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Ep 653: How Brands Can Prepare for the Post-Human Web
How brands win with AI, OpenAI releases GPT-5.1, Microsoft unveils new Datacenter, Pope urges against AI and more
Everyday AI
November 13, 2025
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The jury is still out whether itās an incremental upgrade, or potentially a HUGE improvement over their lackluster GPT-5 release.
Whatās your interest level in learning more on GPT-5.1?
What's your interest on a Deep Dive on OpenAI's new model, GPT-5.1?š³ļø Vote to see LIVE results š³ļø |
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Outsmart The Future
Today in Everyday AI
8 minute read
š Daily Podcast Episode: Your brand can no longer rely on being discovered on Google. You need a new strategy. Find out more in todayās show and give it a watch/listen.
šµļøāāļø Fresh Finds: New ChatGPT personalization styles, Free Microsoft Copilot for students, more Waymo rides and more. Read on for Fresh Finds.
š Byte Sized Daily AI News: OpenAI releases GPT-5.1, Microsoft unveils new Datacenter, Pope urges against AI and more Read on for Byte Sized News.
š§ Learn & Leveraging AI: We talked to a global expert in brand management to help your company thrive in a post-human internet. We share all. Keep reading for that!
ā©ļø Donāt miss out: Did you miss our last newsletter? We covered: Anthropic announces its own infrastructure, OpenAI responds to NYT, Nano Banana lands on iPhone and more. Check it here!
Ep 653: How Brands Can Prepare for the Post-Human Web
What happens when the web is all bots and AI? š¤
And more importantly, what happens to your company's online presence when AI search completely takes over?
Big questions.
So we're bringing in the big gun for the answers.
Michael Walrath is the Chairman and CEO Yext Inc, a global leader in brand management and search experience.
Michael will dish the essentials on how brands can not just stay relevant in the post-human web, but how they can thrive and get ahead.
Don't miss this one.
Also on the pod today:
ā¢ Brands losing control online? š±
ā¢ AI personalization: creepy or cool? š
ā¢ SEO vs. answer engines š¤
Itāll be worth your 32 minutes:
Listen on our site:
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Listen on:
Hereās our favorite AI finds from across the web:
New AI Tool Spotlight ā Documenso shares Enterprise-Grade E-Signatures For Everyone. Avaturn Transforms Business Interactions
with Lifelike AI Avatars. Willow helps you write 5x faster with voice dictation.
ChatGPT Updates ā With the update of GPT 5.1, you are able to personalize your Chatbot in more ways.
Free Copilot for Students ā Get 12 months of Microsoft 365 Personal free for students, unlocking Copilot features like Vision and Deep Research. See how to get access.
AI Robotics ā Can Non-Coders build an AI Robot Dog? Apparently so.
Gemini 3.0 Rumors ā Tipsters online are starting to share what appear to be Gemini 3.0 Sightings.
AI Jobs ā Workers fear AIās impactāyet few are training for it.
Gemini Live update ā Gemini Live now sounds more human, with smarter tone, pacing, and adjustable speed.
Waymo Rides ā Waymo now offers freeway rides across Bay Area, Phoenix, and Los Angeles.
AI Politics ā AI deepfakes are reshaping NYC politics, fueling misleading and racist ads while rules lag. Curious how campaigns are using AI and whatās being done?
Code Arena ā Code Arena launches a live coding platform where models build full web apps, iterate with file-level tools, and get judged by a community.
Claude Code on Web ā Claude Code now runs in the browser and iOS app for Team and Enterprise users, letting devs run coding tasks without opening a terminal.
1. OpenAI rolls out GPTā5.1 with faster, friendlier conversations āŗļø
OpenAI has begun replacing GPTā5 with two upgraded models, GPTā5.1 Instant and GPTā5.1 Thinking, delivering a warmer, more conversational default and a reasoning engine that dials up effort on complex prompts while saving time on simple ones.
The update also expands personalization with eight tone presets and granular controls for style and emoji use, and the models are available across free and paid ChatGPT plans with phased Enterprise and Edu access. OpenAI says improvements focus on better instruction following and less jargony explanations, while preserving routing that sends prompts to the most appropriate model type.
2. Microsoft to lean on OpenAIās chip work to salvage its semiconductor push š¤
Microsoft just secured rights to OpenAIās custom chip designs and extended model access through 2032, a timely move as Big Tech races to secure AI hardware advantage. CEO Satya Nadella confirmed Microsoft will adopt OpenAI/Broadcom system-level innovations and adapt them for its own needs, while OpenAI keeps its consumer hardware plans.
The deal acknowledges how costly and difficult chip development is, and lets Microsoft shortcut years of engineering by tapping a partner already building purpose-built AI silicon.
3. Microsoft flips the switch on a massive Atlanta AI hub ā”
Microsoft just brought a new Atlanta data center online, expanding its networked AI infrastructure and linking it to a Wisconsin site with dedicated fiber. The facility packs huge numbers of the latest Nvidia GPUs and is designed to run very large AI jobs across multiple sites as if they were one giant computer.
By relying on Atlantaās stable power grid, Microsoft avoided extra on-site backup gear, cutting costs and speeding deployment. The move signals a push to scale AI training across interconnected centers rather than keeping work confined to single locations.
4. Pope at Vatican urges digital education to protect children from AI manipulation āŖ
Pope Leo XIV, speaking Thursday at the Vatican conference "The Dignity of Children and Adolescents in the Age of Artificial Intelligence," warned that AI can easily manipulate children and adolescents and called for urgent action beyond policy.
He urged governments to update data protection laws and promote ethical AI, but emphasized that legal measures alone are insufficient without continuous digital education led by trained adults and collaborative networks.
