Marketers Are Putting 24% of Search Budgets Into AI Visibility: Close the GEO Gap

AI search has moved from an experiment to a budget line. A new Digiday analysis published August 7 shows marketers now route about 24% of search or content budgets to AI visibility work. Fractl’s underlying survey found 82% of marketers have allocated at least some budget to the effort, while 43% are putting more than 20% toward it.

That is a meaningful shift in where marketing dollars go. It is also a warning: many teams are funding GEO (generative engine optimization) before they have built the operating system to manage it. As Digiday put it, marketers are “flying the plane while building it.” For business leaders, the question is no longer whether AI search matters. It is whether the investment is producing durable visibility, accurate brand representation, and measurable demand.

AI search now shapes the shortlist before Google sees the buyer

AI is not simply another place to capture a click. It is increasingly the place where buyers decide which brands deserve further research. Similarweb’s 2026 AI Brand Visibility Index, based on its U.S. Market Research Panel, found that 35% of consumers use AI tools at the product-discovery stage, compared with 13.6% who start with traditional search. At the final purchase stage, the gap narrows to 24.3% for AI and 22.1% for search.

The implication is strategic: search still helps close the final mile, but AI increasingly determines which brands make it into that mile. A company that waits for referral traffic to prove AI’s value may discover that the most important influence happened before a trackable session existed.

Budgets are moving faster than content and governance

The market is signaling urgency, but the infrastructure is not ready. 10Fold’s 2026 B2B content study, conducted with Sapio Research across 400 B2B technology marketing decision-makers in the U.S. and Europe, found that 52% rank AI-generated search and answer engines as their most effective content-distribution channel, compared with 29% for organic search. Yet 41% said only 25% to 49% of their content had been created or updated for AI discovery.

That mismatch creates a familiar failure mode: teams publish more pages, add superficial FAQ copy, and buy another monitoring tool without fixing the underlying sources AI systems use to understand the company. GEO is not a synonym for “write more.” It is the coordinated work of making a brand easy to find, interpret, verify, and recommend across owned content and third-party authority.

The measurement gap is now the biggest commercial risk

The most useful new finding is not the size of the budget. It is how little control many teams have over the outcome. In the 2026 AI Search Survey from Scrunch and Scribewise, based on 602 U.S. marketing and PR professionals, 91% reported having a documented AI-search visibility strategy. But 51% were unsure whether it was the right strategy, and only 45% were testing visibility across AI platforms.

Digiday’s summary of the same research highlights the operational gap: 71% are not tracking share of voice against competitors, 70% are not monitoring brand sentiment in AI answers, and 67% are not analyzing AI bot traffic. That means many organizations are spending to influence a channel they cannot yet benchmark or diagnose. They may not know when a competitor replaces them in a recommendation, when an outdated claim is repeated, or which third-party source is shaping the answer.

What business leaders should do in the next 90 days

1. Set a visibility baseline. Build a fixed prompt set around real discovery, comparison, and purchase questions. Run it across the AI platforms that matter to your customers, recording brand presence, competitor mentions, citations, sentiment, and factual errors.

2. Reallocate toward authority, not volume. Audit the sources AI already cites in your category. Strengthen pages with clear first-party evidence, named experts, original research, transparent data, and consistent product or service facts. FAQ pages can help extraction, but they are rarely a defensible moat by themselves.

3. Connect visibility to business outcomes. Track branded-search lift, qualified inquiries, assisted conversions, and sales conversations alongside AI share of voice. Treat AI referrals as one signal, not the whole measurement model.

4. Add governance before scale. Create an escalation process for inaccurate AI answers, assign ownership for monitoring, and require human review for claims that affect trust, compliance, or customer decisions.

AI search is becoming a discovery layer, a reputation layer, and eventually an action layer. The winners will not be the brands that spend the most on GEO. They will be the brands that turn visibility into verified authority and measurable demand.

Ready to build an AI search strategy that produces business results? Real Internet Sales helps companies strengthen their SEO, GEO, and digital marketing systems for the way customers discover brands now. Call 803-708-5514 or visit realinternetsales.com.