Somewhere between your buyer’s question and your website, a model now sits and answers it for them. Sometimes it names you. Usually it doesn’t. Nobody at your company currently owns whether it does.
That is the entire case for the AEO/GEO hire, and it is why the reqs started appearing in volume this year — answer engine optimization and generative engine optimization, the practice of getting cited inside the answer rather than ranked beneath it.
You cannot fix a channel nobody owns. Right now, for most companies, that channel is the answer box.
The numbers that turned AI search into a headcount line
The shift in user behavior is measurable, and it is not gentle. Pew Research tracked 68,879 Google searches from 900 US adults in March 2025 and found users clicked through to a traditional result on just 8% of searches that carried an AI summary — against 15% of searches without one. Links inside the summary itself were clicked on 1% of visits.
Read that second number again. The citation is the prize, and the click is not.
Meanwhile the traffic that does arrive from AI is worth more per head. Semrush’s research puts AI search traffic up 527% year over year and the average AI search visitor at 4.4x the value of a traditional organic visitor, with LLM visits projected to overtake organic search by 2028.
| What changed | The figure | Source |
|---|---|---|
| Clicks on a result when an AI summary appears | 8%, vs 15% without | Pew Research, 2025 |
| Clicks on links inside the AI summary | 1% of visits | Pew Research, 2025 |
| AI search traffic growth, year over year | 527% | Semrush, 2025 |
| Value of an AI search visitor vs organic | 4.4x | Semrush, 2025 |
| Enterprises increasing AEO/GEO spend in 2026 | 94% | Conductor, 2026 |
The budget question is already settled. Conductor surveyed more than 250 enterprise executives and digital leaders and found 94% plan to increase AEO/GEO investment in 2026, on top of the average 12% of digital marketing budget they put behind it in 2025. 97% reported a measurable positive impact on the marketing funnel.
Money is moving. In most orgs, headcount hasn’t caught up — which is the gap you’re hiring into.
Why your SEO team can’t simply absorb this
This is the objection we hear most, and there is a single number that answers it.
Ahrefs analyzed 863,000 keyword SERPs and 4 million AI Overview URLs and found that only 38% of pages cited in AI Overviews also rank in Google’s top 10 for that query. In their July 2025 version of the same study, it was 76%.
Ranking and getting cited have come apart, and they came apart fast. Roughly a third of citations now come from pages ranking 11–100, and another third from pages that don’t rank in the top 100 at all. A team measured purely on position is optimizing for a signal that predicts citation less than half the time.
That doesn’t make SEO obsolete. It makes it insufficient. The work that moves citation share looks different:
- Extractability over readability. Models lift clean, self-contained, well-structured claims. A brilliant 3,000-word narrative that buries the answer in paragraph nine loses to a table.
- Third-party presence over owned pages. Models pull heavily from review sites, forums, comparison pages and video. Much of the work happens on properties you don’t control.
- Citation share over rank. There is no Search Console for this. Your hire has to build measurement, usually from prompt-set testing across several engines.
- Multi-engine, not just Google. ChatGPT alone reached 700 million weekly active users. Optimizing only for AI Overviews covers a fraction of the surface.
Someone who has spent six years chasing keyword rank can absolutely learn this. But it is a genuine retooling, not a Tuesday. Price the ramp honestly, and if you’re hiring rather than retraining, treat it as a technical marketing search rather than a generalist one.
The four shapes an AEO/GEO req actually takes
Titles in this market are noise. We have seen the same job posted as “AI Search Lead,” “GEO Manager,” “Content Strategist, AI Visibility” and “SEO Manager (AEO).” Screen for scope, not the title.
| The shape | What they own | Usually reports to |
|---|---|---|
| The technical one | Structured data, crawlability for AI agents, site architecture, feeds | Head of SEO or engineering |
| The content one | Answer-shaped content, entity coverage, editorial standards | Content or brand lead |
| The off-site one | Review sites, comparison pages, forums, PR, the sources models cite | Demand gen or comms |
| The measurement one | Prompt-set testing, citation tracking, attribution, reporting | Marketing ops or analytics |
Very few people are strong at all four — which is why an AEO/GEO search fails more often on a vague scope than on a thin candidate pool. Deciding which one you’re actually hiring — before the req goes live — is the single highest-leverage thing you can do, and it’s the step most teams skip. If your problem is that competitors get named and you don’t, that’s the off-site hire. If your content is good but models can’t parse it, that’s the technical one.
