The most interesting moments from humanity
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Never stop developing as a person.
Never stop prioritising yourself.
Never stop loving your friends.
Never stop loving your family.
Never stop loving yourself.
Never stop being kind.
Never stop learning.
Never stop giving.
Never stop.
Cleared Improve retweeted
Ben Horowitz on why AI won’t repeat the dot-com crash, and why tiny billion-dollar teams might not stay tiny:
Horowitz was at Netscape during the first internet boom. He explains why that boom collapsed before it rebuilt:
“Every investor was like, ‘Oh, this is the biggest thing ever. I’m going to put all my money into it.’ But the truth was... at Netscape in 1996 we had 90% browser share and we had 55 million users. And so the whole internet wasn’t that big, and then half of those people [were] on dial-up.”
Building an internet app was expensive (“you had to use Sun Microsystems servers and EMC storage and all this”), and the ceiling was low:
“You could get to like 30 million people or something. So, good luck with that. That’s not really a business. And so the whole thing kind of collapsed before it rebuilt, but eventually it was going to get there.”
AI is different because the distribution problem is already solved:
“With AI, when it works, almost instantly you can get to a giant number of users. We’ve seen companies grow faster than any companies we’ve ever seen because you don’t need more people on the network... The internet’s already here. Everybody’s on it, and all you have to do is put your thing up and they can get to it.”
Andrew Chen then raises the obvious next question. LLMs have turned out to be shockingly good at writing code. Does that mean billion-dollar companies built by tiny teams, or even solopreneurs?
Horowitz agrees, up to a point:
“I think you can get to a giant audience and a ton of money with a very few number of people. Like, I think that that’s for sure true.”
His example:
“Instagram was 13 people and sold for a billion dollars, but Meta’s got a ridiculous number of employees. Would Instagram have just been that many employees if they hadn’t got bought by Meta? Probably.”
So reaching scale isn’t the hard part anymore. The real question, in his words:
“Can you sustain it, or will you get taken out by somebody who’s kind of doing more things?”
His answer comes from history. He points to a paper by John Maynard Keynes arguing that once people’s basic needs were met, “once they had shelter, food, and clothes, people would start to work maybe no more than 15 hours a week.”
“That turned out to be spectacularly wrong, because of course then all of a sudden everybody needed a car, and then everybody needed a car for everybody in the family, and everybody needed a television. Then everybody needed a television in every room in the house, and now everybody needs a smartphone and everybody needs air conditioning... and none of that stuff even [existed] when he wrote that.”
His conclusion:
“What people need does tend to expand almost infinitely. So to fulfill that need, sometimes you have to build a bigger company. But we’ll see.”
Cleared Improve retweeted
Marc Andreessen on how businesses are born in Silicon Valley:
To understand how companies get started in the Valley, Marc Andreessen says you first have to understand what the Valley is.
"It's a company town, by which I mean it's all about tech."
But unlike a traditional company town, which is usually built around one employer ("In the old days you would go to Rochester, New York and it was all Kodak"), the Valley works differently:
"The company is the Valley, and then the individual corporations form, and some of them become very big and important."
In other words, individual businesses form inside a larger system. Based on what Andreessen describes, that process looks like this.
Step 1: The builders arrive.
Most of the people starting and staffing these companies aren't locals.
"Very few people you'll meet in the Valley working in tech actually grew up here."
Andreessen is one of them. He grew up in the rural Midwest and came out after college. The Valley also filters for commitment: "People who love tech love it here, and people who don't love tech don't stay here that long."
Step 2: They believe they can build it.
Andreessen says the Valley runs on a mentality that he connects to something Steve Jobs said:
"Basically everything around you, every tech product that you have ever used, has been created by people who are no smarter than you."
That belief lowers the barrier to starting:
"If you put your mind to it, and if you get the skills required to create these products, you can create products that are just as good as the ones that everybody already knows and loves. And the whole Valley kind of has that mentality. It's possible to build new things, new products and new companies."
