The Search Signal

Google’s Universal Cart went live in the US on October 15, putting one shopping cart across Search, AI Mode, and the Gemini app. Michael spent time with it before recording, saving products from different stores and following them to checkout to see where it works and where it breaks. He covers whether this counts as agentic shopping, why Google wants the experience to be seamless, what Google reads when it compares your prod...

Anthropic updated its usage policy on October 8 to ban using Claude to build networks of fake sources that sway search results and AI answers. The rule takes effect November 12 and reaches every product built on Claude, which means a vendor running that playbook on your behalf puts your whole account at risk. Michael walks through why he reads this as good news, how the case that prompted it got caught, where faking still works, an...

AI assistants decide whether to name your company based mostly on what other websites say about you. This week Michael lays out the three programs Victorious runs to get more of those websites talking, and the two things that have to be in place first.

In this episode:

* The three programs, broadest to most targeted: mention building, link building, citation outreach

* Why mentions beat links for AI visibility, per Ahrefs's 75,000-bra...

When marketing leaders ask whether their technical SEO covers them for AI search, Michael's answer is mostly yes. Google's AI Overviews and AI Mode run on Google's regular index, and most of a standard technical audit carries over to the other platforms. This week he sorts technical work into what to keep, what to start, and the short list of things to skip, including a training-bot decision that removes your own description of you...

For most of the last decade, brand was the marketing line item hardest to defend, because there's no click to track when a buyer arrives already knowing who you are. AI search changes that math. An assistant reads your website, your listings, your reviews, and every page that mentions you in passing, hands the buyer one summary, and decides whether to name you at all. This week Michael connects brand entity work to the brand buildi...

For 15 years, marketing measurement got more precise every year. AI search is moving the other way. An assistant's recommendation happens in a conversation you can't see, and no platform will tell you what was asked. Michael closes out our four-part series on building a full-funnel AI search strategy with the measurement layer: which numbers you can get, why share of voice reads like a poll, and how to report to leadership that wan...

Ranking well and earning citations builds AI systems' trust in your company, but it doesn't get you recommended. This week Michael covers part three of our four-part series on building a full-funnel AI search strategy: what actually decides whether your company's name shows up when someone asks an AI system who to hire. According to Victorious's own research, it has little to do with your website's rankings or traffic. It comes dow...

For most of the history of SEO, the deal was simple: write a page, rank it, get the click. Today about two-thirds of Google searches end without one. This week, Michael argues informational content still has a job to do, just not the one it used to, and lays out how to write it for two readers: the human and the AI system reading right alongside them.

In this episode:

• Informational content now has two readers: humans, who still d...

AI systems answer at the entity level. They pick out the things in a question, then assemble an answer from what they have stored about those things and how they connect. Michael lays out what an entity strategy is, how you build one, and the two things that have to be true before any of it can work.

What you’ll hear in this episode:

• Why checking whether you appeared for one exact prompt tells you almost nothing
• What an ...

Google is rebuilding search around AI Mode, and Michael Transon makes the case that it will become the default way people search. He walks through the evidence, from the rapid spread of AI Overviews to the rise of zero-click results, and explains why AI Mode's modest adoption numbers understate what's coming. Then he gets practical about preparing for it, laying out the four foundations that keep a brand visible on every Google sur...

ChatGPT, Claude, Gemini, Perplexity, and Google's AI surfaces all launched around the same time, so most marketers built one AI search strategy to cover them all. This week, Michael argues these platforms have grown too different for one playbook and explains how to pick which ones deserve their own strategy.

In this episode:

• What every AI platform rewards: pages AI crawlers can read and third-part...

Every competitor can buy the same AI tools you can, at the same price, this afternoon. That makes AI table stakes, which means the thing actually worth funding is the judgment directing it. In this episode of The Search Signal, Michael Transon puts a number on that: about 1 percent of revenue, or $800 a month at $1 million in revenue and $80,000 at $100 million, plus the four arguments to make when your CFO asks why AI can't just d...

This week we discuss Victorious' new quarterly search report and unpack some of the findings. Learn what separates the handful of companies AI names from everyone else it merely recognizes, and why closing that gap happens on the parts of the web you don’t own.


What you’ll hear in this episode:

• Why AI recognizing your brand and AI naming your brand are two different things: 96% of brands were described accurately,...

Most marketers focus on two AI search numbers: mentions and citations. Neither one tells you if a platform describes your brand in a way that introduces reputational risk.


What you’ll hear in this episode:

• The commercial cost when AI gets your brand wrong.
• Two kinds of AI memory and how to address reputation issues accordingly.
• Why ChatGPT, Gemini, and Google AI Overviews can describe brands differently, with more consist...

Ask an LLM about a well-known company and it answers fast, and usually gets it right. Ask something obscure and it can be just as confident and completely wrong. This episode traces that behavior back 40 years, to two rival ideas about how to make a machine understand the world, and shows how their recent fusion is what actually answers questions about your company in AI Search today.


What you’ll hear in this episode:

• W...

Every marketing team has a search dashboard. But that dashboard has a structural blind spot: it can’t see what’s happening in AI search, and it won’t flag that anything is missing. When a buyer finds your brand through ChatGPT, Gemini, Claude, or Perplexity, that visit typically lands as direct traffic with no source attribution. There’s no indication AI was involved and nothing in your reporting to suggest ...

As AI platforms reshape the search landscape, many marketers are falling back on an old, unreliable playbook: chasing individual keyword ranks. In this second episode of The Search Signal, Michael Transon explains why a single snapshot of an AI search response is just noise—and why you need to update your tracking strategy. He breaks down how platforms like ChatGPT, Copilot, and Perplexity source their information differently...

Most search marketers have gotten two completely different answers to this question, and both sound convincing. One camp says answer engine optimization (AEO) is its own discipline that needs its own budget. The other says it's just search engine optimization (SEO) with a new name and your existing program already covers it. In this debut episode of The Search Signal, Michael Transon cuts through the acronym soup to show what the d...