Service
Generic AI-written copy is easy to spot and cheap to ignore. We build content production systems that produce the volume modern marketing actually demands — in your voice, on your strategy, reviewed by humans before it ships.
Midus sets up tuned writing models, content plans, and editorial review layers so your email sequences, blog posts, landing pages, and ad copy come out on-brand and ready to publish. It's not "hit generate and hope." It's a production pipeline with a human editor at the end.
Who this is for
Your team of two or three is supposed to run email, blog, social, SEO, and paid — and somehow also ship a newsletter. Deadlines slip. Quality wobbles when you're just trying to hit volume. You don't need another hire; you need leverage.
You know you should be publishing. The agency quote was $8k/month for four blog posts. So instead, nothing happens for six months at a time. Competitors with less product are outranking you because they ship weekly and you don't.
Your product is working, activation is fine, retention is fine — but you can't fill the top of the funnel fast enough. SEO is a compounding asset you haven't started. Lifecycle emails are still the three your team wrote two years ago.
What we build
Every content engine is custom. The components below are what we typically ship together; the mix depends on your channels, your existing brand assets, and how much editorial oversight you want in the loop.
We train on your existing best-performing content — landing pages, top emails, product copy, tone guides — so the model learns your actual voice. Not "professional but approachable." Your rhythm, your vocabulary, the things you refuse to say.
Welcome series, onboarding drips, re-engagement, renewal reminders, post-purchase flows. Personalized by segment and behavior. We write the library, wire it into your ESP, and keep variants running against each other.
Keyword clusters, briefs built from real SERP analysis, drafts grounded in primary sources and your own product knowledge. Not thin "what is X" filler — the kind of content that ranks and actually helps someone making a buying decision.
Home, product, pricing, comparison pages, feature deep-dives. Structured around the jobs-to-be-done of your buyer, not templated hero-feature-CTA scaffolding. We iterate on messaging variants and feed conversion data back into the model.
LinkedIn, X, Reddit, Meta, Google — each channel has its own rhythm, and we tune for it. Ad variants produced in batches of dozens so you can actually do statistically honest testing, not pick from the three your team had time to write.
A human editor reviews every piece before it ships. Claims get verified against source documents. Product details checked against current docs. Brand deviations flagged. This is the part most "AI content" operations skip — and it's the part that keeps you out of trouble.
Outcomes
Example scenarios below reflect the range we typically see. Your numbers will depend on starting baseline, audience, and how aggressively you publish and promote.
Publishing cadence
A company that was shipping one blog post per quarter moves to weekly publishing on a defined editorial calendar — without hiring. The backlog of "we should write about X" finally gets worked through instead of accumulating.
Example scenario.
SEO traffic
Consistent, well-researched SEO content targeting real buyer-intent keywords typically starts returning traffic in 3–6 months and compounds from there. We've seen 2–5x organic visit growth over 12 months on mid-market B2B sites from consistent cadence alone.
Example scenario.
Email performance
Moving from "one email to everyone" to segmented flows with personalized subject lines and variants typically lifts opens by 15–30% and clicks by more. The gains come from sending less but more relevant mail, not sending more.
Example scenario.
How we work
We read your best existing content, interview the people who write it, and document your voice in a form the model can actually use. Output is a voice guide, a do/don't list, and a shortlist of content formats that matter for your channels.
We build the editorial calendar, the keyword and topic plan, and the tuned drafting pipeline. You review the first batch of drafts, we calibrate, and the pipeline tightens quickly. Most clients are happy with output quality by the end of week three.
Each piece gets editorial review, fact-check, and final polish before publishing. We track what performs, feed winners back into the system, and retire formats that don't work. It's a loop, not a one-off delivery.
FAQ
Not if it's done right. Slop happens when someone pastes a prompt, clicks generate, and publishes. We build a pipeline with three things that most "AI content" skips: a model tuned on your actual writing, grounding in your real product and source material, and a human editor on every piece before it ships. You'll see drafts early in the engagement and veto anything that sounds off — we tune until it doesn't.
Two inputs. First, your existing best content — we mine the pieces that actually performed and the ones the team is proud of. Second, explicit rules from interviews with your marketing leads: words you never use, metaphors you avoid, the gap between how you talk to engineers vs. executives. Voice is a long tail of small choices; we treat it that way rather than asking you to fill in a tone slider.
Both, configurable per format. For high-stakes pieces (pillar blog posts, landing pages) we typically have a human writer use AI-assisted tooling and a tuned model — draft, not autogenerate. For high-volume, lower-stakes pieces (ad variants, short social copy) the pipeline generates and an editor curates. You decide the mix based on risk and volume.
Google's position is that it penalizes unhelpful content, not AI-written content specifically. What gets penalized is thin, duplicative, clearly-automated filler — the same stuff a lazy human would produce. Well-researched, original, genuinely useful content ranks regardless of who or what typed it. Our pipeline is built around originality, primary-source grounding, and editorial review precisely to stay on the right side of that line.
Your call. Some clients want us to publish directly into their CMS and ESP on a schedule; others want drafts delivered into a review queue for their team to push live. We integrate with WordPress, Webflow, Ghost, Sanity, HubSpot, Mailchimp, Klaviyo, Customer.io, and most other common stacks.
It depends on volume and how much editorial we're doing. A light engagement (four blog posts per month plus lifecycle email maintenance) typically runs a few thousand dollars monthly. A full content operation (weekly SEO content, ongoing ad and social copy, lifecycle optimization, monthly reporting) is more. We spec realistic numbers during scoping and don't have long lock-in contracts.
Related services
Tell us your channels, your current cadence, and where you're stuck. We'll come back with a realistic plan, cost range, and timeline — typically within two business days.