Reposts from @ClearedImprove

@alexgroberman7h

Your business can publish: "The 10 Best [Your Category] Tools" Put YOUR OWN PRODUCT at #1... And AI systems may actually use that article as a source when recommending tools. But only if you do it right. (Which most brands do not.) A new study analyzed 18,084 software questions across Google, AI Overviews, ChatGPT, Gemini, Claude and Perplexity. For "alternatives to X" questions, between 34% and 47% of the listicles cited were published by software companies that included their OWN product. 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 Minuttia and Convex Works analyzed 18,084 software questions, 5,983 software brands and 196 categories. The questions included alternatives, X vs Y and best-tools searches. Across the study, they collected 686,749 citations from more than 311,000 pages. Then they classified the pages AI systems were using. A page counted as "self-promotional" when a software company published a listicle or comparison in a category where it sells AND included its own product. So imagine a CRM company publishing: "10 Best CRM Platforms" and including itself. Among those self-promotional listicles 93% highlighted the company's own product and 87% placed its own product FIRST. Only 16% clearly disclosed that the company itself wrote the list. ...and AI systems were still citing these pages. This is something SEO Stuff (seo-stuff.com) helps businesses with daily. For "alternatives to X" questions, the share of listicle citations coming from self-promotional pages was: Google Search: 47%. Gemini: 47%. Perplexity: 43%. Google AI Overviews: 43%. Claude: 36%. ChatGPT: 34%. Across software categories overall, Minuttia says 43% of the listicles cited by AI platforms were self-promotional. So what is the key to doing this successfully? There were a few common themes: 1. Be transparent. 2. Make the page genuinely useful. 3. Include competitors. 4. Explain where each option fits. 5. Explain where YOUR product fits. 6. Explain who should choose you. 7. And where somebody else may be the better fit. 8. Publish real pricing where possible. 9. Discuss strengths and limitations. 10. Show your methodology. So you don't need to hide the commercial interest - just make the page useful despite it. AI systems are willing to cite vendor-written listicles when those pages help answer the buyer's question. All that being said, third-party coverage still matters enormously. For "alternatives to X" questions, between 53% and 66% of cited listicles were still NOT self-promotional. For "alternatives to X" questions, 42% of ChatGPT's citations went to software companies' own websites. And Minuttia analyzed 52,293 ChatGPT web searches from those questions. 71% named exactly ONE product while another 26% named two or more. ChatGPT appeared to start broad, identify candidates, investigate the products individually and then move from there. What does that mean for brands? It means first you need to get into the shortlist, then you need to make sure your website actually holds up when the AI investigates you. Minuttia also found that when ChatGPT used a site: search, 92% of those searches targeted a software vendor's own website. So first-party information clearly mattered in this dataset. That is exactly where the SEO Stuff Premium Content Bundle fits: seo-stuff.com/premium-conten… Build the information buyers and AI systems need: best-of content, alternatives, comparisons, pricing, etc. There is also an interesting authority lesson here. Median domain rank in the study was - Self-promotional listicles: 49. Independent listicles: 63. Review sites: 72. So vendor-written listicles often came from weaker domains than the independent lists and review platforms. That is why SEO Stuff's done-for-you package combines AI-search-focused content with contextual DR50+ authority placements: seo-stuff.com/ai-seo 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: rightcited.com/

@alexgroberman10h

There is a huge opportunity for businesses competing on buyer-intent searches right now. Specifically because Google AI Overviews are showing up directly on the searches people make when they are deciding what to BUY. A new study produced some fun AI Overviews numbers. They are now appearing on 96% of "best X for Y" searches and about 90% of review searches. Also, they're showing up for more than 86% of brand-vs-brand searches and more than 82% of alternatives searches. Alright, 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 So, Semrush tracked a fixed panel of 400 commercial keywords every month from September 2025 through August 2026. The keywords covered banking, software and ecommerce across five commercial modifiers: alternatives, brand vs brand, best X for Y, pricing and cost, and reviews. In September 2025, AI Overviews appeared on 45.75% of those keywords. By August 2026? 88%. Nearly double. And then when Semrush weighted those same keywords by estimated search volume, AI Overviews covered 97.08% of the commercial search demand represented by the dataset. What kind of searches are we talking about here? Think: "Best CRM for a real estate company" "HubSpot vs Salesforce" "HubSpot alternatives" "HubSpot pricing" "HubSpot review" The customer is comparing, checking price, evaluating options and deciding who makes the shortlist - and Google increasingly puts an AI-generated answer in front of them on exactly those kinds of searches. That is why SEO and AI Search Optimization increasingly need to happen together, and why SEO Stuff (seo-stuff.com) works with businesses daily on checking all the necessary boxes. Businesses NEED TO pay attention to the information Google can find around the brand. Your website, comparison pages, review sites, editorial coverage, YouTube, communities, 3rd party websites and competitor content - it all matters. Semrush showed a good example with "Mailchimp vs Klaviyo" where Google's AI Overview cited Klaviyo's own comparison guide when explaining when somebody should choose Klaviyo. For the Mailchimp side, it used a third-party source. That is a pretty good illustration of what commercial AI Search can look like. Your own website can help shape the answer but then your website is not the only voice Google can use. So if customers compare your company with competitors, have useful comparison content. If people search for alternatives, explain where your product fits. If pricing matters, make pricing clear. That is exactly what the SEO Stuff Premium Content Bundle is designed to build: seo-stuff.com/premium-conten… Mind you, not just top-of-funnel articles, but content around comparisons, alternatives, pricing, reviews, use cases, industries, objections and buying decisions. Then there is the authority side. AI Overviews can synthesize information from multiple sources. So you do not want the only information about your company to come from your own website. That is why the SEO Stuff done-for-you package combines content with contextual DR50+ authority placements: seo-stuff.com/gold-plan-pack… And 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

