GEO Fundamentals
How B2B buyers research vendors with AI,
and where you go invisible.
Your buyers have quietly changed how they build a shortlist. Before they visit your site or talk to sales, many now ask an AI assistant who the options are, and the vendors it names make the list while the rest are never considered. This is the discovery stage most brands can't see, and it's where being invisible costs the most.
GEO Fundamentals · Last updated
For the marketing leader who suspects AI is reshaping their pipeline.
B2B buyers increasingly research vendors by asking AI assistants, ChatGPT, Perplexity, Gemini, and Claude, before they ever reach a vendor's site. Half of B2B software buyers now start their vendor research in an AI chatbot rather than Google (G2, 2025). When an assistant answers "who are the leading options for X," the companies it names enter the shortlist and the ones it omits are cut before anyone evaluates them. That discovery stage is where most brands are invisible, and where absence is most expensive, because you can't win a comparison you were never entered into.
The shortlist forms in AI
Buyers ask an assistant who the options are before they visit a site. The names it returns become the consideration set.
You lose without knowing
Absence at discovery leaves no bounce and no lost deal to trace, just silence where a mention should be.
Ranking isn't being named
A page can top Google and still never be quoted by an AI answer. Different scoreboard, different work.
The buying journey moved into AI
Discovery used to start with a search box: a buyer typed a problem into Google, opened ten blue links, and assembled a shortlist from what they found. That starting point is migrating into AI, part of a broader shift reshaping B2B buying. What matters here is the new mechanic. Instead of ten links to sift, a buyer now asks an assistant a direct question, "what are the best tools for X," "who competes with Y," "which vendors handle Z for a company our size," and gets back a short, synthesized answer naming a handful of options. That answer is the shortlist, assembled by the model rather than the buyer.
This isn't a fringe behavior. In G2's 2025 survey of more than a thousand B2B software buyers, 87% said AI is changing how they research, and 6sense's 2025 buyer report found 94% now use AI somewhere in the buying process. The assistant is becoming one of the first sources a buyer consults, and often the one that frames the rest, because it hands them a ready-made list before they've formed their own. The consideration set now takes shape upstream of your website and your sales team, in a conversation you never see.
What "invisible" actually means here
In AI search, invisibility means absence. When an assistant answers a discovery question with five named vendors and you aren't one of them, you aren't ranked sixth. You're just not in the set the buyer carries forward. There's no impression, no click you can watch drop, no lost RFP to review. The deal you never entered leaves no trace, which is exactly what makes this stage so easy to miss and so expensive to ignore.
The asymmetry is the hard part. A brand can have a sharp product, strong references, and a site that converts well, and still lose at discovery to a weaker competitor that the model happens to name. You can win almost every comparison you're invited into and still lose the market, if you're rarely invited. That's why visibility at the top of the funnel, not persuasion further down, is usually the real constraint. It's also a solvable one. In the Insynctive engagement, a B2B platform went from roughly 1.3% to 16% visibility, about 12× more visible, in six weeks, once its pages were built to be read and cited. The discovery stage can be won back; the first step is knowing you're losing it.
Where in the journey it happens
The risk isn't uniform across the buying journey. A B2B purchase moves through rough stages, and AI shows up unevenly across them:
Problem identification. The buyer describes a symptom and asks what's causing it or what category of tool addresses it. They may not know your category exists yet, let alone your name. This is the earliest and most invisible stage for most brands.
Solution exploration and shortlisting. The buyer asks who the options are and what separates them. This is where the consideration set is built, and where being named or omitted decides whether you go further.
Comparison. The buyer weighs a few named vendors against each other. Brands tend to do better here, because by this point they're already in the set, which is precisely the point: you have to be named earlier to be compared at all.
Validation. The buyer confirms what they've learned, often with a human. This is where sales earns the deal, but the set it works from is largely fixed by now: 6sense found that across roughly 4,000 B2B purchases, 95% of winning vendors were already on the buyer's Day One shortlist, formed before any sales engagement, and that buyers fill most of their five or so shortlist spots before sales is involved. AI increasingly shapes that early list. Sales closes it. If you're absent when it forms, you never reach the conversation your team would win.
The pattern is consistent. Brands are least visible at the top, where the set is built, and the cost of that compounds downstream. Winning the comparison stage doesn't help if you're not in it.
How to tell if it's happening to you
You don't need a tool to get a first read. Ask the assistants what your buyers ask them, and pay attention to whether you show up. The full step-by-step, with the prompts and how to read them, is in is your brand visible in AI search; the short version:
Ask the discovery questions. In ChatGPT, Perplexity, Gemini, and Claude, run the phrasings a buyer would use: "best [category] for [use case]," "top alternatives to [a competitor]," "who are the leading [category] vendors for [segment]." Note whether you're named, whether you're described accurately, and which competitors appear when you don't.
