new gatekeeper. Large language models are the new homepage. What to do: ~ Structure your content for clarity: headers, bullets, short paragraphs. ~ Feed your own materials into tools like ChatGPT custom GPTs. ~ Submit links to AI-friendly aggregators like Perplexity or Bing. Prompt-ready content is the new SEO. Search engines indexed keywords. AI indexes answers. You’re not writing for spiders anymore, you’re writing for synthetic assistants. What to do: ~ Write in question/answer format. ~ Use schema markup and structured data to help AI extract the right info. ~ Test your content through ChatGPT—does it summarize your message well? AI-native collateral is the new lead magnet. PDFs and landing pages are fine, but imagine giving your audience a branded GPT or app that solves their exact problem. What to do: ~ Create AI-guided chat tools (ManyChat, Intercom, GPT bots). ~ Turn key insights into prompt libraries for your audience. ~ Train a micro-assistant that delivers value in your voice and framework. The ecosystem is greater than the standalone domain. Your website is part of the story, not the whole book. You need to meet your audience inside other platforms, other feeds, other tools. What to do: ~ Cross-publish with intent: blogs become emails, videos, Shorts, GPT inputs. ~ Format content for syndication: highlights, quote blocks, stat cards. ~ Embed value inside tools—calculators, diagnostics, AI-guided quizzes. ~ Ask better questions: Can this be summarized by AI in under 60 words? Would AI recommend this if asked? Are we surfacing this in multiple ecosystems? Is this referenceable—not just linkable? We’re not in a web-first world anymore. We’re in an AI-first marketing environment. The tools have changed, but the principle hasn’t: Be where your customers are, and make it ridiculously easy for them to know, like, and trust you. Don’t just optimize your website. Optimize your ecosystem.
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Google's AI Mode has been live for months, but most people still don't understand the 5 intricate processes behind it. Here's a breakdown on how it actually works: 1. Query Transformation Your single question gets broken down into multiple "fan-out queries" - related sub-questions, comparisons, FAQs, and concepts you didn't even think to ask about. 2. Intelligent Content Mining Instead of just looking at page rankings, Google hunts for specific passages across the web - sometimes just a sentence or two - that answer each piece of your puzzle. 3. AI Model Collaboration Multiple specialized AI models work together, each with different strengths (summarizing, comparing, fact-checking). They literally "debate" internally to build the most complete response. 4. Personal Customization Your search history, location, and behavior patterns influence the final answer. Two people asking identical questions can get entirely different responses. 5. Seamless Delivery All of this complexity gets packaged into one human-friendly answer - often without requiring a single click. The implications for content creators and SEO professionals are huge. We're not just competing for page rankings anymore; we're competing for passage relevance in an AI-driven ecosystem. What's your experience been with Google's AI Mode? Have you noticed how personalized the responses are?
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