Who Should Own AI Visibility: A Dedicated Hire or Your SEO Team?

Eli Lilly posted a Senior Director of Generative & Answer Engine Optimization this year, your CMO is forwarding articles about brands hiring AI search leads, and someone has asked whether your team needs one too. The honest answer sits in three datasets that rarely get read together: Search For Hire's analysis of 328,650 marketing job postings, Semrush's study of 3,900 SEO listings on Indeed, and the IAB's September 2026 survey of 200+ ad-investment decision-makers. Together they say the work is real and growing fast — one in five SEO job ads now asks for it — but that companies are overwhelmingly answering the ownership question by widening the search owner's remit, not by building a parallel team. The dedicated title is the exception, and there is a workload threshold that tells you when you have reached it.

Key facts

Key takeaways

On this page: Is AEO becoming a job? · Why the numbers disagree · What the roles do · The salary premium · Who should own it · When to hire

The largest dataset on the question comes from Search For Hire, a search-marketing recruiting firm that analyzed 328,650 marketing job postings from its Salary Guide job-board database, collected between July 2025 and June 2026. Two of its numbers frame the whole discussion.

The first is the skill line: 20.3% of SEO job ads mentioned AI search, GEO, or AEO skills in June 2026, up from 12.2% in December 2025. Whatever you think of the discipline's name — we have covered the AEO-versus-SEO terminology fight before — hiring managers are writing it into every fifth SEO req, and the share nearly doubled in six months.

The second is the title line: 720 postings across twelve months carried the new discipline in the job title itself — variations like "Director of SEO & AI Search" and "Principal Growth Manager, SEO/AEO." Against hundreds of thousands of SEO postings, that is a rounding error. But the composition is telling: 28% of those new-title roles were leadership positions (Director, Head of, VP, Principal, Lead), versus 15% for standard SEO titles. When a company does decide the work deserves its own title, it hires senior — Eli Lilly's Senior Director, Generative & Answer Engine Optimization posting (since closed) being the most visible example.

Semrush's independent study of 3,900 SEO listings on Indeed (November 25, 2025) corroborates the shape from a different board: 59% of all SEO listings were senior leadership roles, general AI appeared in 31% of senior listings, and the specifically AI-search terms — SGE, AEO, AI search — appeared in 6.3% of senior roles versus 3.7% of others. The pattern in both datasets is the same: this work is being attached to senior search scope, not spun out into junior specialist roles.

Put side by side, the two job studies appear to conflict: Semrush finds AI-search terms in 6.3% of senior SEO listings in November 2025; Search For Hire finds 12.2% of SEO ads mentioning the skills a month later. Nearly a two-fold gap at nearly the same moment.

None of these choices is wrong, and the gap does not need a villain — it is the same instrument problem we documented for AI visibility scores themselves: change the corpus, the term list, or the denominator and the level moves. The honest reading is that the level was somewhere in the mid-single to low-double digits at the end of 2025, depending on how you count. What is not in dispute is the direction: the one dataset that measured the same thing monthly shows the share going from 12.2% to 20.3% in six months.

The job ads say optimization; the buyer data says measurement. In the IAB's 2026 Outlook Study: September Update (September 10, 2026, 200+ brand and agency ad-investment decision-makers), 86% of buyers are already changing, or expect to change, how they measure media performance because of conversational AI tools and AI agents within twelve months. Asked what they are doing about it, the single most common answer — 48% — was measuring brand visibility and citations directly within AI tools. Another 45% named comparing AI-driven and traditional customer journeys as their top measurement challenge, and 44% called adapting to AI-driven search a top media-investment challenge outright.

That matters for the hiring question because it describes the actual week of whoever owns this: standing up prompt tracking across engines, defending a share-of-voice number to a CMO, reconciling it with referral data that rounds to zero even when it converts well, and reporting on it at a cadence the org trusts. Semrush's skills data points the same direction — project management appears in over 30% of all SEO listings and experimentation in 23.9% of senior ones. The role being assembled across these datasets is a measurement-and-coordination role with optimization attached, not a content-production role. Which metrics are worth that effort is its own question, but somebody has to own the answer.

Search For Hire's headline number says yes: US postings mentioning AI search skills advertised a median of $117,500 versus $97,500 without — a 20.5% premium. Before you take that to a compensation review, two caveats the source states but does not dwell on.

First, the salary base is thin: the analysis covers 13,779 postings with advertised salaries, about 40% of the SEO roles in the dataset, and self-selected — companies that advertise pay are not a random sample.

Second, and more important, the premium is not seniority-controlled, and everything else in the data says AI-search mentions skew senior. New-discipline titles are leadership roles at 28% versus 15%; Semrush found the specifically AI-search terms nearly twice as common in senior listings as in others; and Semrush's medians put senior SEO roles at $130,000 against $71,630 for everyone else. When seniority alone nearly doubles the median, a 20.5% gap between AI-search and non-AI-search postings is at least partly a seniority premium wearing a new name. The defensible claim is narrower: the AI-search work is being placed in senior, senior-paid roles — not that adding "GEO" to a resume is worth $20,000.

The revealed preference across 300,000-plus postings is consistent: whoever owns organic search, one level up, with the remit made explicit. Companies are writing AI search into senior SEO reqs twenty times more often than they are creating standalone titles, and when they do create the title, it is a leadership role that consolidates search and AI answers rather than a parallel function.

That default is also the sensible one, for a reason the org-chart debates tend to miss: the inputs overlap almost completely. The pages, the structured data, the third-party coverage, and the review-site presence that drive rankings are the same assets that drive citations — and where they diverge, the divergence is measurable from one tracking setup. What does not work, on the IAB's numbers, is leaving it unowned: 86% of buyers are rebuilding measurement around AI, and an unowned metric is how you end up with two dashboards, two numbers, and a meeting about why they differ.

So the first move costs nothing: name the owner, write AI answers into their goals, and give them an instrument — a defined prompt set, engines, and scoring rules — before anyone argues about headcount. How to stand that up is covered in how to track your brand in AI search.

The trigger is workload, and the workload is set by monitoring surface, not ambition. Our own 42-day tracking data gives a sense of scale: the set of domains an engine cited for a single prompt turned over 55–83% day to day, and one broad prompt drew citations from 445 distinct domains over six weeks. Reading that data — separating real movement from churn, per engine, per market — is recurring analytical work, and it grows multiplicatively with engines, markets, and prompt-set size.

Three observable thresholds, any one of which justifies the req:

Until one of those trips, the job data's implicit advice holds: make it senior scope, not a new silo — and let the threshold, not the trend pieces, decide when that changes.

Elmo is an open-source AI visibility platform, which makes it a reasonable way to run the "before the hire" phase: the prompt wizard generates a starter prompt set from your website, tracking runs across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, and because it is free to self-host, the cost of finding out whether the workload justifies a headcount is an afternoon, not a budget line. For the vocabulary these job ads are written in, see the AI search glossary.