Somewhere in your budget doc there's a line that says "AI search" with a number next to it and no decision yet, and two tabs open: an agency's calendly and a software trial. Cards on the table before anything else: we sell the software side of this question, plus an optional human strategist on top, so we're a vendor with a dog in the fight, and you should read everything below with that lens on. The honest version of the answer survives the disclosure anyway, because it starts somewhere neither sales page does: this is a labor question wearing a strategy costume. Who, specifically, is going to do the work every week? Answer that and most of the decision makes itself.
What Each One Actually Sells
Strip the websites and the two products are cleaner than they look. An agency sells labor plus judgment: hands that do the weekly work and a brain that decides what work matters, plus a relationship you can escalate to when the chart goes the wrong way. AEO software sells an instrument plus multiplication: the tracking that shows where you stand in AI answers, and, in the fuller pipelines, the machinery that plans, writes, publishes, and chases mentions, with your team steering.
The traps are also cleaner than they look. Plenty of agencies run the same software you'd buy, wrap its outputs in a deck, and bill the difference, which is fine when the judgment layer is real and expensive when it's a markup on a login. And plenty of software sells itself as strategy when it's an instrument, leaving the buyer to discover in month two that dashboards don't ship content. Neither trap is an argument against the category it lives in; both are arguments for the vetting tests below.
The Costs, in Honest Shapes
Numbers first, stated as shapes because quotes vary wildly. Specialist agency retainers in this space commonly run from low four figures to five figures a month, with enterprise programs above that. The freelancer market underneath is real and chaotic: hiring boards currently list AEO and GEO work from a few tens of dollars an hour, with the quality spread you'd expect at that spread of price. Software runs cheaper by an order: monitoring tools start around $99 a month, full pipelines around $400, and a free measurement floor exists for anyone starting from zero.
The sticker gap is the visible part. The hidden costs are where the decision actually lives. The agency's hidden line is opacity and dependency: the learning accumulates in their heads and the data lives in their reports; when you part ways, the program's memory walks out the door. Software's hidden line is hours: an instrument without an operator is a subscription, and the fuller pipelines shrink that line without deleting it, since someone still steers. Price both hidden lines against your actual team before comparing stickers, because the stickers are the smaller difference.
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When the Agency Is the Right Call
The cases are real, and pretending otherwise would be salesmanship. No internal marketing capacity at all: someone has to do the work, and a good agency is exactly that someone. Enterprise coordination: multiple brands, procurement, legal review, a dozen stakeholders, where the agency's project management is half the value. A genuine strategy vacuum: you don't know what to do, and buying an instrument won't tell you; a strong strategist will. And the local-business tier, where done-for-you at a modest retainer beats any tool the owner will never open. The common thread: you're buying labor and judgment you genuinely don't have, rather than outsourcing a loop you could run.
When Software Is the Right Call
The mirror cases. An operator exists: someone in-house who'll own the weekly loop, and who gets dramatically more out of an instrument than out of reading an agency's monthly PDF about the same data. You want the learning in-house: every citation won and lost teaches your team how your category's answers actually get built, an asset that compounds and stays. Feedback speed matters: shipping and seeing the per-engine lines move within weeks beats waiting for the next QBR. And budget reality: at a fraction of a retainer, software plus an existing operator is the only version of this program many teams can fund at all. The thread here: the loop is yours to run, and the instrument's job is honesty about what's working.
How to Vet an Agency, From People Who've Been Burned
The practitioner communities have converged on a vetting protocol, and it's better than anything in the sales decks:
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Three tests from that thread and its siblings. Case studies with teeth: two or three from businesses shaped like yours, with before-and-after numbers, and a phone call with one of those clients, which tells you more than any directory listing. Directories as shortlist only: the established ones surface credible firms, and none of them can verify that a listed agency understands generative engines, so the list is where evaluation starts rather than ends. And the eat-your-own-cooking test, which is the one this category makes newly possible: ask ChatGPT and Perplexity about the agency's own niche, best GEO agency, AEO experts for your industry, and check whether the firm appears in the answers and holds citations for its own target queries. An agency selling AI visibility that has none of its own is telling you something no case study can retract. Wondering if that test is unfair to good-but-quiet firms? Somewhat, and it's still the strongest signal available, because this is the rare industry where the product and the proof are the same substance.
How to Vet Software, Including Ours
Symmetry demands the same treatment for the tools, so here's the test battery we'd want applied to us. Every number should decompose to evidence: actual answers and actual cited URLs rather than just a proprietary score. The panel should be fixed and the cadence stated, so movement means the world changed rather than the measurement. The data should move when you ship relevant work and hold when you don't, which you can verify inside any honest trial. And for pipeline products, the artifacts should be inspectable: read the articles it writes, check where they published, trace a citation back to a page. Any tool that fails these is selling reassurance; any tool that passes them survives being compared to an agency's deck, because the deck is usually built from a tool exactly like it.
