Marketing automation for data management companies
Data engineers research tools by reading, comparing and asking AI long before they book a demo. Maggie, your AI CMO, writes technical explainers, comparison posts and LinkedIn updates for your website, so your product shows up in that research, and your team approves every one.
Free to start · No credit card · 30 free posts
Used by 600+ users and trusted by teams at
aeglesriphal.com
moonlakespa.com
shop.theteagroup.com
clo100.com
logtrics.io
mymorez.com
nextidal.com
otisapp.com
storaitelling.com
theheatpumps.co.uk
web-translations.com
exposeai.tech
orielipo.com
whitelabelcrowd.fund
elliptic.co
med.moonlakespa.com
netdex.co.il
orawellness.uk
reenest.com
syngage.ai
thepenthouseliving.com
zengolf.studio
imaintain.uk
rebuildingsociety.com
aurasocial.world
goaimex.com
moneyparents.com
newgenrenewables.uk
osmosisai.co
saunders.ac
teeza.app
thursdayclub.com
Why data management companies struggle to keep content flowing
Your best writers are your engineers, and they have pipelines to ship. The content that helps buyers understand your product keeps waiting for a free sprint.
Technical posts take engineers' time
A good post on change data capture or schema evolution needs someone who understands it, and that person is fixing a connector. So the blog gets one deep post a quarter, if that.
Two buyers, two languages
Data engineers want specifics: throughput, connectors, formats. Heads of data and finance teams want cost, risk and governance. Writing for both, every week, is more than a small team can do.
Comparisons are written by others
People search “your product versus” the big platforms, and the pages they find are written by competitors or review sites. If you don't explain where you fit, someone else will.
Releases ship, then go quiet
A new connector, a faster sync, support for a new table format. It lands in the changelog and the docs, but never becomes a post that a buyer, or an AI answer, would ever find.
Your new connector ships on Thursday, and the posts explaining it are ready.
It's Monday. Your team has just finished a new connector for a popular database, the changelog entry is two lines long, and your last blog post was a conference recap from the spring.
You paste your company's website into cmo.so. Maggie reads it and writes your brand profile: your data integration platform, the data engineers and heads of data who buy it, your open-source roots, the larger vendors you compete with, and your precise, unpretentious voice. You correct one thing: you now offer a self-hosted option as well as cloud.
By Wednesday the drafts are waiting, each with a diagram-style picture in your brand's look: a blog post explaining how change data capture works with the new connector, a comparison of batch versus streaming syncs for teams choosing an approach, a LinkedIn post for heads of data on cutting pipeline maintenance, and a release post. You approve two and ask an engineer to check a configuration detail in the third.
The posts go out at each channel's times and come back with their links. Search Console in cmo.so shows which explainers bring data engineers to your site, and AI visibility shows how Google's AI answers describe your product.
Content that data teams actually read
Each of those problems has an answer, and your team still approves every post published under your name.
Technical explainers on your own site
Posts on architectures, migrations, data quality, governance and how your product handles each, written for Google and for AI answers. Published to your WordPress, Webflow or Wix site, or any site through the cmo.so API.
Blog on autopilotYour product, described precisely
Enter your website and Maggie builds your brand profile: what your platform does, who buys it, what sets you apart, competitors and voice. Every post starts from it, and she learns from each correction your engineers make.
Brand profileHonest comparisons and alternatives
Posts that explain where your product fits next to warehouses, lakehouses and integration tools, so people searching for options find your view, not just a competitor's.
ComparisonsEvery release becomes a story
New connectors, performance work and format support each get a post that explains why it matters, planned around your release schedule and queued ahead.
Release postsLinkedIn for data leaders
Posts on cost, reliability and governance for heads of data and CTOs, in your company's voice. YouTube, TikTok, Instagram and Facebook are in beta for short walkthroughs.
LinkedInSee how AI answers describe you
AI visibility shows how Google's AI answers mention your product, and Search Console shows which explainers bring people to your website.