Step 3: The culture rewards the risk.
New ideas need somewhere they won't be dismissed. According to Andreessen, the Valley is that place:
"It's a place that really rewards, I would say, creative thinking and even radical thinking. And it rewards a level of risk-taking and kind of danger in creating new ideas that a lot of other places just simply won't tolerate."
Step 4: Talent is always available to move.
Because people see themselves as members of the Valley and not just of their current employer, they're always open to the next opportunity:
"There might be something more interesting out there. I can maybe get a job at a different startup, maybe with bigger opportunity, and maybe not even have to change my parking spot."
Established companies see this as a retention problem. For a young company, it's a hiring pool.
Step 5: When something works, the talent swarms.
This is the moment a business goes from new to big:
"When these companies figure out something good, they can scale incredibly quickly, right? And they can pull in talent from all across the industry incredibly quickly."
Andreessen calls this "the thing that I think is most underestimated about the Valley."
He points to the smartphone as proof. At one point, it looked like the Valley had lost:
"Nokia and these other companies had kind of won, and everybody said the Valley's best days were behind it. And then it just turned out that when Apple figured out the iPhone, Google figured out Android, the talent just immediately materialized to support those efforts."
Step 6: Every new company stands on the old ones.
None of this starts from zero. Andreessen describes his own work as building "on top of 50, 60, 70 years of effort that took place long before I got here."
Cleared Improve retweeted
There is a big opportunity for businesses right now.
A new dataset focused on 1.5 million AI search-engaged sessions, 175 websites, 70 brands and 20 industries exposed something interesting.
AI Search traffic grew 392% year over year. Transactions attributed to that traffic?
Up nearly 600%.
Revenue growth? Up more than 300%.
Let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here. It's free:
seo-stuff.com/free-audit
Alright, so IDHL analyzed 13 months of AI-search referral data across 1.5 million AI-search-engaged sessions, 175 websites, 70 brands and 20 industries.
Businesses in the U.S. and UK were included, and six major AI platforms including ChatGPT, Perplexity, Gemini, Claude, etc.
So this wasn't one SaaS company or one ecommerce store seeing a random spike.
The headline numbers were pretty remarkable.
AI-search sessions: +392%.
Transactions: +553%.
Revenue: +312%.
There has been a lot of chatter in recent months about how much smaller, in terms of raw numbers, AI search is compared to Google search.
That is totally true.
That said, a marketing channel does not need to become your biggest source of traffic before it becomes worth optimizing.
If traffic is growing nearly 5x year over year and transactions are growing even faster, you probably want to understand why.
That is something SEO Stuff (seo-stuff.com) helps businesses with on a daily basis.
The especially interesting part is that transaction growth outpaced traffic growth, which shows that the commercial activity associated with AI Search grew even faster than the traffic itself.
And that lines up with a pattern we keep seeing.
People increasingly use AI to research products, compare vendors, check pricing, find alternatives, evaluate businesses narrow down options and *then* click once they already have a much clearer idea of what they want.
Think about the difference between:
"CRM software"
and:
"What's the best CRM for a 20-person real estate company that needs automated follow-up, integrates with Gmail and costs under $500 per month?"
The second customer has already told the AI their industry, company size, required features, integration, budget and intent.
The AI can do a lot of the research before deciding which companies to surface.
If your company appears in that answer, you may be entering the journey much closer to the decision.
And it is why AI Search Optimization needs to move beyond:
"Did ChatGPT cite my blog?"
The better questions are:
Does ChatGPT recommend my company for commercial searches?
Does Gemini?
Does Claude?
Does Perplexity?
Which buyer questions cause us to appear?
Which questions cause competitors to appear instead?
And what happens after somebody visits the website? Traffic, leads, transactions, revenue - these are the metrics businesses actually care about.
There was another interesting finding.
ChatGPT accounted for roughly 91% of the AI-search traffic IDHL measured.
So in this dataset, ChatGPT remains the dominant referral source by a huge margin, but the broader ecosystem is growing too.
