Companies are adding AI requirements to search marketing jobs faster than they are redesigning the jobs themselves. The result is a familiar title carrying a much wider set of expectations.
SalaryGuide's Hiring Index analysed 1,175 SEO job listings to track that change. The research has since been discussed in Moz's AI Search Skills Report and Kevin Indig's Growth Memo.
“AI experience” is too vague to assess
Some employers want faster research and production. Others need workflow design, automation, prompt evaluation or a search strategy that accounts for AI answer engines. Putting those needs under one line in a job description makes assessment unreliable.
A useful brief names the work. Which decisions will the person improve? What process should become faster? Where must human review remain? Which tools or data will they have access to?
Titles are lagging behind the work
Most companies do not need a fashionable new title. They need a clear account of how an existing role has changed. An SEO Manager may now evaluate visibility across search engines and answer platforms, build assisted research workflows and teach colleagues how to use them safely.
The title can stay. The scorecard cannot.
Tool familiarity has a short shelf life
Hiring around one product creates fragile value. Tools change, pricing changes and features converge. The more durable skills are process design, judgement, experimentation and the ability to verify outputs.
In interviews, I would ask candidates to explain a workflow they changed, the baseline they measured and the failure modes they found. A list of tools reveals far less.
Pay will follow proven leverage
AI skills command a premium when they produce credible business outcomes: more useful analysis, faster delivery, wider coverage or lower operating cost. Claiming the skill is easy. Demonstrating the change is harder.
Candidates should document before-and-after evidence. Employers should pay for that leverage while resisting inflated titles built around temporary software.
The valuable person is not the one who uses the most AI. It is the one who knows where it improves the work and where it damages it.
Read the source analysis in Moz and Growth Memo, or explore the broader dataset at SalaryGuide.com.