The shift shows up first in the goals buyers set: visibility and authority in AI platforms, visibility inside large language models, market share in AI-driven search. Those priorities come from recent interviews, and that language simply didn't appear in the corpus two years ago.
source 1 source 2 your brand?
One answer, two or three citations — winner-take-most visibility is what's pulling budgets in.
Who's moving, and how fast
Enterprise pilots From luxury houses to big tech
This isn't a startup fad. A global luxury fashion house is evaluating AI-visibility platforms for its AEO strategy. A global spirits company is exploring the same tools alongside its SEO stack. One of the world's largest software companies is running formal AEO pilot programs. A major North American bank commissioned a GEO feasibility study. The buyers are directors and VPs of marketing and e-commerce at companies from $10M to $100B+ in revenue.
The tool land-grab
No incumbent owns this category, which is precisely why the interviews are full of evaluations rather than renewals. One name comes up far more than any other; a swarm of challengers follows; and the SEO-era incumbents are being either stretched into the new job or quietly shown the door.
| Tool | Position | What buyers are doing |
|---|---|---|
| Most named | The default shortlist entry: under evaluation at a luxury fashion house, a global spirits company, and a consumer-appliance brand; already deployed at an online plant retailer to track AI-referred traffic. | |
| Challenger | In head-to-head AEO evaluations at a prestige skincare brand. | |
| Peak · Fermat · Gumshoe | Challengers | Each named in at least one evaluation — including one already being replaced. Expect churn; buyers are dating, not marrying. |
| Crossover | An AI-content incumbent being tried for answer-engine optimization at a Fortune-500 financial services firm. | |
| Incumbent, stretching | Buyers pair it with the new tools rather than drop it — a life insurer is explicitly seeking AI-driven AEO tools "to complement" it. | |
| Incumbent, exposed | Two separate buyers evaluating AI-visibility tooling are simultaneously seeking alternatives to their listings-management platform. |
The measurement vacuum
Everyone is optimizing for something nobody can measure
The most consistent thread across these interviews isn't a tool — it's a gap. Buyers want "share of voice" inside AI answers, attribution for AI-referred traffic, and monitoring of how assistants describe their brand. None report having it solved. That's why nearly every engagement in the corpus is a pilot, a bake-off, or a feasibility study — and why the first platform to make AI visibility credibly measurable inherits the budget that's already moving.
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Bleeding edge Agentic commerce
The most forward-looking interviews skip visibility entirely and go to transactions. A major payments platform is prioritizing discoverability of products through AI-based search alongside agentic-commerce opportunities; a global CPG company is building capability for AI agents that shop retailer partnerships directly. If the assistant doesn't just answer but buys, AEO stops being a marketing tactic and becomes channel infrastructure.
What this means for your 2026 plan
The peers in these interviews suggest a playbook: pilot now, but demand measurement before optimization — several buyers already churned off a first tool that couldn't show its work, so make prove you can measure my share of voice the bake-off entry fee. Run it through your existing SEO team and agency rather than new headcount; that's how nearly every buyer here is staffing it. And treat your incumbent contracts as leverage — buyers pairing Semrush with a new AEO tool, or reconsidering Yext mid-evaluation, are negotiating from the same data you're reading now. The cost of waiting is the visual at the top of this page: one answer, two or three citations, and brands in your category already positioning to be them. This is a different job from the search bar on your own store — for that, see what site-search buyers wish they'd known.
Common questions
What's the difference between AEO, GEO, and SEO?
SEO optimizes to rank in search results. AEO (answer engine optimization) and GEO (generative engine optimization) optimize to be surfaced and cited inside AI-generated answers — ChatGPT, Perplexity, Gemini, Claude. Buyers in our interviews use AEO and GEO interchangeably, usually in the same sentence.
Which AEO tools are companies actually using?
Profound is the most-named tool in our interviews — evaluated or deployed by buyers in luxury fashion, spirits, consumer goods, and e-commerce. Buyers also name Scrunch, Fermat, Peak, Gumshoe, and Writesonic, while stretching SEO incumbents like Semrush into AEO work. Several are simultaneously reconsidering listings platforms like Yext.
Can you measure AI search traffic and share of voice?
Barely — and buyers say so. Interviews describe wanting 'share of voice' inside AI answers and 'visibility within large language models' but lacking trusted measurement. Tracking AI-referred traffic and monitoring how assistants describe a brand is the core promise of the new tool category, and the reason most engagements are pilots.
Is SEO being replaced by AEO?
No — buyers describe extension, not replacement. SEO teams, agencies, and budgets are absorbing AEO/GEO work. But the stated direction of travel is explicit: one brand says SEO "is now turning into a little bit of a mishmash and we need to start weaving in AI as much as possible."
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