Check that AI can even read you. If you're absent everywhere, the cause is sometimes upstream of content: many AI crawlers don't run JavaScript, so a site that assembles itself client-side can be invisible to them even while it ranks on Google. Why a site that ranks on Google can be invisible to AI covers how to check that.
Treat one pass as a smoke test, not a measurement. A single manual run is a snapshot, and answers vary between runs and between engines, so it tells you whether you have a problem, not its full shape. A real read runs a fixed set of buyer-intent queries across the engines on a recurring basis, which is what turns anecdotes into a trend you can act on. A free AI Visibility Snapshot is the fast version of that first look.
Why it's not a content-volume problem
The instinct when you discover you're invisible is to publish more. It rarely works, because volume was never the constraint. What decides whether you're cited is whether a model can read your pages and lift a clean passage from them. Ranking in search and being cited in an AI answer are different outcomes: search rewards pages that satisfy an algorithm across a whole document, while AI answers are assembled from specific, self-contained passages a model can quote. A library of keyword-built posts can rank well and still give an assistant nothing clean to pull.
Getting named in AI answers is a different discipline: making your company legible to the engines, technically readable, clearly structured, and specific enough to quote, on the questions your buyers actually ask. That's what GEO is, and how it differs from SEO is the difference between ranking and being cited. More volume aimed at the old scoreboard doesn't move the new one.
Where Resonate Labs fits
Your shortlist is forming in AI whether or not you can see it. Resonate Labs makes that stage visible, then helps you win it back. The starting point is a read on where you actually stand: a free AI Visibility Snapshot shows how AI engines describe your company today, and the full AI Visibility Crawl runs a fixed set of buyer-intent queries across ChatGPT, Claude, Gemini, and Perplexity, scoring where you're named, cited, or absent and mapping it to the buying stages, so you can see exactly where in the journey you drop out rather than guessing.
From there the work is closing the gaps: the measurement points at the specific questions where buyers don't find you, and the fixes are the pages and structure that get you named on them. The top of the funnel is winnable, and the Insynctive case study shows it: from about 1.3% to 16% visibility in six weeks on the same matched query set. If you suspect the shortlist is forming without you, the cheapest next step is to find out. Book a call if you'd rather talk it through.
Frequently asked questions
Do B2B buyers really use AI to choose vendors?
Increasingly, yes, especially in software. Half of B2B software buyers now start their vendor research in an AI chatbot rather than Google, and 87% say AI is changing how they research (G2, 2025); 94% use AI somewhere in the buying process (6sense, 2025). Buyers ask assistants like ChatGPT, Perplexity, Gemini, and Claude who the options are and what separates them, and the vendors named in those answers enter the shortlist. AI now sits ahead of both your website and your sales team, as the layer where the consideration set forms first.
If buyers still talk to sales reps, does AI visibility matter?
It matters more, not less. 6sense found that 95% of winning vendors were already on the buyer's Day One shortlist, formed before any sales engagement, and that buyers fill most of their roughly five shortlist spots before sales is involved. AI increasingly shapes that early shortlist; sales closes it. So the sequence is the catch: if an assistant doesn't name you when the buyer decides who to consider, you're never in the set that reaches the sales conversation you might win. Being absent at discovery removes you from the human stage entirely, before anyone on your team gets a chance.
How do I know if my company is invisible in AI answers?
Start by asking the assistants the questions your buyers actually ask, phrasings like "best [category] for [use case]," "top alternatives to [competitor]," or "who are the leading [category] vendors," across ChatGPT, Perplexity, Gemini, and Claude, and see whether you're named and described accurately. One manual pass is a snapshot and results vary between runs, so it tells you whether you have a problem, not the full picture. A real read runs a fixed query set across the engines on a recurring basis; a free AI Visibility Snapshot is the fast version of that first look.
We rank well on Google. Doesn't that cover AI?
Not reliably. Ranking in search and being cited in an AI answer are different outcomes with different requirements. A page can sit at the top of Google and still never be quoted by an assistant, either because AI crawlers can't read it or because it isn't structured as a liftable, self-contained answer. Search rankings help, but they don't transfer automatically to AI answers. The technical half is why a site that ranks on Google can be invisible to AI, and the difference in the work is what separates GEO from SEO.
Next step
Find out where you disappear.
Start with a free AI Visibility Snapshot for a no-commitment read on whether AI names you when buyers ask. The full AI Visibility Crawl maps exactly where in the buying journey you drop out, scored across every engine:
- The questions your buyers ask AI, and whether you're named
- Where you're visible, cited, or absent across the four engines
- What the first 30 days would move