Why we do this
The way buyers find you has changed.
Somewhere right now, a buyer in your category is researching options. They’re not on Google. They opened ChatGPT, typed a specific question, and got a shortlist with reasoning.
They’ll spend the next twenty minutes reading that analysis. By the time they visit any website, they already know who they want to talk to.
This page explains how that works, who’s building for the new landscape — and how to be among them.
Buyer behaviour
Three moments.
Each one real.
Finance · Procurement
The CFO who never visited the incumbent’s website
A CFO at a growth-stage technology company needs a new cash management platform. She opens ChatGPT and asks which platforms are built for companies at her stage and scale. Four vendors come back with specific reasoning. One is a two-year-old fintech she’s never heard of — cited in industry coverage, clear about what it’s built for, easy for AI to map to her context. A major incumbent with a long track record and strong brand recognition doesn’t appear. Not because their product is wrong for her. Because AI can’t construct a useful picture of them from what they’ve published.
Two years of focused publishing outweighed twenty years of market presence.
Professional services · Talent
The search firm that published its way onto the shortlist
An HR director needs an executive search partner for a CHRO hire in a manufacturing business. She asks Perplexity. A boutique she’s never come across appears — they publish a quarterly benchmark on CHRO compensation in industrial sectors, their partners write on succession dynamics in operational businesses, and their practice area is specific enough for AI to map directly to what she needs. A well-known generalist firm with a global footprint and decades of C-suite placements isn’t mentioned. Their website describes their approach as “transformative leadership partnership.” AI has very little to do with that.
One benchmark report did more for discovery than twenty years of placements.
Consulting · Agentic
The briefing that nobody sent
A strategy director at a management consultancy is tracking the competitive landscape in B2B payments for a long-term client engagement. Instead of weekly manual scans, she configures a Google information agent — announced at I/O 2026 and rolling out this summer — to monitor the space continuously. No search typed. Every few days it delivers a synthesis: new product moves, regulatory developments, vendor positioning shifts, commentary from practitioners. The companies that appear in every briefing are those publishing consistently — analysis, point-of-view pieces, technical explainers. A well-regarded incumbent the client had always considered a fixture of the category has gone quiet. It doesn’t appear. The agent has no signal to work with.
They didn’t fall off the radar. They stopped feeding it.
The data
What the data says
Across every B2B category, AI has become the first stop for research that used to begin with a search engine. The numbers describe a landscape in transition — and a considerable amount of unclaimed territory.
of brands actively investing in SEO receive zero citations from AI search engines — which means the 28% that are cited have the conversation almost entirely to themselves.
In most B2B categories, that’s a very short list. Being on it is worth a great deal.
of B2B software buyers now start their research with an AI chatbot — not a search engine.
The starting point of the buying journey has moved. The audience followed.
B2B software buyers purchased from a vendor they had never heard of, after an AI recommendation.
For the right brand, that’s a deal that didn’t exist before AI made the introduction.
of B2B buyers chose a different vendor than they initially planned, based on AI guidance.
For the brand that gets recommended, that’s a deal they wouldn’t have won otherwise.
of B2B companies are currently invisible in AI discovery.
The gap isn’t between well-run businesses and poorly-run ones. It’s between businesses that have made themselves legible to machines and those that haven’t thought to try yet. That leaves a significant amount of unclaimed territory in most categories.
Google I/O · May 2026
What shifted at I/O 2026
At I/O in May 2026, Google replaced its search interface with an AI-first experience. Sundar Pichai called it “the deepest change in the history of the product.” AI Mode reached a billion monthly users in its first year — the fastest-growing consumer product in Google’s history. A billion monthly users in the first year suggests that, for once, this was not marketing language.
AI Overviews reached 2.5 billion monthly users. Position one organic results now receive less than half the clicks they did two years ago. The link-based model of discovery — type a query, scan a list, choose a link — is no longer the primary interface.
Then Google announced information agents: AI that doesn’t wait for a query. A buyer sets an intent once — monitor this category, watch for these signals — and the agent runs indefinitely, delivering synthesised updates as things change. The shift is from reactive to ambient. Brands with an active, consistent, cross-channel presence show up in that ambient watching. For them, discovery isn’t waiting for a query. It’s already happening.
What comes next
The future we’re building for
Search was never permanent. It was a solution to a specific problem — how do you navigate an internet too large to browse? For twenty-five years, the answer was a ranked list of links. Businesses built entire functions around earning position on that list. AI removes the list.
What comes next is structurally different: ambient intelligence that operates whether or not anyone is actively looking. Information agents monitoring categories. AI embedded in procurement workflows and research pipelines. A layer of machine reasoning that sits between businesses and buyers, forming views continuously. The businesses that build for this now compound that position over time. Structured content, consistent publishing, clear entity signals — these feed into what AI knows and recommends. This is the world CheckMarque is building for, and it’s worth getting into early.
Commercial impact
What visible looks like
in commercial terms
conversion rate for AI-referred traffic
Buyers arrive already informed, already past the awareness stage. Conversations start further along and move faster.
more organic clicks per impression for cited brands
Buyers who encounter a brand through AI search for it directly. They arrive at sales conversations pre-educated.
“The gap between cited and uncited is not a ranking gap. It is a consideration gap. Cited brands enter deals. Uncited brands don’t know the deal was happening.”
As AI features absorb more of the search results page, organic click-through rates compress. Cited brands generate branded search from buyers who first encounter them in AI answers. That’s a compounding advantage that starts accumulating now.
Mean uplift
in AI citation share
What we do about it
Bespoke beats generic.
CheckMarque runs a 120-point audit across the three dimensions that determine citation: content, technical infrastructure, and market presence. Every signal scored Pass, Fail, or Veto — a single Veto blocks citation regardless of everything else. A bespoke engagement produces a mean uplift of +37% in AI citation share compared to category peers. Generic GEO tools applied without strategic context show a slight negative effect. What works is understanding how AI evaluates your specific category, and building for that.
Princeton & IIT Delhi, KDD ’24 · Surfer, 2025 · Semrush, 2025
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