Mythbusting generative #AI #search: what you don't need to do - Google May 2026 As generative AI search evolves, so have the theories and practices—and sometimes, the misconceptions—surrounding it. While terms like Answer Engine Optimization (#AEO) or Generative Engine Optimization (#GEO) are common online, many suggested "hacks" aren't effective or supported by how Google Search actually works. To help you focus on what matters for your website's visibility, we've collected some of the most prominent topics circulating the internet around generative AI and Google Search. Here are a few things you can ignore for Google Search: LLMS.txt files and other "special" markup: You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in generative AI search. Note that Google may discover, crawl, and index many kinds of files in addition to HTML on a website: this doesn't mean that the file is treated in a special way. "Chunking" content: There's no requirement to break your content into tiny pieces for AI to better understand it. Google systems are able to understand the nuance of multiple topics on a page and show the relevant piece to users. However, sometimes shorter (or longer!) pages can work well depending on your audience and subject matter. There's no ideal page length, and in the end, make pages for your audience, not just for generative AI search. Rewriting content just for AI systems: You don't need to write in a specific way just for generative AI search. AI systems can understand synonyms and general meanings of what someone is seeking, in order to connect them with content that might not use the same precise words. This means you don't have to worry that you don't have enough "long-tail" keywords or haven't captured every variation of how someone might seek content like yours. Seeking inauthentic "mentions": Just like the rest of Google Search, our generative AI features can show what's being said about products and services across the web, including in blogs, videos, and forum discussions. However, seeking inauthentic "mentions" across the web isn't as helpful as it might seem. Our core ranking systems focus on high-quality content while other systems block spam; our generative AI features depend on both. Overfocusing on structured data: Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add. However, it's a good idea to continue using it as part of your overall SEO strategy, as it helps with being eligible for rich results on Google Search. developers.google.com/search…

I will pay good money for new AI generated episodes of The Office. I'm not joking. $20 per episode.

Most sitemap tools show what a site looks like today. We built AI that shows what it should become. VisualSitemaps AI generates: ✅ optimized future-state sitemap ✅ topical SEO clusters ✅ IA/SEO strategy report For UX, SEO, content, and web teams 🚀visualsitemaps.com/ai-optimi…

Jensen Huang, NVIDIA CEO: "It even runs large language models" — a $249 AI computer that fits on your desk.

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linkedin feed = youtube.com/shorts/xOevZyRGz…

canvas.miro.com/ #ai #canvas

"Picking Brains" will soon be ubiquitously productized. "Thought Leaders" & Influencers will soon be dumping their whole corpus into a rented GPU and offer TimeShares 🤓

It's all about the zen🙏

🔥 @rusosnith excelente 👏#infographics #datavis @ #nerdearla

We're hosting #AI Assisted Development w/ @HanifCarroll luma.com/obv0qck7 -- Wed/2pm EST --

Stop Limiting Life's Possibility - youtu.be/QEtjob__Fc0?si=0EiM… via @YouTube

Introducing Lydia ..the latest in #Ai reasoning.

AI traffic this week. radar.cloudflare.com/ai-insi…

Osho: Enjoyment is the sound of being centered. youtu.be/ZOj61PCKhd8?si=-kEw… via @YouTube

So this morning i had my first virginal  😇 AI #in_app experience. Basically, it’s something I’ve been thinking about for a while now.. which is how it will change forever the user experience #UX between US and the gobs of interface layers of existing and upcoming Ai-first web apps. #Problem: Today I ran into a challenge with @make_hq  when I was trying to automate the intro message to our new "we❤️AI" Slack group I started with my beloved NYU/ITP alumni family. *DM me for an invite. Out of nowhere, it started duplicating the DMs being sent to new invitees. My first instinct was the usual: hop on their chat support and dig around for answers. But then it happened. The AI got it. Not only did it understand my issue, it actually asked me if it could fix it. And then.. it just went ahead and rewired the damn canvas for me! Added an extra filtration layer, killed the duplicate bug, and basically said: “Relax, grandpa, I got this.” That moment confirmed something I’ve been musing about forever: the old way of doing software is #dead. That shit was for old farts like me. Instead of figuring out X or planning Y for your upcoming deliverable.. all this will just happen agentically. For existing end-user-facing apps , AI will flatten the hell out all that complexity. And honestly.. who the f’k wants to spend their time weeding through Google Analytics trying to dig up one metric or tease out insights? I’d rather stroll into a client meeting stress-free, latte in hand. And for new AI-first apps? Those shiny Dribbble (RIP) screens might not even exist anymore. They’ll generate on the fly, one component at a time, tailored to the problem you’re solving in that exact moment. So…what about you? What’s your wildest “holy sh*t, the AI just did that for me” moment so far?