One of these stacks fails cheaply. The other fails in front of a regulator. Twelve tools, priced for each, and the criteria that should differ between them.
Marketing AI and HR AI get sold as one category, budgeted as one line item and bought on one set of criteria. That last part is the mistake, because the two fail in completely different ways.
Marketing AI fails cheaply. A weak subject line underperforms, someone rewrites it, the week continues. HR AI fails expensively and slowly: a screening tool that filters on a proxy for age produces a discrimination claim, a regulatory file and a hiring pipeline rebuilt from scratch. The law already draws this line. Under Annex III of the EU AI Act, software used to screen candidates or manage workers is classified high-risk and carries documentation, logging and human-oversight duties. The tool writing your subject lines carries none of them.
This guide covers twelve tools across both stacks, priced against their published plans in September 2026. It's desk research from pricing pages, documentation and regulatory text rather than hands-on testing, and it's blunt about two well-known products we'd skip. Marketing comes first, then HR, because the buying criteria genuinely change between them.
Prices checked September 2026 against each vendor's published plans.
Why the Risk Profiles Are Opposite
Under the EU AI Act, AI used in recruitment, candidate selection and worker management falls into the high-risk category set out in Annex III. That classification carries real obligations: technical documentation, logging, human oversight, transparency to the people affected. The duties for these systems phase in through 2026, and if you employ anyone in the EU they'll reach you.
The US picture is patchier but moving the same direction. New York City already requires bias audits for automated employment decision tools, and other jurisdictions are following.
Marketing AI carries almost none of this. The regulatory attention there is about disclosure and data protection, not about whether the model made a decision that changed someone's life.
That asymmetry should change three things about how you buy:
For marketing, optimise for speed, output volume and how quickly a human can review the result. Cheap and fast wins. Switching cost is low, so experiment freely.
For HR, optimise for auditability. Ask what the vendor logs, what they'll indemnify, whether a human can override any automated recommendation, and what they'll commit to in writing about bias testing. Switching cost is high because employee data moves badly.
In both, keep a human in the loop, but for different reasons. Marketing needs it for quality. HR needs it for defensibility.
Marketing: Start With One Good Assistant
Most marketing teams need one general assistant before they need any specialist tool. Both of these have usable free tiers. Start there, and only pay when someone hits a limit in a way that costs real time.
Claude
The one we'd pick for long-document work and for copy that has to sound like a person wrote it. If you buy one seat for the marketing team, buy this one.
ChatGPT
A broader ecosystem of integrations and a larger set of things it does beyond writing. The better pick if you want one tool that also handles data, images and light automation.
Marketing: Where Dedicated AI Earns Its Money
A general assistant covers most writing. These two exist for the problems it doesn't solve: enforced brand voice, and consistent quality across people who don't think of themselves as writers.
Jasper
The category's best-known name, and the one we'd be slowest to buy. It's worth being blunt about why: you'd be paying roughly 2.5 times what Claude costs for writing a general assistant already does well.
Jasper's real argument is brand-voice enforcement across many writers. If you have twenty marketers producing content that all has to sound like one company, that's a genuine problem and a general assistant won't solve it. Below about ten writers, you're buying a solution to a problem you don't have yet.
Grammarly
The quieter, better-value play. It works everywhere people already type instead of asking them to go somewhere new, which is why adoption tends to stick.
Our recommendation: general assistant for everyone, Grammarly across the org if writing quality is uneven, and Jasper only when brand-voice consistency at volume is a named, current problem.
Marketing: Email Is Where AI Actually Pays
Email is the channel where automation has the clearest return, because the decisions are frequent, measurable and low-stakes individually.
Klaviyo
Our pick for ecommerce email, starting free at 250 profiles. It's built around ecommerce catalogue data, so predictive send timing and product recommendations have something real to work with. If you don't sell products online, most of that advantage evaporates.
ActiveCampaign
The B2B answer, from $15 a month at 1,000 contacts. Lead scoring and branching automation are the strengths, and the automation builder is genuinely more capable than the category average.
Marketing: Social, and the Obvious Choice We'd Skip
Buffer
The right answer for solo operators and small teams that mainly need to publish on schedule. Three channels for the price of a coffee, and it does that job without ceremony.
Metricool
The better pick than Buffer when reporting matters, especially for agencies handling multiple brands. Strong analytics for the price.
Hootsuite
The name everyone knows, and the one we'd skip. At $99 a month for a single user it costs several times what Buffer or Metricool charge for what most small teams actually use, and repeated price increases have pushed features into higher tiers. Being blunt about a famous name is the whole point of a review site.
Our take: unless you're already standardised on Hootsuite across a large organisation, Metricool does more for a fifth of the price.
HR: Payroll and Records
Different rules apply here. Everything below is chosen for reliability and auditability first.
Deel
Its HR platform is free up to 200 employees. If you employ people across borders, the compliance infrastructure is the product, and building that yourself is not a realistic option.
Gusto
The US small-business answer. It's built around the unglamorous job of running payroll correctly, which is the only feature that matters at 2am on a filing deadline.
Rippling
The pick when you want HR and IT provisioning on one employee record. Onboarding that creates the accounts and ships the laptop in the same action removes a genuine category of error.