That is another reason not to build an entire AI Search strategy around one platform.
You may get most of your referral traffic from ChatGPT today, but that does not mean your customers aren't researching you elsewhere, and it does not mean the distribution will look the same 12 months from now.
The job is increasingly to make your company easy for all of these systems to discover, understand, compare and recommend.
That starts with your own website.
It should clearly explain what you do, who you help, what you sell, how much it costs, which problems you solve, which industries you serve, how you compare, which use cases you fit and what evidence supports your claims.
A homepage and five generic service pages probably are not enough if customers are asking dozens of different questions before making a decision.
That is exactly what the SEO Stuff Premium Content Bundle is built around:
seo-stuff.com/premium-conten…
Build deeper coverage across comparisons, alternatives, pricing, use cases, industries, problems, objections and buying decisions.
Every useful question you answer creates another potential entry point into the research process.
Then there is authority.
Your website tells AI systems what YOU say about the company and then the broader web gives them additional evidence.
Editorial publications.
That is why the SEO Stuff done-for-you package combines both sides:
seo-stuff.com/ai-seo
AI-search-optimized content.
Plus contextual DR50+ authority placements.
IDHL also found something else interesting - AI Search is starting to show recognizable seasonality.
Travel engagement rose around major planning periods.
Retail and property also showed seasonal movement.
That matters because it suggests people are increasingly using AI around real-world demand cycles.
So if your busiest season is approaching, do not wait until demand peaks to start thinking about AI visibility.
Make sure the content exists, the important pages are current, the product/service info is accurate, etc.
And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here.
It's free:
seo-stuff.com/free-audit
Google just revealed why it sometimes ignores your site.
Yes, even if you think you are doing everything right.
This comes straight from Google’s John Mueller.
A site owner recently took to Reddit with a frustrating problem.
Their sitemap returned a 200, the XML was valid, nothing was blocked and Googlebot logs looked normal.
Yet Search Console kept showing “Couldn’t fetch” and “Sitemap could not be read” for months.
By the way, if you feel like you're doing everything right but still aren't showing up in Google, ChatGPT, Claude or broader AI search, let SEO Stuff take a look (it's free):
seo-stuff.com/free-audit
Mueller’s response was pretty blunt:
“Micro one part of sitemaps is that Google has to be keen on indexing more content from the site. If Google’s not convinced that there’s new & important content to index, it won’t use the sitemap.”
That is a really important point.
A technically valid sitemap does not mean Google is automatically interested in crawling and indexing everything you publish.
The broader quality and value of the site still matter.
If Google does not see enough new, useful or important content worth discovering, fixing the XML file alone may not solve the underlying problem.
And this connects directly to AI search.
Google evaluates sites using signals around content quality, authority, freshness, internal linking, historical performance and external validation.
If your strongest pages are difficult to discover or never make it into the index consistently, they also have fewer opportunities to surface downstream in AI-powered search experiences.
That does not necessarily mean your site is bad.
It may mean you have thin coverage relative to competitors, weak internal linking, poor structural clarity, little decision-stage content, limited external authority or not enough differentiation.
This is exactly why SEO Stuff is structured the way it is.
The done-for-you package combines decision-stage content, question-based headings, direct answers, internal linking and three DR50+ contextual authority backlinks:
seo-stuff.com/ai-seo
The goal is to give Google more useful pages to discover while strengthening the authority behind them.
The Premium Content Bundle goes deeper:
seo-stuff.com/premium-conten…
It adds 60 long-form articles designed to expand topical coverage, strengthen internal linking, reinforce the categories and problems associated with the business and keep the site actively publishing useful information.
The larger takeaway is simple.
Technical SEO gets Google through the door.
You still need to give it a reason to keep crawling.
A perfect sitemap cannot compensate for a site with weak content, little authority or nothing meaningfully new to discover.
And as Google Search becomes more intertwined with AI retrieval, getting your best information crawled, indexed and understood becomes even more important.
