Brand Strategy

Brand Strategy Market Research Apr 21, 2026

What McKinsey's 44% / 16% Numbers Really Mean for Your 2026 Marketing Plan

Two numbers from McKinsey's August 2025 report have travelled further than any other statistic in the AI visibility conversation: 44% of US consumers use AI search as their primary source for purchase decisions, and only 16% of brands systematically measure their AI visibility. Those numbers appear on investor decks, in pitch emails, and at the top of almost every GEO article written since. Most of the time, they are cited without context. This post unpacks what the data actually measured, what it did not, and how a marketing team should translate the headline into a plan.

#For CMOs #AI Visibility #Framework

AI Visibility Brand Strategy Apr 19, 2026

The Authority Waterfall: Why AI Visibility Flows From Upstream Credibility

The first time a marketing team runs an AI visibility audit and sees a disappointing score, the reflex is almost always the same: what do we change on our site to fix this? Schema markup, structured data, better on-page content, a clearer about page. All of those are reasonable instincts. Most of them are also wrong — not because they do not matter, but because they operate downstream of the actual cause. This post introduces a framework we call the Authority Waterfall: the model that explains where AI visibility actually comes from, and why the fix is rarely on the page that fails the audit.

#For Founders #For CMOs #AI Visibility

Brand Strategy Strategy & ROI Apr 18, 2026

The Cost of AI Invisibility: Modelling the Pipeline Impact of Being Missing

"What does it cost us to be invisible in ChatGPT?" is the question every CMO eventually asks, and the one most tools refuse to answer. The honest answer is that the model is straightforward — TAM, research-channel share, mention rate, and a conversion coefficient — but the inputs require work to defend. This post builds the model in full, runs a worked example for a mid-market B2B SaaS, and shows where the numbers turn brittle. You can copy the structure into a spreadsheet in about twenty minutes.

#For CMOs #AI Visibility #Framework

AI Visibility Brand Strategy Apr 15, 2026

The Shift From Search to Answer: Four Years That Redefined Discovery

In late 2022, a buyer researching a product opened Google, scanned ten blue links, clicked two or three, and formed an opinion across several tabs. In 2026, the same buyer opens ChatGPT, types a question in a sentence, and reads one composed paragraph. The channel has not widened — it has compressed. This is the most consequential shift in discovery since the launch of Google itself, and it breaks several things marketers have treated as stable for two decades.

#For CMOs #AI Visibility #AI Overviews

Brand Strategy Market Research Apr 14, 2026

Gartner's 25% Search-Volume Drop by End of 2026: What to Model For

In February 2024, Gartner forecast a 25% drop in traditional search engine volume by the end of 2026, driven by AI chatbots and other virtual agents. Two years later, the forecast is still being cited at board meetings — usually as a scare quote, sometimes as a justification for buying an AI visibility tool, rarely as the input to an actual model. That last use case is the most interesting. A 25% channel contraction is a planning constraint; if you do not convert the headline into a spreadsheet, the number bounces off the strategy without landing.

#For CMOs #Framework #Gartner

AI Visibility Brand Strategy Apr 9, 2026

"We're Too Small for AI to Know Us" — Why This Is the Most Self-Defeating Sentence in 2026 Marketing

"We're too small for AI to notice us" is the single most common sentence spoken by founders and early-stage marketers when the subject of AI visibility comes up. It feels humble. It feels realistic. It is, in the overwhelming majority of cases, wrong — and more importantly, it is the exact sentence that determines who captures the category-authority window in 2026 and who does not. This post unpacks what actually drives LLM recognition (hint: not employee count), explains why size correlates weakly with visibility, and offers the corrective framework a founder can apply in an afternoon.

#For Founders #AI Visibility #Myth-Busting

Brand Strategy Market Research Apr 7, 2026

Forrester on B2B: Why Buyers Adopt AI Search 3× Faster Than Consumers

B2B is supposed to be the laggard. For two decades, consumer behaviour has set the adoption pace on every major channel — search, social, mobile, video — and B2B has followed 12 to 24 months later, after the early returns were clear and procurement teams caught up. Forrester's 2025 research on AI search upended that pattern. According to their work, B2B buyers are adopting AI search roughly three times faster than consumers, with 90% of organizations already using generative AI somewhere in the buying process. The pattern flip matters, and it changes how B2B marketing teams should be planning for 2026 and 2027.

#For CMOs #B2B SaaS #Forrester

Brand Strategy Strategy & ROI Apr 4, 2026

Budget Allocation 2026: How CMOs Should Think About GEO as a P&L Line Item

Adding GEO to a marketing budget is not an addition problem — it is a reallocation problem. The brands that handle it badly treat it as a new zero-sum ask from finance; the ones that handle it well treat it as a line that already exists somewhere in the P&L, waiting to be renamed and funded properly. This post walks through the three places that line usually hides, the allocation heuristics that hold up in board meetings, and the staffing and cadence decisions that make the line operate, not just sit.

#For CMOs #Playbook #Framework

Brand Strategy SEO Apr 2, 2026

"SEO Already Covers This" — The Rebuttal You Can Forward to Your CMO

The sentence "our SEO tool already covers this" is pronounced confidently in most CMO-level meetings when GEO comes up, and it survives scrutiny less well than it sounds. The objection collapses around a specific structural mismatch: SEO tools measure ranking in a list of results, and LLMs do not produce lists of results. Once the unit of success is different, the tooling that measures one unit cannot substitute for the tooling that measures the other — a point worth making precisely, because the underlying confusion is costing marketing leaders real budget decisions every week.

#For CMOs #For SEO Managers #Myth-Busting

Brand Strategy Strategy & ROI Mar 21, 2026

The 18-Month Category Window: Why AI Visibility Share Is Being Locked In Now

In most marketing channels, a late start is a fixable problem. In AI visibility, the evidence suggests otherwise. The brands that establish category authority inside the next 18 months — the period when training windows, retrieval corpora, and citation graphs are still forming around each vertical — will be disproportionately represented in the answers LLMs compose for years. This is not vendor narrative; it is a structural property of how these systems learn. This post explains why, and what a responsible first-mover strategy looks like.

#For CMOs #GEO #Framework

AI Visibility Brand Strategy Mar 8, 2026

Share of Model: What Share of Voice Becomes in the LLM Era

Share of Voice has been a marketing fixture for thirty years. It measured your brand's share of media mentions, press coverage, or paid impressions against competitors. It was crude, it was useful, and it gave boards a number to argue over. The underlying channel has shifted — media coverage and paid impressions are no longer where most buyers first hear your brand named. The channel that matters most today is the composed answer of a language model, and the right analog for SOV in that channel has a different name: Share of Model.

#For CMOs #AI Visibility #Share of Model