Your buyer opens ChatGPT and types a question. Not a search query — a real question, the kind they'd ask a knowledgeable colleague:
ChatGPT generates a confident, structured answer. It lists four platforms. It explains the tradeoffs. It makes a recommendation based on company size and requirements. The buyer reads it, clicks through to the top two suggestions, and starts a trial.
If your company isn't in that answer — even if you rank #1 for every relevant keyword in Google — you were never considered. The shortlist was built before your buyer visited any vendor website, before your SDR sent a single email, before any paid ad was shown.
This is already happening. The question is whether it's happening for you or against you.
This isn't a future concern. Daily AI search users in the US rose from 14% of adults in February 2025 to 29.2% by August 2025 — a doubling in six months. (Datos Intelligence, 2025) Google's AI Overviews reached 2 billion monthly users by Q2 2025. Gartner predicts 25% of traditional search volume will shift to AI-powered platforms by 2026.
The buyers most likely to be in this cohort are exactly the people you're trying to reach: digitally-native professionals doing independent pre-purchase research, often before they ever engage a vendor.
B2B AI search behavior tends to cluster around three types of queries — all of which happen early in the buying journey:
Vendor discovery: "What are the leading [category] platforms for a [company size] company?" "Who are the top [category] providers in [industry]?" These queries are where your brand either appears on the initial longlist or doesn't.
Feature and capability comparison: "How does [your category] handle [specific use case]?" "Which [category] tools have the best [integration/feature]?" These queries shape how buyers understand the category and what questions they bring to demos.
Competitive shortlisting: "What are the best alternatives to [dominant competitor]?" "[Competitor A] vs [Competitor B] — which is better for [use case]?" These queries directly determine which vendors make it onto a formal evaluation list.
If your brand is absent from these queries, you're not just missing traffic. You're being excluded from the consideration process itself.
The impact compounds through the funnel. Consider a hypothetical scenario:
That's not leads you're converting poorly. Those are leads that never existed — buyers who formed a shortlist that didn't include you and moved on to evaluate your competitors.
You might be thinking: we miss Google rankings too, and we still hit our numbers. This is different in three important ways.
AI answers carry implicit authority. When Google returns 10 blue links, buyers understand they're looking at a list of options to evaluate. When ChatGPT says "the best solution for your use case is X," it reads as a recommendation from a trusted, knowledgeable source — not an index of options. Buyers who get AI recommendations are in a different mental state than buyers who see a SERP.
AI answers shortlist, not just drive traffic. Google affects how many people visit your site. AI answers affect whether buyers consider you at all. Absence from AI answers means absence from the mental model your buyers form before they start any formal vendor evaluation.
The competitive impact is asymmetric. If a competitor appears in AI answers and you don't, that competitor gains the trust and credibility that comes with being recommended by an AI model. They walk into demos with a different status. This shapes every subsequent interaction in the sales process.
According to eMarketer, 54% of US marketers plan to implement GEO (Generative Engine Optimization) within the next 3–6 months. That means the majority haven't started yet.
Brands that establish AI search presence now gain a compounding advantage: LLMs develop preferences for sources they consistently encounter across the web, and those preferences are hard to displace once formed. The brands that establish AI visibility in 2026 will be significantly harder to dislodge in 2027.
1. Run the test yourself. Open ChatGPT and type 5 queries your buyers would actually use — vendor comparisons, category searches, "best [category] for [company type]" queries. Write down which brands appear. If you're not in the answers, now you know your baseline.
2. Check your co-citation footprint. Search your brand on Reddit, G2, and Capterra. These are among the sources AI models weight most heavily when forming opinions about B2B brands. If you have thin or no coverage on these platforms, that's a primary driver of AI invisibility — regardless of how strong your website SEO is.
3. Bring this to your marketing team as a revenue conversation. AI search invisibility is a pipeline issue, not a content issue. The framing matters: this isn't about optimizing another channel — it's about ensuring your brand appears in the consideration process for buyers who are already actively looking for what you sell.
We run a free AI visibility check — testing your buyers' actual queries across ChatGPT, Perplexity, and Google AI Overviews, with competitive benchmarking included. No pitch. Just your current position.
Get Your Free Visibility CheckB2B buyers use AI search for early-stage vendor discovery — asking questions like "what's the best [category] tool for a 200-person company," "how do leading B2B teams solve [problem]," and "[competitor] vs [category] alternatives." These AI-generated answers shape the shortlist before buyers visit any vendor website or speak with any sales rep.
AI Share of Voice measures how often your brand appears in AI-generated answers to your buyers' most common research queries. If buyers are asking 10 questions in their vendor research process and your brand appears in 2 of those answers, your AI Share of Voice is 20%. Brands not present in those answers are effectively invisible during AI-assisted shortlisting.
Yes. Google AI Overviews reached 2 billion monthly users by Q2 2025. Daily AI search users in the US rose from 14% in February 2025 to 29.2% by August 2025. Gartner predicts 25% of traditional search volume will shift to AI platforms by 2026. For B2B companies, the buyers most likely to use AI for vendor research are exactly the digitally-native buyers doing independent pre-purchase research.
Traditional SEO determines how high your pages rank in Google search results — affecting click-through traffic. GEO (Generative Engine Optimization) determines whether your brand is cited in AI-generated answers — affecting whether buyers consider you at all during their research. They operate at different stages of the same buyer journey.
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We test 15 of your buyers' top queries across ChatGPT, Perplexity, and Google AI Overviews — and show you exactly where you appear, where competitors are being cited, and what's driving the gap.
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