81% Still Call It SEO but Have Already Moved 24% of Budget: The Vocabulary Bubble Inside 343 Survey Responses

The money moved first; the name didn't

On August 24, 2026, Search Engine Land published Fractl's survey of 343 U.S. marketing decision-makers. The sharpest data point: 81% still call AI search visibility "SEO" internally, while the same group already routes an average of 24% of its search and content budget into that work. Author Kelsey Libert discloses in the piece that she co-founded Fractl. The money moved first. The name didn't.

This category was manufactured over the past 18 months. GEO, AEO, LLMO and "AI search optimization" have taken turns trending on LinkedIn, and capital followed. Berlin-based Peec AI closed a $21M Series A in November 2025 — $29M total, $4M ARR in ten months, 1,300+ brands and agencies onboarded. Profound raised $96M Series C at a $1B valuation in February 2026, past $155M cumulative, serving 700+ enterprises. London's geoSurge took a $12M seed in July. Hundreds of millions of dollars have flowed into a category that did not exist three years ago. This survey landed now because investors started asking a basic question: do buyers know what they're buying?

The answer is unflattering. Only 27% of marketing teams have formally adopted a label other than SEO; 42% decided against it and 31% are undecided. C-suite marketers use GEO (28%) and AEO (17%) at roughly three times the rate of individual contributors (9% and 3%) — but the C-suite is also the group most likely to look those terms up (56%). That isn't category maturity. It's category fracture: the top budgets in acronyms, the floor executes in old vocabulary.

For SMBs and independent studios, the value here isn't the percentages being reshared. It's that this one report simultaneously exposes three methodological cracks. Below I lay the numbers out, then flag which one you can take to a client and which one will get you caught.

Unpacking the 343 responses

Budget: 24% of search/content budget on average goes to AI visibility; 82% have committed something, 43% more than a fifth.
Platform priority: ChatGPT 34%, Gemini 16%, Claude 6%, Copilot/Bing AI 5%. Perplexity just 1%; 14% haven't picked a target.
How vendors get found: AI search tools and peer referrals tie for first (34% each), traditional channels 22%, G2/Clutch-style review sites 8%. 66% admit to using AI tools to research a vendor — SEO specialists 89%, performance marketers 84%, C-suite 81%.
Trust signals: verifiable case studies 34%, clear methodology 22%, team track record 15% — 71% combined. Terminology fluency: 9%. Roughly 4:1.
Red flags: buzzwords without explanation 36%, no case studies 21%, vague performance claims 20%, repackaged SEO 16%.
Biggest challenge isn't measurement — it's pace of change (28%), then measuring performance (17%), platform selection (15%), absence of standards (13%).

In short: buyers are already spending, without consensus or method, and they are using AI to check whether you are credible.

Immediate moves for three audiences

Brand owners / SMB leaders

Ask your marketing lead one question: "What share of our search budget goes to AI visibility?" No answer means that 24% is an unaudited line in your house.
Put "verifiable case study" first on your procurement checklist, not acronym density in the deck.
Run three real buyer questions through ChatGPT and Gemini yourself. See whether you show up.

Marketers / SEO practitioners

Use GEO/AEO as an adjective, not a product name. 42% say their reaction depends on the context you provide; 7% dock trust outright.
Drop the "we optimize every platform" pitch. Only 1% prioritize Perplexity — concentrate on ChatGPT and Gemini.
Turn on the Search generative AI performance reports in Search Console and establish an impression baseline.

Developers / agencies

As of August 20, Google upgrades Google tags into full Tag Manager containers and adds visual, no-code event tracking (Search Engine Land). The technical barrier to conversion tracking is disappearing; move your pricing toward attribution design, not implementation hours.
Optimized containers can send data straight to Google destinations without loading an extra gtag.js. Put the latency improvement in your delivery notes.

Tool comparison: are you paying for data or a dashboard?