Companies with the budget to hire two usually pair the technical and content shapes first, then add measurement. If you’re hiring one, hire the one that unblocks the others.
What AEO/GEO talent costs in 2026
Honest answer: the market hasn’t settled, and anyone quoting you a tidy band is guessing.
One mid-2026 tracking exercise across 50+ AI-search roles found advertised ranges scattered across a very wide field:
| Example posting | Advertised range |
|---|---|
| GEO/AEO growth marketing specialist (Odoo) | $75,000–$95,000 |
| AEO & SEO manager, enterprise (Experian) | $100,000–$174,000 |
| Senior content marketing, AI focus, enterprise | $150,000–$210,000 |
A $135,000 spread between the floor and ceiling of a discipline is what a market looks like before it has agreed what the job is. Two consequences for you:
You can still win on scope. Candidates in this space are choosing between roles where they’d own a real surface and roles where they’d write meta descriptions with a new label on them. A clearly defined charter beats a 10% comp premium more often than you’d expect right now.
Benchmark the adjacent role, not the title. Price it against what you’d pay a strong technical SEO or demand gen manager at your stage, then add for scarcity. Our salary benchmarks are the more stable reference point.
How to screen when there’s no résumé pattern
Nobody has ten years of AEO experience. The discipline is younger than that, so pattern-matching on years is a dead end. Screen for evidence instead.
Four questions that separate people who have done the work from people who have read about it:
- “Walk me through how you’d find out whether we’re cited today.” A real practitioner describes a prompt set — a list of buyer questions run across ChatGPT, Google, Perplexity and Gemini, repeated on a schedule because answers drift. Someone who says “we’d check our rankings” has told you what they actually do.
- “You’re cited on ChatGPT but invisible in AI Overviews. What’s your first move?” Tests whether they understand these are different retrieval systems with different source preferences, rather than one thing called “AI.”
- “Which pages would you rewrite first, and what would you change?” Listen for structure — headers that match real questions, self-contained answers, tables, schema. Listen for whether they mention pages they don’t own.
- “What did you get wrong in the last year?” This channel changes monthly. Anyone claiming a clean record either isn’t measuring or isn’t shipping.
Ask for the artifact, not the anecdote. A prompt set, a citation-tracking sheet, a before-and-after on a rewritten page — these exist for people doing the work, and they’re the fastest signal you’ll get in a 30-minute screen.
Where these reqs go wrong
Five failure modes we see repeatedly, in rough order of how much damage they do:
- Bolting it onto a full SEO workload. The most common one. You add “and AEO/GEO” to an existing job description, change nothing about the other 40 hours, and get nothing on either. If it’s real work, it needs real capacity.
- Burying the role. AEO/GEO work spans content, site structure and off-site presence. A hire three layers down who has to file tickets for every change will spend a year filing tickets.
- Demanding five years of experience. The discipline is younger than the requirement. This filter removes the people who are actually doing it and keeps the ones willing to overstate.
- Measuring it on traffic. If the winning outcome is a citation that never generates a click, traffic is the wrong metric and the hire will fail a review they should have passed. Agree on citation share before day one.
- Waiting for the market to settle. It isn’t going to, at least not soon. The teams building citation share now are building an asset that compounds while competitors debate the acronym.
The teams doing this well aren’t smarter about AI than everyone else. They just gave the problem to a specific person with a specific mandate, months before it was obvious they needed to. If you want the fuller version — the four roles, interview questions and a copy-paste job description — that’s what our AEO/GEO hiring guide covers.