If you feel like you're doing everything right but still aren't showing up in Google, ChatGPT, Claude or broader AI search, let Rightcited take a look. It’s free:
seo-stuff.com/free-audit
Cleared Improve retweeted
"When Oracle acquired Cerner, we decided to walk down two paths: continuously improving Millennium with graceful upgrades while simultaneously building brand-new, standards-based AI modules."
— Larry Ellison
Cleared Improve retweeted
Amjad Masad on what college is actually preparing you for: "you can get a job and be a perfect citizen and go get married, have kids and get a house and a car and live happily ever after. The world doesn't exist anymore. You can do really well in college and you can still be unemployed with a huge debt."
Cleared Improve retweeted
Google just revealed why it sometimes ignores your site.
Yes, even if you think you are doing everything right.
This comes straight from Google’s John Mueller.
A site owner recently took to Reddit with a frustrating problem.
Their sitemap returned a 200, the XML was valid, nothing was blocked and Googlebot logs looked normal.
Yet Search Console kept showing “Couldn’t fetch” and “Sitemap could not be read” for months.
By the way, if you feel like you're doing everything right but still aren't showing up in Google, ChatGPT, Claude or broader AI search, let SEO Stuff take a look (it's free):
seo-stuff.com/free-audit
Mueller’s response was pretty blunt:
“Micro one part of sitemaps is that Google has to be keen on indexing more content from the site. If Google’s not convinced that there’s new & important content to index, it won’t use the sitemap.”
That is a really important point.
A technically valid sitemap does not mean Google is automatically interested in crawling and indexing everything you publish.
The broader quality and value of the site still matter.
If Google does not see enough new, useful or important content worth discovering, fixing the XML file alone may not solve the underlying problem.
And this connects directly to AI search.
Google evaluates sites using signals around content quality, authority, freshness, internal linking, historical performance and external validation.
If your strongest pages are difficult to discover or never make it into the index consistently, they also have fewer opportunities to surface downstream in AI-powered search experiences.
That does not necessarily mean your site is bad.
It may mean you have thin coverage relative to competitors, weak internal linking, poor structural clarity, little decision-stage content, limited external authority or not enough differentiation.
This is exactly why SEO Stuff is structured the way it is.
The done-for-you package combines decision-stage content, question-based headings, direct answers, internal linking and three DR50+ contextual authority backlinks:
seo-stuff.com/ai-seo
The goal is to give Google more useful pages to discover while strengthening the authority behind them.
The Premium Content Bundle goes deeper:
seo-stuff.com/premium-conten…
It adds 60 long-form articles designed to expand topical coverage, strengthen internal linking, reinforce the categories and problems associated with the business and keep the site actively publishing useful information.
The larger takeaway is simple.
Technical SEO gets Google through the door.
You still need to give it a reason to keep crawling.
A perfect sitemap cannot compensate for a site with weak content, little authority or nothing meaningfully new to discover.
And as Google Search becomes more intertwined with AI retrieval, getting your best information crawled, indexed and understood becomes even more important.
If you feel like you're doing everything right but still aren't showing up in Google, ChatGPT, Claude or broader AI search, let Rightcited take a look. It’s free:
seo-stuff.com/free-audit
Cleared Improve retweeted
"Before we got into building smart glasses, there weren't a lot of companies doing it. We experimented, saw what worked, doubled down on the promising parts, and kept going"
— Mark Zuckerberg
Cleared Improve retweeted
Alexandr Wang on what agent deployments will actually look like: "it was easy to get to 90%, very, very hard to get to 99%. I think that something similar will happen with large scale agent deployments."
Cleared Improve retweeted
Most “AI editor” tools are pretty good at finding the obvious moments.
The harder test is whether they can find the *right* moment.
Riverside Agents is interesting because the Editor can go through a recording, suggest what to cut, where to tighten things and which moment should be the hook, while you still make the final call.
So the test I want to see:
Give it a messy two-hour conversation where the best 30 seconds happens 90 minutes in, isn't particularly loud, and only makes sense if you understand everything that came before it.