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Austin Hughes · Oct 28, 2026 · 2:30 PM UTC

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Austin Hughes

@austinh___9h

Cold calling isn’t dead. And that’s why today, we’re launching Unify Dialer. Sellers have already placed 112K+ calls with it. → Prospect, sequence, and dial in one place. → Move faster through your call list with Power Dialer, with the research done before you dial. → Reach more buyers with 34% more reachable numbers than Apollo and 66% more than ZoomInfo in our benchmark. 60% of reps book a meeting within their first hour of dialing on Unify. Who better to pick up the phone than the wolf of insurance himself, Juliano Massarelli? 👇🏻 Try it here: unifygtm.com/dialer?utm_sour…

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Alex Groberman · Oct 28, 2026 · 1:16 PM UTC

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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

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Founder Tribune · Oct 27, 2026 · 4:30 PM UTC

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@Founder_TribuneOct 27

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.”

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Genius Business · Oct 27, 2026 · 4:01 PM UTC

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@GeniusBusiness_Oct 27

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."

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Alex Groberman · Oct 27, 2026 · 3:25 PM UTC

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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

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Genius Business · Oct 27, 2026 · 2:01 PM UTC

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@GeniusBusiness_Oct 27

"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

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Founder Tribune · Oct 27, 2026 · 1:30 PM UTC

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@Founder_TribuneOct 27

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."

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Alex Groberman · Oct 27, 2026 · 1:13 PM UTC

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A business followed the recommendations in this article and added $100,000 in Google, ChatGPT and broader AI search-related traffic.

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Genius Business · Oct 27, 2026 · 11:01 AM UTC

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@GeniusBusiness_Oct 27

"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

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Founder Tribune · Oct 27, 2026 · 10:30 AM UTC

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@Founder_TribuneOct 27

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."

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Alex Groberman · Oct 26, 2026 · 5:51 PM UTC

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@alexgrobermanOct 26

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

Nadav Keyson

@NadavKeysonOct 26

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:

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Esther Thomas · Oct 26, 2026 · 4:01 PM UTC

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Esther Thomas

@esthxrthoOct 26

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/

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Alex Groberman · Oct 26, 2026 · 3:49 PM UTC

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@alexgrobermanOct 26

A business followed the recommendations in this article and added $100,000 in Google, ChatGPT and broader AI search-related traffic.

@alexgrobermanJan 17

LEAKED: Google just accidentally revealed how AI search systems actually work.

Article · @alexgroberman

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Manu Sisti · Oct 26, 2026 · 2:49 PM UTC

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Manu Sisti

@Manu_SistiOct 26

Traditional businesses that made people rich: • Real estate • Retail stores • Manufacturing Modern businesses that will make people rich:

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Genius Business · Oct 26, 2026 · 2:01 PM UTC

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@GeniusBusiness_Oct 26

Perplexity's Aravind on why they're betting the company on Comet: "if people are in the browser, it's infinite retention."

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Founder Tribune · Oct 26, 2026 · 1:30 PM UTC

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@Founder_TribuneOct 26

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."

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Alex Groberman · Oct 26, 2026 · 2:01 PM UTC

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@alexgrobermanOct 26

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

@alexgrobermanOct 25

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

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Genius Business · Oct 26, 2026 · 11:00 AM UTC

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Building the "Shopify Version": Tobi Lütke on Unconventional Thinking & Silicon Valley Orthodoxy

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Founder Tribune · Oct 26, 2026 · 10:30 AM UTC

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