Victorious

You can do everything right on your own website and still not get named when someone asks an AI tool about your category. Our Q2 research looked at whether a verified presence in Google's Knowledge Graph tracked with how often a brand gets named in AI answers. We found no stable relationship. What correlated strongly was how much the rest of the web talks about a brand. The mechanism is co-occurrence. When a brand and a topic keep appearing together in content that carries weight, AI systems learn to associate them, and that association is what surfaces a brand in an answer. Content on your own site starts the association. Mentions on sites you don't own confirm it, and they feed both what a model absorbs in training and what it retrieves when it searches the web mid-conversation. That makes third-party mentions the most effective variable we know of for moving a brand from being accurately understood to being actually named. Learn more in episode 10 of The Search Signal: https://buff.ly/cJRHVM0

Google just changed what "ranking" means for open questions. At I/O, Liz Reid introduced information agents: background agents that watch the web for searchers when there's not an existing answer to their question. Google will surface an answer the moment one exists, instead of making you search again. These agents are built to catch questions the web hasn't answered yet, so they won't show up in your keyword research. Most brands will miss that opening for exactly that reason. Publish the first credible answer to one of those unanswered questions, and Google can deliver you straight to someone who's already waiting for it, without you ever ranking for a keyword in the traditional sense. Keyword volume tells you what people have already been asking, but it can't tell you what they're about to ask. That's worth building into your content calendar now, while most teams are still waiting for search volume to catch up.

Can an AI model explain what your company does in the context of a real buyer problem? According to new Semrush research, 97% of B2B buyers said AI surfaced a vendor they hadn't heard of before, and 80%+ said it shaped a purchase decision over $1,000. Being well known doesn't help if the AI can't describe what you do in the context of what the buyer actually needs. Check your top pages for plain-language problem-solution matches. That's what's being served up right now.

According to research from Microsoft's Clarity team, AI-referred traffic converts at roughly three times the rate of other channels. Some people call this the "perfect click." Someone who clicks through after reading an AI answer has already narrowed their choices, so they land on your site far closer to making a final decision. With all the noise about zero-click search, it might be easy to miss the upside of this trend. AI answers may send fewer visitors, but each one arrives better educated and more ready to buy than a traditional search visitor. Learn more in episode 9 of The Search Signal: https://buff.ly/ASALsbY

Google confirmed a Top Stories carousel is now live inside AI Overviews for US mobile users, surfacing developing news stories and giving extra visibility to sources people have marked as preferred. The placement runs on freshness and authority rather than the ranking signals most search engine optimization (SEO) teams have spent years optimizing for. Google hasn't said whether people actually click these links or just see them appear, which leaves search teams with two things worth checking: are you positioned to earn Top Stories and Preferred Sources placement on the topics you want to own, and are you tracking clicks on those placements or only counting impressions? If it's only impressions, you might be reporting visibility that never actually reaches anyone.

New in Google Search Console: a report that shows which pages are earning visibility inside AI Overviews, AI Mode, and AI-powered Discover. Swipe through for what's in the new report and what to do with it once you have it. If you've got access already, pull the pages dimension and check it against your priority pages. That's your fastest read on whether AI search is treating your best content the way you'd want it to.

Victorious won Best SEO Campaign at the 2026 US Agency Awards. The judges called it "an exceptionally strong SEO campaign combining entity-based search strategy, AI overview optimization, and clear commercial impact." Our customer, a finance SaaS company, runs two B2B products, each competing in its own category against its own incumbents. A single brand-level strategy would have diluted the topical authority both products needed, so we treated them as separate search entities, each with its own keyword themes, content roadmap, link profile, and acquisition cadence. We also built the site's AI Overview citation strategy from scratch, before most teams had settled on how to measure that kind of visibility at all. This is the methodology we rebuilt for AI-era search (and beyond), and this campaign was an early proving ground. → 65% more top-3 keyword rankings → 15x more AI Overview citations → 153% more non-branded organic traffic → 17% more organic form submissions, the number the other three exist to serve This win belongs as much to our customer as it does to our team. Thank you for building it with us.

No tool tells you which AI platform your buyers use. Three credible surveys on AI product research all came back with different numbers. Usage stats don't help either; different platforms have different definitions of "user." So this comes down to budget. Treating AI search as one bucket is less expensive to run, but leaves you with a narrow point of view. Resource every platform properly, and you get the best outcome for the most money. Most companies land in between, going deep on two or three surfaces and letting the foundational work cover the rest. Our take: start with Google's surfaces. AI overviews, AI mode, and traditional search draw from the same work, and almost six in 10 people run a Google search right after getting an AI recommendation anyway. To choose your second platform, skip the published user counts. Match your buyers' media diet to the platform whose citation pool looks most like it, then give it a quarter and stay close enough to the data to know if you were right. Learn more in episode 8 of The Search Signal: https://buff.ly/1pM589C

A Semrush study of more than 600,000 keywords found AI Overviews growing 71% on commercial-intent searches over six months. The keywords triggering these overviews tend to carry real ad value. In categories like jobs and education, keywords with an AI Overview had an average CPC more than 3 times higher than keywords without one. This doesn't show up in a rankings report, though. Your position on the page can stay exactly where it was while the AI answer takes the click that would have converted. Worth asking your team exactly how you show up inside those overviews on your highest-value commercial terms.

Google's AI Mode can now hand off tasks to partner apps instead of just answering questions. Since mid-July, connected integrations with Instacart, Canva, and YouTube Music let people act on an AI Mode response without leaving Search. Ask it to build a grocery list for a barbecue, and it'll add the ingredients to your Instacart order, though checkout still happens in Instacart's app or site. It can also pull calendar context to suggest Canva templates for a party flyer, or build a mood-based playlist in YouTube Music that you can save and play. Google says more partners are coming. If that applies to your category, the visit that used to land on your site will start happening inside Google instead. Two things worth doing now: - Check whether a competitor in your space is already an integration partner. - Pull your last 90 days of Search-referred conversions as a baseline to measure against.