5. GPT-5.1 Hits Copilot Studio as an Experimental Option š§āš¬
Microsoft has rolled out GPT-5.1 in Copilot Studio as an experimental model for U.S. customers in early release Power Platform environments, arriving alongside OpenAIās announcement and signaling a fresh testing window for enterprise users.
The update promises better adaptability in thinking time for both chat and reasoning, aimed at improving how models pace complex tasks. Microsoft advises using these experimental models in non-production settings while evaluation gates complete, so organizations can benchmark performance without risking critical systems.
š¦¾How You Can Leverage:
Google owned 92% of search traffic.
Past tense.
But traditional Google search and dozens of open tabs searching for an answer have been replaced with a single convo with an AI chatbot or Answer Engines.
Michael Walrath know all too well.
Heās the Chairman and CEO of brand management juggernaut Yext and he predicted this two years ago when everyone else was doubling down on traditional SEO. Before Yext, he ran search at Yahoo and watched Google consolidate an entire industry.
Now he's watching it fragment into dozens of AI answer engines.
Most brands are fighting the wrong battle. Some blocked AI crawlers thinking they'd protect traffic.
They deleted themselves from the future instead.
Competitors fed structured data to ChatGPT, Claude, and Perplexity and grabbed all that abandoned visibility. Michael calls this the post-human web: when machines are discovering content, parsing it, serving it to other machines who deliver it to humans.
It requires brands to rethink digital approaches that have worked for decades.
We broke it all down on todayās show, but keep reading below for the Big 3 takeaways.
1. Structured Data Beats Everything You Built For Humans š
Your hero images mean nothing to AI answer engines.
Your dropdown menus get skipped entirely.
Michael's watching brands realize their two-decade SEO investment doesn't transfer because everything was optimized for humans clicking through pages, not machines extracting structured facts.
Here's the brutal truth. If your data isn't structured and machine-readable, you don't exist in the post-human web.
Sorry.
Large language models need clean, authoritative information they can parse instantly. Menu items with specific dietary attributes. Product specs machines can compare. Real-time availability updating across platforms simultaneously.
Not paragraph descriptions. Not beautiful layouts.
Michael emphasized you need one singular, distributable dataset that works across Google, Bing, ChatGPT, Claude, Perplexity, and the twenty other AI answer engines launching over the next two years.
The companies winning right now treat data like a product itself.
They're creating vegan menus, gluten-free menus, keto menus as separate structured datasets so AI engines can match the right version to users based on dietary context stored in memory. That's not SEO anymore. That's data architecture for machine consumption.
Try This:
List 10 factual attributes about your offeringāprice, location, availability, dietary info, specifications.
Check if those exist in structured, machine-readable format on your site, not buried in paragraph copy.
Build a spreadsheet with every attribute that matters across different contexts. That's your foundation for the post-human web.
2. Memory Murdered KeywordsāContext Is Everything Now š„
AI answer engines don't match keywords.
They match intent plus everything they know about the person asking.
When someone asks where to eat lunch, the query includes the AI's memory that this person is vegan, prefers quiet places, stays under twenty bucks, and avoids anywhere more than ten minutes away.
None of that context appears in the query. All of it determines which brands get surfaced.
Michael walked through asking ChatGPT for SUV recommendations. It asked clarifying questions, then thought for seven minutes before delivering five personalized recommendations.
Here's where it gets wild yāall. Eventually the AI will say "I can have this Cadillac delivered to your house for a test drive at 3pm today."
But brands only participate if they've fed the system structured data about where those vehicles are, which areas they serve, and what that delivery is worth.
Michael's point about the post-human webāthe human isn't evaluating your website anymore. The machine is matching your structured data against another machine's understanding of what that specific human needs.
Your job is ensuring AI has enough structured information to match you correctly when someone's context makes them your perfect customer.
Different menu versions for different dietary needs. Price tiers as data fields. Enterprise specs under specific thresholds.
Try This:
Write down five contexts that make someone your ideal customerāactual contexts like "gluten-free" or "enterprise under 50K" or "quiet restaurants under $20."
Audit whether AI engines have structured data matching you to those contexts.
Create multiple structured versions tagged for different contexts. That's how you compete when machines match offerings to intent without keyword searches.
3. Blocking Crawlers Only Makes Sense For Publishers ā”
Michael's emphatic about this: hundreds of brands made the same catastrophic error.
They blocked AI crawlers thinking they'd protect traffic.
Publishers running ad-supported businesses should block crawlers because AI scraping articles threatens their revenue model. They need page visits for ad dollars.
But brands selling actual products and services copied that strategy. Massive mistake.
If you sell products or services, you don't care whether someone visits your website. You care whether they buy your product, book your service, walk into your location.
AI answer engines facilitate all of that without clicks.
Blocking them doesn't protect anything. It ensures you don't exist when potential customers ask for recommendations.
Michael shared something crucialāfragmentation is accelerating. Apple will launch an intelligent agent. Reddit might build one.
If you're blocked while competitors feed structured data, you're invisible.
Here's insight that contradicts conventional wisdomāMichael said Reddit isn't being cited in detailed or localized queries despite the hype. It's training data, not authoritative citations.
Building a Reddit strategy today wastes resources better spent on structured data feeds.
Try This:
Check your robots.txt file for AI crawler blocksāGPTBot, CCBot, Claude-Web.
If you sell products or services, delete those blocks immediately. You're erasing yourself from machine-powered discovery.
Ensure AI engines can access quality structured data about your offerings. The gap compounds quarterly as AI engines learn which brands provide reliable data.x
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