Where AI in HR Gets Risky
AI in HR is mostly excellent at the boring end and dangerous at the sharp end.
Low risk, high value: drafting job descriptions, summarising policy documents, answering routine employee questions from a handbook, scheduling.
High risk, and a compliance project rather than a purchase: ranking or filtering candidates, scoring performance, predicting attrition, anything that feeds a decision about an individual's employment.
Warning: if a vendor pitches automated candidate ranking and can't tell you how they test for disparate impact, what they log, or what a human reviewer can override, that's your answer. The demo will look impressive. The audit won't.
The Per-Seat Maths Nobody Runs
Per-user pricing is quietly the biggest line item, because it multiplies by a number that only goes up.
At a 40-person company:
Grammarly at $12 per user: $5,760 a year
ChatGPT at $20 per user: $9,600 a year
Microsoft Copilot at $20 per user: $9,600 a year
Jasper at $49 per user, even for just 8 marketers: $4,704 a year
Buy all four and you're past $29,000 annually, which for many mid-size companies exceeds the entire analytics budget.
Our recommendation: licence per actual daily user, not per employee. Most organisations have a group of ten to fifteen people who'd use an AI assistant every day and a long tail who'd open it twice a quarter. Buying seats for the tail is how AI budgets quietly triple.
Four Mistakes We See Repeatedly
Buying a specialist tool before exhausting the general one. Most "we need an AI content platform" conversations end when someone tries the assistant they already pay for.
Rolling out per-seat licences to everyone at once. Start with the daily users and expand on evidence.
Treating HR AI as a productivity purchase. It's a compliance purchase that happens to save time.
Skipping the free tier. Klaviyo, Brevo, Buffer, Deel's HR platform, Claude and ChatGPT all have real free tiers. Several teams could run an entire quarter without spending anything.
How to Choose
Marketing: one general assistant for everyone. Add Grammarly if writing quality varies across the team. Add an email platform matched to your model, Klaviyo for ecommerce, ActiveCampaign for B2B. Add social only when publishing volume justifies it, and start with Buffer or Metricool rather than the expensive incumbent.
HR: payroll and records first, matched to geography. Deel if you hire internationally, Gusto if you're US-only and small, Rippling if IT provisioning is a real pain. Add AI at the drafting-and-summarising layer. Treat anything touching hiring or performance decisions as a project with legal involvement, not a subscription.
Final Verdict
For marketing, Claude at $17 and Klaviyo or ActiveCampaign for email will cover most of what a team of ten actually needs, for less than the cost of one Jasper seat per marketer. Add Metricool at $18 if social reporting matters.
For HR, Deel if you hire across borders, Gusto if you don't. Use AI to write the job description. Keep a human on the decision about who gets hired, and keep the record showing that you did.
The pattern across both: the best-known tool is rarely the best buy, and per-seat pricing does more damage to a budget than any single purchase decision.
Why shouldn't I buy AI tools for HR and marketing the same way?
Because the cost of being wrong is completely different. A bad AI-written email costs you an unsubscribe and ten minutes. A screening model that quietly filters candidates by a proxy for age or ethnicity costs you a discrimination claim, a regulatory file and a hiring pipeline you have to rebuild. Marketing AI wants speed and volume. HR AI wants auditability and human oversight. Buying both on the same criteria gets one of them wrong.
Does the EU AI Act apply to HR software?
AI used in recruitment, candidate selection and worker management sits in the high-risk category under Annex III of the EU AI Act, which brings obligations around documentation, human oversight, transparency and record keeping. The duties for these systems phase in through 2026, so check the current enforcement position before you buy rather than trusting any article's summary. If you employ anyone in the EU, ask vendors what they'll put in writing.
Do I need a dedicated AI writing tool, or is a general assistant enough?
For most teams a general assistant is enough. Claude and ChatGPT both write well at around $17 to $20 per user per month. Dedicated marketing AI earns its price when you need one enforced brand voice across many writers and channels, which is a real problem at scale and an invented one below about ten marketers. Below that, paying more than twice the price of a general assistant is hard to justify.
What's the actual cost of rolling AI out to a whole team?
Multiply properly before you commit. Grammarly at $12 per user across 40 people is $5,760 a year. Microsoft Copilot at $20 per user across the same team is $9,600. Add a couple of specialist tools and a mid-size company is spending more on AI seats than on the analytics stack. Buy for the people who'll use it daily, not for headcount.
Can AI write our job descriptions and screen applicants?
Writing job descriptions is low risk and a genuinely good use. Screening applicants is where it changes character. Automated ranking or filtering of candidates is a regulated activity in a growing number of jurisdictions, including New York City's bias-audit rule for automated employment decision tools. If you're going to do it, you need a documented human review step and evidence you've tested for disparate impact. Treat it as a compliance project rather than a productivity one.
AI toolsHR softwaremarketingcompliance
How we write.Pricing in this article comes from vendors' published pricing pages, the same source as our tool profiles. We take no payment for placement, and some links earn us a commission — read the methodology.
LK
Lokesh Kapoor
Last reviewed . Prices in this article are taken from each vendor's published pricing page, the same source as the tool profiles in our directory.
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