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A Tale of Two Quarters
To make the shapes concrete, run one fictional SaaS through both doors for a quarter. The agency quarter: two weeks of onboarding calls and a strategy deck, work beginning in week three, a monthly report in week six showing early citation baselines, some real wins by week ten, and a QBR in week thirteen where you learn what happened, mostly by trusting the deck. Total motion: solid, arriving in monthly waves, with your team's involvement limited to approvals and the learning living mostly on their side of the table. The software quarter: instrumentation live in week one, the first uncomfortable baseline the same week, articles shipping by week two, per-engine lines visibly reacting by week five, and your operator making steering calls every Monday with raw evidence in front of them. Total motion: comparable by quarter's end, arriving in weekly increments, with the learning compounding in-house and the discomfort of self-service distributed evenly across thirteen weeks instead of hidden inside two QBRs. Neither quarter embarrasses the other; they distribute the same work, cost, and knowledge differently, and which distribution suits you is most of the real decision.
The Questions to Ask on the Call
For the agency call, five questions that separate operators from deck-sellers. Which tools do you run our program on, and can we see our data in them directly? Who specifically works our account, and how many accounts do they carry? Show us a client shaped like us, before and after, and may we call them? What happens to our data, prompts, and learnings if we part ways? And what did you ship for your last client in their first thirty days, concretely? For the software call, four mirrors. Can every dashboard number be traced to an actual answer and cited URL? Is the prompt panel fixed, and what's the cadence? What does the tool do versus what does it leave to us, stated bluntly? And can we see the actual articles it published for a real customer, on their real domain? Vendors and agencies who answer all of these quickly are safe to shortlist, whatever else their pitch says; the ones who answer none of them fluently have answered a different question.
What the Market Itself Is Telling You
One more reading worth doing before you sign anything: the market's own structure is a signal. Agencies increasingly run client programs on exactly the software you'd buy, which says execution is commoditizing. Software vendors increasingly attach human strategists, which says naked instruments weren't enough. And the freelance boards pricing AEO execution at commodity hourly rates say the market has already decided where the scarce value sits: in judgment, and in evidence. For a buyer, that structure argues against locking a long retainer priced as if execution were still scarce, and for keeping whichever arrangement you choose modular, evidence in your hands, execution swappable, judgment paid for by the hour or the seat rather than bundled invisibly into everything. The industry is unbundling around you; buy accordingly.
The Hybrid Quietly Winning
Okay, cards on the table again, because this section describes what we sell and you should discount accordingly: the fastest-growing answer to this whole question is neither pure agency nor naked software. It's the loop run by machinery with a human layered on for judgment, in one of two shapes. Product-side: a pipeline that tracks, writes, publishes, and chases mentions, with an optional dedicated strategist on top for the quarterly thinking, which is our shape. Buyer-side: your own fractional or in-house operator running the software, which assembles the same hybrid from parts you control. Both shapes exist because the labor question and the judgment question have different best answers, machines win the weekly loop on cost and consistency, humans win the judgment calls, and bundling them at agency prices was always the inefficiency. Agencies are converging on the same conclusion from their end, increasingly operating client programs on exactly this kind of software, which tells you where the market thinks the value actually sits.
The Price of Getting It Wrong, Both Ways
Worth thirty seconds before the verdict, because the failure modes are asymmetric and knowing yours changes the risk math. Choosing an agency wrongly costs you time and opacity: two quarters and a five-figure sum before the pattern is undeniable, plus the restart cost of a program whose memory lived in someone else's heads. Choosing software wrongly costs you quieter money: a subscription nobody operates, a dashboard that becomes a monthly guilt object, and the slow discovery that an instrument can't want things for you. The agency failure is louder and more expensive per month; the software failure is cheaper and easier to let run for a year unexamined. Teams with strong follow-through should fear the first more; teams with aspirational tool-buying habits, and be honest, should fear the second. Neither failure is the category's fault, and both are avoidable with the vetting above plus one boring habit: a ninety-day review with the evidence on the table, booked before you sign anything.
The Decision, Compressed
Run the sequence and you land somewhere defensible, starting from the labor question. If nobody does the weekly work and budget is real: agency, vetted with the three tests. If nobody and budget is tight: a done-for-you pipeline, graded on inspectable artifacts. If an operator exists: software, graded on decomposable data, with the full program as their playbook. If the operator exists but the strategy doesn't: hybrid, from either direction. And whichever door you pick, keep the measurement where you can see it raw, per engine, per week, because the one outcome this comparison won't survive is discovering in month six that nobody can show you a single actual answer with your name in it. That's the failure mode both industries share, and the buyers who avoid it are the ones who asked for the evidence before they asked for the price.
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