Short answer: probably not yet. AEO and GEO specialists barely existed as a job title two years ago, the good ones are expensive, and most of what they do is a repeatable loop that software now runs. Here is how to decide.
A real AEO or GEO specialist baselines how assistants answer your buyers questions, fixes the inputs assistants read (direct answers, schema, citations, fact consistency), and re-measures monthly. Read how to start doing AEO and GEO and you will notice something: the loop is well defined. Well defined loops are what software is for.
Hire when AI visibility is existential to your category and you need someone accountable inside the building: enterprise brands in contested markets, or businesses where a single recommendation drives large revenue. In that case, arm the hire with data rather than making them gather it by hand.
A platform that runs the loop continuously, plus the team you already have. Aethon maps buyer moments across ChatGPT, Gemini, Claude, and Perplexity, tracks who gets recommended and why, publishes the fixes, and measures the change, from $199 per month, which is a fraction of a specialist salary. Baseline yourself free with the , and see do I need software for GEO and AEO for the full build vs buy logic.
Budget the whole seat, not the salary line. A full time hire carries salary plus benefits, the tool stack they will immediately request (monitoring, content, schema testing), and a quarter of ramp time while they learn your category moments. A fractional consultant trades lower monthly cost for shallower context: they run the same loop across many clients, which is efficient right up until your category needs judgment only immersion provides. Against either option, a platform subscription plus two hours a week from your existing marketer covers the same loop for most mid market teams, which is why we publish pricing and encourage you to run the comparison with real numbers rather than fear.
There is also a hidden cost people miss: a specialist without executive support becomes a report generator. If nobody is empowered to change pages, publish content, and chase citations, the hire measures decline instead of preventing it. Buy execution capacity before you buy measurement capacity.
If your situation clears the bar for a dedicated hire, write the role around outcomes, not activities. Own the monthly baseline across ChatGPT, Gemini, Claude, and Perplexity for a defined basket of buyer moments. Own share of voice against three named competitors, with a number attached. Own the fix pipeline: pages answered, schema shipped, facts aligned, citations earned, with turnaround measured in days. And own the revenue story: connect recommendation share to pipeline so the program survives budget season. Interview candidates by giving them one of your real buyer questions and watching them run the diagnosis live; the good ones narrate the input layer without prompting.
Then give them the same tooling you would use without them. A specialist with continuous measurement and an execution platform is a force multiplier; a specialist running everything by hand is an expensive spreadsheet. The scoreboard they should bring to every monthly review is in how to know if your GEO is working.
Between hiring and outsourcing sits the option most teams should try first: promote the loop onto someone already on payroll. Your best candidate is whoever currently owns SEO or content, because they already understand the input layer; what they need is a mandate, four hours a week protected on the calendar, and the measurement tooling so their time goes to fixes rather than sampling. Give them a quarter and judge them on the same scoreboard you would give a specialist: baseline built, moments trending, fixes shipped and attributed. Two outcomes are possible and both are wins: the loop sticks and you have grown the capability for a fraction of a hire, or it outgrows their four hours and you now know precisely what the full-time role must do, with a quarter of real data to write the job description from. Teams that skip this step hire blind; teams that run it hire, or subscribe, with evidence.
As a new discipline, rates vary widely: freelance consultants commonly charge monthly retainers in the four figures, and full time hires carry marketing manager level salaries or above. Compare that with software from $199 per month plus your existing team.
Ask for their measurement loop: which assistants they track, which buyer questions, how often they re-baseline, and what they change when answers do not move. No loop, no hire.
Usually yes. The inputs overlap with technical and content SEO. Give them a baseline tool and the 30 day starter plan, and let software handle continuous measurement.
Technical SEO plus content strategy is the natural base; the delta is conversational research and per-assistant measurement, both learnable in weeks by someone who already thinks in inputs and evidence.
The same way you keep anyone rare: pay to market as the discipline reprices, and keep their work visible internally. The measurement trail they build is also your insurance, the program survives a departure because the loop is documented.