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

Internal linking will greatly help your SEO. Here is how I do it with Claude (or manually): 1/ either download GSC export or use an MCP for it 2/ put that into claude 3/ make sure your website has an mcp (i use wordpress and i have a custom mcp plugin which lets claude make changes to the website) there are mcp connectors for all sorts of blogging frameworks 4/ ask claude to automatically do the internal linking based on the queries that rank best (have great positions for each article) this is a prompt I use: I've attached my Google Search Console export (or: pull it from the GSC connector) for the last 3 months. My website is connected through the [site name] MCP. 1. For each article, find the queries where it ranks best (position 1–10, decent impressions). Those are its target anchors. 2. Go through every published post. Wherever the text naturally mentions another article's top query (or a close variant), turn that phrase into a link to that article. 3. Rules: - Max 3–5 new internal links per post, spread through the body (no headings, intro sentence, or existing links) - Never link a post to itself, and only link each target once per post - Anchor text must read naturally. Don't rewrite sentences just to force a keyword in - Prioritize sending links to pages ranking 4–15 (they gain the most) 4. Before changing anything, show me a table: source post → anchor text → target URL → target's query and position. Wait for my OK. 5. After I approve, make the edits through the MCP, then give me a changelog so I can revert if needed. 5/ leave the website alone for a few days 6/ repeat this every week and see your rankings go up 7/ do not forget to build backlinks and explore new content opportunities thats pretty much it this process can be done manually too i am doing the same process on my websites and my customer websites

L'erreur qui bouffe la RAM de ton API si tu streames des sous-agents avec le Vercel AI SDK readUIMessageStream clone tout le message accumulé à chaque chunk, sorties d'outils comprises Un sous-agent qui scrape 500 Ko puis rédige 2 000 tokens, ça fait vite ~1 Go de clones Le fix : fusionner les deltas par lots de 500 ms avec un pipeThrough avant le reducer Et ne renvoyer au parent qu'une version légère du message tant que le run tourne Un clone par lot au lieu d'un par token

NEW: In 2021, Apollo acquired a massive internet business for ~$5B. Just 5 years later, it's become *one of the fastest-returning deals in the firm's history.* 700M monthly users. Billions in revenue. And an enormous distribution advantage that would be nearly impossible to replicate today. Apollo's Reed Rayman recruited Jim Lanzone (@jlanzone) to lead the turnaround. The company? @Yahoo. I sat down with CEO Jim Lanzone, one of the internet industry's most accomplished turnaround executives, to go inside @apolloglobal's PE M&A playbook for Yahoo, the economics of the acquisition, & why this may be one of the most underrated assets in tech. The numbers: › ~$5B acquisition › 700M monthly users, including 100M+ each across Yahoo Finance & Sports › 75% direct traffic, with ~75% of daily users logged in › Hundreds of millions in annual ad-tech losses addressed through restructuring › Major divestitures including AOL, TechCrunch & Edgecast › One of Apollo's fastest-returning deals, with Jim saying they're now "playing with house money" › Newer search companies valued at 6X Yahoo despite having a fraction of its users, revenue & profitability But the most interesting part of this deal is the operator. Before Yahoo, Jim helped drive a 50X stock increase at Ask Jeeves, grew CBS Interactive from 70M to 220M users, and led Tinder. And unlike the traditional PE playbook of aggressive cost extraction, PE micromanagement, Apollo backed an experienced product executive to restructure the business, rebuild its leadership, & reinvest in growth. Now Yahoo is moving from turnaround to comeback, with an entirely rebuilt product ecosystem, its own AI search engine through Yahoo Scout, and a potential path back to the public markets. We get into what it's really like operating under Apollo, the leadership decisions behind the turnaround, the value of internet distribution at scale, and why some startups with less than 0.1% of Yahoo's users command higher valuations. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Jim Lanzone, CEO of Yahoo (01:33) How Apollo bought Yahoo for $4.8B (04:16) Taking over a company in the middle of COVID (07:22) Is private equity really the villain? (12:42) The mistake that handed Google the internet (16:09) Where Yahoo's 700M monthly users come from (17:07) Why Yahoo sold AOL & TechCrunch (21:21) "You can't skip levels of the video game" (27:58) Why people still trust Yahoo in the AI era (30:26) How Yahoo Scout competes with ChatGPT & Perplexity (33:48) Saying no to the AI gold rush? (37:31) From turnaround to comeback (39:42) One of the fastest paybacks in Apollo history (42:50) The biggest mistake companies make at scale (44:21) Silicon Valley startups are now worth more than Yahoo with 0.1% of its users (46:25) Why Yahoo is ready for the next crash (48:57) Barry Diller, Tinder & the tweet that predicted Yahoo (54:36) Is Yahoo finally back?

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