Does it actually find it?
That's the kind of editing judgment I'm curious to see AI handle.
🤝 Paid partnership
Meet Riverside Agents, the first AI production team built only for video.
Producer preps the session, Editor creates the full edit, Clipper cuts the best moments, and Marketer gets it live.
They’re experts at video and know how to take your content to the next level. You call the shots.
Watch the demo:
Cleared Improve retweeted
We’ve raised a $2.5M pre-seed to fix hardware hiring.
The most reliable way to know if an engineer can do the job is to watch them work.
In hardware, that’s been almost impossible to do at scale.
Colare runs simulation-based assessments that show how candidates actually work, in the tools they’d use on the job, before anyone books an interview.
We assess across:
- Mechanical (CAD, DFM, FEA)
- Electrical (PCB, schematics)
- Systems
- Manufacturing, & more.
Candidates solve problems from first principles.
Hiring teams see that across their whole pool, so engineers only interview people who’ve already cleared the bar.
We're already working with everyone from seed-stage startups to multi-billion-dollar aerospace manufacturers.
If you’re hiring hardware engineers, let’s talk:
colare.com/
Cleared Improve retweeted
Traditional businesses that made people rich:
• Real estate
• Retail stores
• Manufacturing
Modern businesses that will make people rich:
Cleared Improve retweeted
Perplexity's Aravind on why they're betting the company on Comet: "if people are in the browser, it's infinite retention."
Cleared Improve retweeted
Asked if Elon's proximity to Trump concerns him, Bezos pivots to "they're certainly very able competitors." Sorkin drags him back. "I take it face value... he is not going to use his political power to advantage his own companies or to disadvantage his competitors. I take that at face value. Again, I could be wrong about that."
Cleared Improve retweeted
There is a massive AI Search opportunity right now that I think a lot of businesses are measuring completely wrong.
A new ecommerce study analyzed 96.4 million sessions and 976,668 orders across 73 online stores.
Traffic over the course of a year?
Basically flat.
Orders attributed to that traffic?
Nearly tripled.
Let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here. It's free:
seo-stuff.com/free-audit
Shero analyzed GA4 data from 73 ecommerce stores across Shopify, Magento, BigCommerce and WooCommerce.
In September 2025, these stores were getting about 896 visits per day.
One year later: 917.
So only about 2% growth.
If you looked purely at traffic, you understandably wouldn't be too impressed.
Now look at orders attributed to that traffic.
September 2025: 5.9 per day.
September 2026: 16.1.
That is almost 3x as many orders.
AI search users are different now. Their intent is much more direct.
Someone clicking through from an AI recommendation may arrive very differently from someone browsing traditional search results.
This is something SEO Stuff (seo-stuff.com) helps brands with daily.
A traditional search might be something like "running shoes" - which means the customer still needs to browse, compare, read reviews and figure out what actually fits.
Meanwhile an AI user can ask something like, "What are the best running shoes under $150 for someone who weighs 190 pounds, runs 20 miles a week on pavement and wants extra cushioning?"
The AI can do a lot of the filtering before the customer ever reaches a website.
By the time that person clicks, they may already understand what they want, why the product fits and what the alternatives are.
That can create a much more qualified visitor, and Shero's data is consistent with that possibility.
Among 61 stores with at least 200 AI visits in 2026, AI visitors converted better than Google organic visitors on 41 of them.
The median store saw AI traffic convert 25% better than Google organic.
AI visitors also generated 23% more revenue per visit, especially because the Google organic comparison INCLUDED branded searches.
There was another interesting finding: 51% of AI visits started directly on product pages.
And among stores with at least 500 AI visits, those where 50%+ of AI traffic landed on product pages had a median AI conversion rate of 1.62%.
Stores below that threshold: 1.06%.
That does not prove product-page landings caused the higher conversion rate, but it does show how AI can change the customer journey.
The user may not need to land on your homepage, browse categories, use filters and eventually find the right product.