Tool	Position	Fits	Watch out
Profound	Enterprise platform, $1B valuation, 700+ enterprise customers	Mid-to-large firms with compliance needs	Enterprise pricing; hard for SMBs
Peec AI	Visibility / position / sentiment tracking, 1,300+ brands and agencies	Agencies managing many accounts	Deliberately lean; deep analysis is on you
geoSurge	"Parametric visibility" and Corpus Engineering	Brands betting on model memory over live retrieval	Methodology not third-party verified
Semrush / Ahrefs AI modules	Bolt-on to an existing SEO subscription	Teams already subscribed	Smallest prompt sample sizes

The underlying mechanics are near-identical: run a prompt set, log whether you appear, capture the cited sources. The difference is sample size and refresh rate. geoSurge's own CEO says prompt tracking will commoditize.

What they won't tell you

Crack one: 24% is a mean, not a median. 82% "committed at least some" — a 1% allocation counts in the denominator. Widen the denominator and a handful of heavy allocators pull the mean up. The report gives no median and no distribution. Telling a client "the industry average is 24%" is betting they don't read statistics.

Crack two: the disclosure is there; the selection bias isn't solved. The study was run by Fractl, written by a Fractl co-founder, published on a Semrush-owned outlet, with Semrush AI-visibility CTAs embedded mid-article. The conclusion "case studies beat terminology 4:1" happens to favour a content and digital-PR agency. That doesn't make it wrong. It does make it not a neutral experiment.

Crack three: sub-samples are small, so multiples are fragile. With n=343, splitting into C-suite / director / IC leaves cells possibly under 100. The "three times" gap between 28% and 9% carries a wide error band. Likewise, Perplexity's 1% is stated preference, not behaviour — don't use it as a traffic forecast.

The no-subscription alternative

Build a 30-prompt list of questions buyers actually ask. Run it weekly across ChatGPT, Gemini and AI Mode, logging appearance, position and cited sources in a spreadsheet. Three months gives you a trend line.
Filter server logs for GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot and Google-Extended; chart crawl frequency and hot paths.
Create an "AI referral" custom channel group in GA4 covering chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com.
Use Search Console's generative AI report for impression trend. It gives no clicks or queries — steering wheel, not odometer.
Use Tag Manager's visual event setup to wire "AI referral source → quote form submit" into a conversion. That is the only artifact that proves money came back.

FAQ

Should I rename my service from SEO to GEO?

The risk outweighs the return. 70% of buyers search either "AI search optimization" (46%) or plain "SEO" (24%), and only 27% of teams have formally changed the label. Keep SEO in the headline; explain the difference in the body.

Does the 24% figure transfer to markets outside the U.S.?

No. The sample is 343 U.S. decision-makers with no published industry or company-size distribution. Read it as a signal that spending has started, not as a budget benchmark.

What's the minimum an SMB should do?

Make company name, address and service lines structured and consistent on your own site; leave citable content on the third-party sources buyers check; test 30 prompts manually every month.

Are AI visibility tools worth a subscription?

Run it manually for three months first. If you're spending more than three hours a week copy-pasting, the monthly fee pays for itself. Before that, you're paying for a dashboard, not insight.

My take

The mainstream reading is "buyers haven't caught up, so educate the market." I read it the other way: the naming war was never an education problem. It's a pricing problem.

Agencies rushed to rename SEO as GEO to escape the price anchor crushed onto the word "SEO" — same work, new acronym, fresh quote. This survey announces that the arbitrage window is closing. Buyers rank "buzzwords without explanation" as the single biggest turnoff (36%) and terminology fluency at 9%. Once clients use AI to verify your case studies, the marginal return on renaming approaches zero.

So my call for the next 12 months: GEO/AEO will not become a standalone budget line. It will be folded back under SEO and degrade into a technical term rather than a product name. The teams that keep their premium will be the ones that can show a verifiable before-and-after.

For a studio like ScriptWalker, the opening is concrete: package "AI referral attribution setup" as a fixed-scope project — GA4 custom channel group, crawler log stats, Tag Manager no-code events, a 30-prompt baseline — and deliver a comparison table the client can take into a board meeting. Sell the evidence chain, not a subscription.

Sources

Primary

Third-party

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