GEO in 2026: Who's Winning AI Search — And Who's About to Miss It Entirely

Most businesses haven't touched GEO yet. AI search traffic is growing 165x faster than organic search. Here's who's moving first, who'll benefit most, and why the window to act is narrower than you think.

Here's a number worth sitting with: AI-referred web sessions jumped 527% in the first half of 2025 alone.

Not year-on-year. In six months.

And yet, according to McKinsey, only 16% of brands are systematically tracking their AI search performance. That gap — between how fast AI search is growing and how slowly businesses are responding — is the single biggest opportunity in digital marketing right now.

So who's moving first? Who stands to gain the most? And what happens to the businesses that wait?

How few websites have actually optimised for AI search

Let's start with the most striking stat: only 23% of marketers are currently investing in GEO measurement and optimisation.

That means roughly 3 in 4 businesses have done nothing. Zero schema markup for AI. No FAQ structure. No entity optimisation. No consideration for how ChatGPT or Perplexity reads their content.

Meanwhile, ChatGPT alone is processing 2.5 billion prompts per day. Google AI Overviews now appear in nearly 1 in 5 searches. And only 34% of companies have even trained their teams on what GEO is.

We're at the very beginning of a land grab — and most businesses haven't shown up yet.

The industries moving first

Early GEO adoption isn't random. Certain industries are being pushed into it faster than others, either because AI search is already disrupting their customer acquisition, or because they have the resources and risk tolerance to move quickly.

Technology and SaaS

Enterprise SEO teams integrated AI into their workflow at an 86% rate in 2025 — the highest of any sector. Tech companies live and die by search visibility, have in-house technical teams who can implement changes quickly, and are generally more aware of AI trends. They're also the most likely to be the subject of AI queries ("what's the best project management software for a remote team?"). Expect this sector to be well-optimised within 12–18 months.

Healthcare and professional services

Healthcare triggers AI Overviews in 87% of relevant queries — the highest of any category. When someone asks ChatGPT "what are the symptoms of X" or "find me a physiotherapist in Leeds", AI search is already in the conversation. Health and professional services businesses that get their content and schema right early will dominate recommendations in their area. Those that don't will lose ground to whoever does.

E-commerce and retail

Adobe reported that AI-driven traffic to retail websites jumped 4,700% year-on-year by July 2025. Amazon, Walmart, and Carrefour have all built dedicated AI shopping tools. ChatGPT rolled out in-platform checkout in late 2025. Retailers are being pulled into AI search whether they're ready or not — the question is whether they show up on their own terms or get left out of the recommendations entirely.

Financial services and legal

These sectors are slightly behind in adoption, but the value of a single AI-recommended client is enormous. When someone asks "which mortgage broker should I use" or "find me an employment lawyer in Manchester", the business that's recommended wins a high-value customer who already trusts the recommendation. The incentive to get GEO right here is extremely high.

Local services

This is the most underserved and most opportunity-rich category. Most local businesses — accountants, dentists, tradespeople, restaurants — have never heard of GEO. Yet local queries ("best plumber near me", "find a Thai restaurant in Edinburgh") are exactly the kind of conversational searches AI tools handle constantly. The local business that gets proper entity markup, consistent NAP data, and strong reviews in place now will be the one AI recommends for years.

The industries that will benefit most

Being first isn't the same as benefiting most. Some sectors have more to gain from AI search than others, based on how people actually use AI to make decisions.

Professional services (accountants, lawyers, consultants)

These businesses live on trust and reputation. AI recommendations carry enormous weight — if ChatGPT says "for small business accounting in your area, [name] is highly regarded", that recommendation is worth far more than a Google ranking. And because professional services queries are long-tail and high-intent ("find me a specialist employment solicitor who works with SMEs"), there's less competition for AI citations.

B2B services and agencies

Forrester found that 89% of B2B buyers have adopted generative AI as a key information source. When your buyer is using AI to research vendors, being in the AI's recommended shortlist is no longer a nice-to-have — it's the top of the funnel. B2B companies that invest in content authority and structured data now will appear in those shortlists. Those that don't will be invisible before the conversation even starts.

Education and training

Education triggers AI Overviews in 87% of queries — matching healthcare at the top. Course recommendations, professional development, certification programmes — these are exactly the kind of considered, research-heavy decisions people use AI for. An education provider with strong GEO could appear in thousands of AI-generated recommendations per day.

Hospitality and travel

Trip planning is one of the most AI-assisted activities in the consumer journey. "Best boutique hotels in Lisbon under £150", "family-friendly restaurants in Chiang Mai" — these queries are ideal for AI. Hotels, restaurants, and travel businesses with well-structured data, strong review presence, and AI-readable content will be recommended. Others won't appear at all.

Some numbers that should make you act

Beyond the anecdotal, here's what the data says about the value of getting this right:

AI search traffic converts at 4.4x the rate of traditional organic search. Visitors who arrive via AI have already had their question answered — they're not browsing, they're deciding. That difference in intent means even a small amount of AI-referred traffic can be worth more than a large amount of traditional search traffic.

GEO techniques improve visibility in AI responses by 40% on average, according to research from Princeton University. That's not a marginal gain — it's nearly double the visibility from a targeted set of optimisations.

Businesses cited in AI Overviews see 35% higher organic click-through rates even on traditional search. Being recommended by AI reinforces authority in every channel, not just AI search itself.

By 2028, McKinsey projects $750 billion in US revenue will flow through AI-powered search. The businesses embedded in AI recommendations now will be the ones capturing that revenue.

The window is real — but it won't stay open

The argument for moving now isn't just about growth. It's about defensibility.

SEO provides a useful comparison. In the early 2000s, businesses that invested in SEO early built authority that took years for competitors to displace. Domain authority, backlink profiles, content depth — these things compound over time. Getting in early meant staying in front.

GEO works the same way. AI models build their understanding of which businesses are authoritative based on the web as it exists when they train. The businesses with structured data, cited content, strong third-party presence, and clear entity signals already in place will be the ones AI tools default to recommending — and changing that default takes time and consistent effort.

Only 47% of brands have a deliberate GEO strategy right now. That number is rising fast. Every month, more agencies add GEO to their offering, more content teams learn what it involves, more businesses start building their AI visibility.

The window to get in early is 12–18 months, maybe less in competitive sectors. After that, GEO goes from competitive advantage to baseline requirement.

What this means practically

You don't need to be a technology company or a global brand to benefit from GEO. In fact, the smaller and more local you are, the more impactful early GEO investment tends to be — because you're competing against businesses that are even less prepared than the big brands.

The fundamentals are the same regardless of sector:

— Make sure AI tools can clearly understand what your business is and does

— Implement structured data so your information is machine-readable

— Create content that directly answers the questions your customers ask AI tools

— Build your presence on third-party sources that AI tools trust

— Be consistent — your name, description, and location should match across every platform

None of this is technically complex. But it requires intention, and it requires doing it now — while the majority of your competitors are still trying to figure out what GEO means.

The businesses reading this in 2027, wondering why AI never recommends them, will wish they'd started in 2025.