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Growth agencies in the era of AI: what you are actually paying for

AI made marketing production cheap and judgement expensive. What that changes about hiring a growth agency, and which pricing model survives it.

Mark BodnarCEO · Growth product manager, Berlitz 27 September 2026 7 min read

The part you used to pay for got cheap

If you are still buying a growth agency the way you bought one in 2022, you are paying a premium for the thing that got cheap. Production got cheap. A landing page variant, twenty ad headlines, a first draft of a launch email: minutes now, not days.

What did not get cheap is knowing which of those twenty headlines deserves budget behind it, and being able to tell six weeks later whether that call was right. That work has not sped up at all. It got harder, because there is now far more output to judge and the same number of people qualified to judge it.

Where the money used to go, and where it goes now

Priced like it is scarce

Making the thing. Copy, layouts, variants, decks, first drafts of almost anything. This is the line item most rate cards are still built around.

Actually scarce

Deciding what to make, refusing the rest, and reading the result honestly six weeks later. No tool has compressed this.

Most agency pricing has not moved with the split. That gap is the whole subject of this post.

The practical effect is that the share of an engagement spent making things is falling and the share spent deciding and measuring is rising. Very few rate cards reflect that yet.

The hours model breaks first

An agency that bills you for time has a problem it did not choose. Its people got faster. If the day rate holds, the same work bills fewer days and revenue falls. So the rate goes up, or the scope grows quietly, or the monthly report gets longer. None of that is dishonest. It is what a time-based contract does under those conditions.

Your interest runs the other way. You want the outcome for less and you do not care how many hours sat behind it.

Four ways to be charged, and what each one prices

Hourly or day ratePrices the input that just got faster. From the moment it does, you and the agency want opposite things from the same invoice.
Deliverable countTwelve posts, four pages, thirty assets. Cheap to satisfy now that output is cheap, and it says nothing about whether any of it worked.
Fixed scope, named targetsA price agreed before kickoff, with the metrics the agency is accountable for written into the statement of work next to actual numbers.
Pure revenue shareClean in theory. In practice it makes the agency a part-owner of pricing and product decisions, which most clients will not hand over once they picture it.
Only one of these keeps both sides pointed the same way once production is cheap.

We price the third way, so read that as disclosure rather than neutral advice. The test still applies to us: ask what the number is, and ask what happens if we miss it.

What is actually scarce

Every agency you talk to has the same models you do. Worth saying plainly, because a lot of current agency positioning depends on you not noticing. The model is a utility priced per million tokens, and your competitor is buying from the same shelf.

Four things stay hard to copy.

The four things a model does not hand anyone

Memory of your brandAn agency holding the last forty decisions about your tone, your claims and what you tried in March produces work that sounds like you. A fresh prompt produces work that sounds like everybody.
Integration depthThe output has to land in your CMS, your ad accounts, your CRM and your consent setup, in every language you sell in. Unglamorous, and where most AI marketing pilots quietly die.
A component library someone grewModel output converges on the average of what it was trained on. Work that looks like yours comes from a system a designer built and kept maintaining.
Willingness to argue with youThe most valuable sentence an agency says is which part of your plan not to fund. No model volunteers that, and an agency paid by the hour has little reason to.
None of the four are about the model. All four take years, which is rather the point.

One number from our own work, since the argument needs one. On a Berlitz UK offer campaign, 21% of leads became paid enrolments. No model decided the two things that earned that: the closing date sitting in the page bar, and a WhatsApp route beside the form. Both came out of an argument about what the page was allowed to promise.

Seven questions worth asking now

The old agency selection questions still work. Ask who is actually on your account, ask to speak to a client whose contract ended, ask for the notice period. These seven are the ones the last three years added.

1. Which parts of this work will a model do, and who checks it before it reaches us? "None of it" is not the good answer. No answer at all is worse. You are testing whether anyone has decided where the review step sits.

2. Show me the same brief run through your process twice, six months apart. One good output proves very little now. Consistency across time is the thing left to test.

3. What will you know about our brand after month one, and can we take it with us? The tone rules, the prompts, the component library, the audience notes. Ask whether that is yours on exit. Most contracts are silent on it, which is not the same as it being yours.

4. What did you stop charging for in the last two years? Possibly the most useful question on the list. An agency that has repriced something has genuinely absorbed the change. An agency with an unchanged rate card took the productivity gain as margin, which is their right, and now you know what you are buying.

5. What do you think we should not spend money on? This one survived from the old list unchanged, and it is still the fastest read on whether an agency will push back once the contract is signed.

6. Who is accountable if a model writes something false about our product and it goes live? You want a name and a review step. A reassurance is not an answer.

7. How do you know an AI-assisted piece of work was good? If the answer is about time saved, that is their margin, not your result. Ask again for the number on your side of the relationship.

Buy a small piece of work instead of running a pitch

The competitive pitch was always a weak evaluation tool and AI finished it off. A deck costs almost nothing to produce now. Choosing between agencies on the strength of their decks is close to choosing on nothing at all.

Pay two or three of them a small fee for a real, narrow piece of work instead. One page, one campaign, one month. Four weeks of that tells you more than four rounds of presentations, and it usually costs less than the internal time a full pitch process burns.

A four-week trial that beats a pitch process

01Write down where you areTraffic, cost per lead, close rate, whatever you are actually trying to move. Before anyone touches it. Most later arguments trace back to this number not existing.
02Pay two or three for one briefA small fixed fee, one real deliverable, same brief and same deadline and same data access for each of them.
03Score the questions, not the outputThe output will all be competent. What separates them is what they asked you before starting, and what they declined to do.
04Scope with a number in itWhoever wins starts with targets in writing, against the baseline you both agreed in step one.
Roughly the cost of a pitch process, with evidence at the end of it instead of a shortlist.

Where this argument is weak

If your real problem is volume, none of the above applies to you. Four hundred product pages in nine languages is a production problem, and buying production capacity by the hour is an honest way to solve a production problem.

The view here also comes out of a narrow slice of work: language education and events across Canada, the UK and Spain, where a lead converts in weeks. Enterprise software on an eighteen-month cycle behaves differently and I would not claim these conclusions carry over cleanly.

And the models keep improving, so any specific claim about what they cannot do yet has a short shelf life, including the ones written above. The part I expect to survive is the pricing argument, because incentives move more slowly than capability.

Magic Pulpo

A growth agency × startup studio, Budapest

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Ask us the same questions you are asking them.

We scope to a fixed price before kickoff, and the metrics we are accountable for go into the statement of work with numbers against them. The people who scope the engagement are the people who do the work.

Growth agencies in the era of AI: what you are actually paying for