They can go from Question to AI recommendation to Product page to Purchase.
That means every important product page increasingly needs to work as a landing page.
It should clearly explain what the product is, who it's for, what it costs, what specs matters, what makes it different, what customers should know before buying, how it compares with alternatives, etc.
This is why SEO Stuff focuses so heavily on the questions customers ask before buying:
seo-stuff.com/gold-plan-pack…
Best X for Y.
X vs. Y.
Alternatives to X.
Is X worth it?
Best X under $500.
Which X works with Y?
What should I look for when buying X?
Those questions can put your company into the research process before the customer ever reaches your website.
Then the destination needs to help them finish the decision.
That is what the Premium Content Bundle is designed to build:
seo-stuff.com/premium-conten…
And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here.
It's free:
seo-stuff.com/free-audit
Microsoft is now literally telling businesses exactly how to get traffic from AI Search.
Yes, directly inside webmaster tools.
This is probably one of the more important marketing updates of 2026.
Let’s go through it.
By the way, you can see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok here (it's free):
seo-stuff.com/free-audit
Earlier this year, Microsoft launched its AI Performance report so businesses could see how often their content was cited across Microsoft Copilot and partner AI experiences.
Now they are expanding it with four new AI Insights: Intents, Topics, Citation Share and Compare.
Let’s go through what changed.
Microsoft’s AI Performance report already showed: Total AI citations, Which pages were cited, Citation trends over time, the Average number of cited, Grounding queries associated with those citations, and now they' adding even more context.
The first update is Intents, thanks to which grounding queries are now classified into categories like: Informational, Commercial, Research, Learn & Solve and Local.
This goes without saying, but every AI citation is not equally valuable - a core principle that every SEO Stuff (seo-stuff.com) package starts with.
A citation from an informational query may mean your content is being used to answer broad education-stage questions.
A citation from a commercial query may mean your business is being considered closer to the buying decision.
This is something that every SEO Stuff done-for-you package takes into account:
seo-stuff.com/ai-seo
Imagine a payroll company sees Microsoft associating its site with:
Payroll software for contractors
Multi-state payroll compliance
Construction payroll pricing
ADP alternatives for small businesses
Now the business can see whether those queries are informational, commercial, research-driven or local.
That changes the content strategy.
If the site is getting cited mostly for informational queries, the company may need stronger pricing pages, comparison pages, industry pages and bottom-of-funnel content.
If it is getting cited for commercial queries but not winning much citation share, the issue may be authority, specificity or third-party validation.
The second update is Topics.
Microsoft is now grouping related queries into broader thematic clusters, and this is important because modern AI search organizes information around subjects, entities, intent, relationships and coverage depth.
That means a business should ask: “Does Microsoft understand us as a strong source for this topic?”
A payroll company may discover that Microsoft connects it strongly to: Contractor payroll, Small-business payroll, Payroll compliance, and Payroll pricing, as opposed to: Enterprise payroll, Global payroll, Healthcare payroll and Construction workforce management.
That tells the company where its topical authority is strong and where it is thin.
The third update is Citation Share.
Microsoft says businesses can now see how much of the citation space their site holds for a given grounding query.
Basically, you can start to see whether your site is one of many sources being cited, or whether you are earning a meaningful share of the AI answer ecosystem around a subject.
That is a very different metric from raw citations, because a site may get 100 citations for a topic, but if competitors are getting 5,000, the business may still be underrepresented.
Another site may only get 40 citations for a niche commercial query, but own a large share of the citation space.
This starts to move AI search reporting closer to share-of-voice analysis.
So less “Did we appear?” and more “How much of the available visibility did we capture?”
The fourth update is Compare.
Businesses can now overlay one time period against another.
For example:
Last 30 days vs. previous 30 days
Before a content update vs. after a content update
Before a backlink campaign vs. after a backlink campaign
Current season vs. prior season
This makes AI search optimization much easier to evaluate, because if a business publishes a new comparison page, strengthens an existing pricing guide and earns a few relevant authority placements, it can now look for citation movement afterward.
You don't have full attribution here yet, but even directionally this is still a big improvement.
This is where SEO Stuff’s done-for-you package becomes relevant:
seo-stuff.com/gold-plan-pack…
The package combines 10 AI-search-optimized articles with three DR50+ authority placements.
The content helps build deeper coverage around topics AI systems already associate with your business.
The authority placements help reinforce your company’s identity, category and expertise across the wider web.
That combination matters because AI visibility usually comes from two things working together:
Useful, specific content on your own site.
Trusted external signals confirming who you are and what you should be recommended for.
Microsoft says these new features are still in early preview, so occasional inaccuracies are possible, but the direction is obvious.
AI search is beginning to provide its own version of keyword, topic, intent and share-of-voice data.
This is the system SEO Stuff was built around:
seo-stuff.com
And if you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:
seo-stuff.com/free-audit
Cleared Improve retweeted
Building the "Shopify Version": Tobi Lütke on Unconventional Thinking & Silicon Valley Orthodoxy
Cleared Improve retweeted
"We can't handle runaway inflation except not to be there in the way of it." That's Buffett on Berkshire, $380B in cash, pricing power everywhere, admitting the portfolio doesn't save you. Becky offered him the soft 3% frame. He refused it, went straight to runaway inflation, and said the US "is not immune."
Cleared Improve retweeted
I've spent $10K+ on anti-aging supplements, and most of them ended up being marketing scams.
So here are the top 7 longevity supplements actually proven to work (based on data):
1. Resveratrol
Cleared Improve retweeted
Microsoft is now literally telling businesses exactly how to get traffic from AI Search.
Yes, directly inside webmaster tools.
This is probably one of the more important marketing updates of 2026.
Let’s go through it.
By the way, you can see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok here (it's free):
seo-stuff.com/free-audit
Earlier this year, Microsoft launched its AI Performance report so businesses could see how often their content was cited across Microsoft Copilot and partner AI experiences.
Now they are expanding it with four new AI Insights: Intents, Topics, Citation Share and Compare.
Let’s go through what changed.
Microsoft’s AI Performance report already showed: Total AI citations, Which pages were cited, Citation trends over time, the Average number of cited, Grounding queries associated with those citations, and now they' adding even more context.
The first update is Intents, thanks to which grounding queries are now classified into categories like: Informational, Commercial, Research, Learn & Solve and Local.
This goes without saying, but every AI citation is not equally valuable - a core principle that every SEO Stuff (seo-stuff.com) package starts with.
A citation from an informational query may mean your content is being used to answer broad education-stage questions.
A citation from a commercial query may mean your business is being considered closer to the buying decision.
This is something that every SEO Stuff done-for-you package takes into account:
seo-stuff.com/ai-seo
Imagine a payroll company sees Microsoft associating its site with:
Payroll software for contractors
Multi-state payroll compliance
Construction payroll pricing
ADP alternatives for small businesses
Now the business can see whether those queries are informational, commercial, research-driven or local.
That changes the content strategy.
If the site is getting cited mostly for informational queries, the company may need stronger pricing pages, comparison pages, industry pages and bottom-of-funnel content.
If it is getting cited for commercial queries but not winning much citation share, the issue may be authority, specificity or third-party validation.
The second update is Topics.
Microsoft is now grouping related queries into broader thematic clusters, and this is important because modern AI search organizes information around subjects, entities, intent, relationships and coverage depth.
That means a business should ask: “Does Microsoft understand us as a strong source for this topic?”
A payroll company may discover that Microsoft connects it strongly to: Contractor payroll, Small-business payroll, Payroll compliance, and Payroll pricing, as opposed to: Enterprise payroll, Global payroll, Healthcare payroll and Construction workforce management.
That tells the company where its topical authority is strong and where it is thin.
The third update is Citation Share.
Microsoft says businesses can now see how much of the citation space their site holds for a given grounding query.
Basically, you can start to see whether your site is one of many sources being cited, or whether you are earning a meaningful share of the AI answer ecosystem around a subject.
That is a very different metric from raw citations, because a site may get 100 citations for a topic, but if competitors are getting 5,000, the business may still be underrepresented.
Another site may only get 40 citations for a niche commercial query, but own a large share of the citation space.
This starts to move AI search reporting closer to share-of-voice analysis.
So less “Did we appear?” and more “How much of the available visibility did we capture?”
The fourth update is Compare.
Businesses can now overlay one time period against another.
For example:
Last 30 days vs. previous 30 days
Before a content update vs. after a content update
Before a backlink campaign vs. after a backlink campaign
Current season vs. prior season
This makes AI search optimization much easier to evaluate, because if a business publishes a new comparison page, strengthens an existing pricing guide and earns a few relevant authority placements, it can now look for citation movement afterward.
You don't have full attribution here yet, but even directionally this is still a big improvement.
This is where SEO Stuff’s done-for-you package becomes relevant:
seo-stuff.com/gold-plan-pack…
The package combines 10 AI-search-optimized articles with three DR50+ authority placements.
The content helps build deeper coverage around topics AI systems already associate with your business.
The authority placements help reinforce your company’s identity, category and expertise across the wider web.
That combination matters because AI visibility usually comes from two things working together:
Useful, specific content on your own site.
Trusted external signals confirming who you are and what you should be recommended for.
Microsoft says these new features are still in early preview, so occasional inaccuracies are possible, but the direction is obvious.
AI search is beginning to provide its own version of keyword, topic, intent and share-of-voice data.
This is the system SEO Stuff was built around:
seo-stuff.com
And if you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:
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Websites with one specific characteristic get cited by AI platforms 1.8x more often.
Now the data is finally specific enough to act on.
A study analyzed 11,882 prompts and 304,805 cited URLs across ChatGPT, Google AI Mode and Perplexity, then compared them against 921,614 URLs ranking in Google's top 20 that were not cited by AI.
The biggest differences?
Clarity and summarization quality (+32.83%), signals like author credentials and expert sources (+30.64%), Q&A formatting (+25.45%), clear section structure with headings, lists and tables (+22.91%) and structured data (+21.60%).
In other words, the pages AI systems tend to cite are generally clearer, better structured and backed by stronger expertise.
By the way, if you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here. It’s free:
seo-stuff.com/free-audit
According to Semrush, sources with clear author information were cited 1.8x more often than anonymous content.
That means naming the author, showing relevant credentials and citing credible expert sources materially improved the signals AI systems have available when deciding what to cite.
Semrush's data shows that cited pages were much more likely to communicate the answer clearly, use structured sections, anticipate questions and demonstrate actual expertise.
Mind you, a page can be relevant enough to rank and still be a poor citation candidate. And the strongest-performing content tends to combine two things.
First, useful content built around expertise: named authors, original data, expert perspectives, direct answers and comprehensive coverage of the buyer's question.
In fact, Semrush found Q&A formatting correlated with roughly 25% higher citation rates, while strong section structure correlated with roughly 23% higher rates.
Second, authority that reinforces the expertise.
Credible third-party coverage, editorial backlinks and references from trusted websites give search and AI systems more evidence that the content and the company behind it are worth trusting.
That is the system SEO Stuff (seo-stuff.com) was built around.
The done-for-you package combines AI-search-optimized content with three DR50+ authority placements:
seo-stuff.com/gold-plan-pack…
The content is built around clear answers, expert attribution, structured depth and the commercial questions customers actually ask.
The Premium Content Bundle goes deeper:
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It includes 60 long-form pieces designed around structured coverage, expert attribution and question-based search intent.
And the Premium Backlink Bundle strengthens the authority side:
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It adds three contextual DR50+ placements designed to reinforce the brand and its expertise across trusted third-party websites.
And if you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here. It’s free:
seo-stuff.com/free-audit