AI visibilityYour marketing team, in your pocket
Real screens from the cmo.so app on iPhone.
From your company's website to a steady technical blog in four steps
Enter your website
Maggie reads it and drafts your company's brand profile in minutes.
Check your profile
Correct product details, add upcoming releases and choose your channels.
Review the drafts
Your first week of posts arrives with pictures. Approve, edit or skip each one.
Let them go out
Approved posts go out at each channel's times and every one comes back with its link.
Why not just…
The usual ways data management companies try to keep content going, and where each one runs out.
…ask the engineers to blog?
They write the best posts, but rarely, because every post costs a sprint day. Maggie drafts from your docs and website, and an engineer only needs to check the details.
…hire a technical content agency?
SEO and content agencies often cost around £1,000 a month, and still need your engineers to brief them. Maggie learns your product from your site and writes from £15 a month.
…hire a developer advocate?
A full-time marketing hire in the UK costs around £3,000 a month before tools, and one person can only write so much. Maggie keeps the blog and LinkedIn going while they focus on talks and community.
…write it with ChatGPT?
You still brief it, check every technical claim, make the picture and post it yourself, and it doesn't know your product. Maggie remembers your platform and publishes on schedule.
Cut the £5,900/mo marketing bill to £15/mo
Everything a marketing team does, done by Maggie.
| What needs doing | Without cmo.so | With cmo.so |
|---|---|---|
| Full-time marketing hire | £3,000/mo | Included |
| SEO and AI search (GEO) agency | £1,000/mo | Included |
| Content writer, AI-assisted | £500/mo | Included |
| Social media manager, freelance | £800/mo | Included |
| Designed pictures for every post | £300/mo | Included |
| SEO and GEO softwareRank tracking, site audits, AI visibility | £250/mo | Included |
| AI writing and image tools | £50/mo | Included |
| Working hours | Office hours | 24/7 |
| Total per month | £5,900+ | From £15/mo |
Typical UK costs for a small business in 2026, with AI already cutting freelance rates. Estimates only; your own quotes will vary.
- 5 social posts, 30 once verified
- 15 Maggie messages a day
- Upgrade any time
- 12 posts a day
- 150 Maggie messages a day
- All channels
- 96 posts a day
- 1,000 Maggie messages a day
- All channels
Per website, billed monthly. Blog and social posts share one allowance; your best plan sets how much you can talk to Maggie across all your websites.
Marketing automation for data management companies: your questions
Still unsure?
What is marketing automation for data management companies?
It's software that handles the repeating work of marketing a data product: planning technical topics, writing blog and LinkedIn posts, making pictures and publishing them on schedule.
With cmo.so, Maggie does this from your company's website and docs, and nothing goes out until your team approves it.
How do data management companies get more customers online?
Data management companies get more customers online by being useful to the people researching tools: clear technical explainers, honest comparisons and release posts on their own website, plus regular LinkedIn posts for the leaders who sign off on budgets.
Maggie writes those posts every week, and Search Console in cmo.so shows which ones bring data engineers and buyers to your site.
How much does it cost for a data company?
There's a free plan with no card needed. Paid plans are per website and billed monthly: Air at £15 a month covers two posts a day, and Pro at £45 a month suits a company posting on its blog and LinkedIn every week.
Founding members get lower prices for good on every plan until 1 January 2027. You can cancel any time.
Which channels should data management companies start with?
Most start with their own blog, because technical explainers and comparisons are what data engineers search for and what AI answers quote, and LinkedIn, where heads of data and CTOs follow vendors.
YouTube, TikTok, Instagram and Facebook are in beta and suit short walkthroughs. Each channel has its own posting times and queue.
Is it safe to let AI write about our product?
Yes, because nothing goes out until your team approves it. Engineers can correct any technical detail before a post is published, and Maggie learns from those edits.
Social channels connect through each platform's official sign-in, so cmo.so never sees your passwords, and cmo.so never sells or rents your data.
Can it write accurate technical content?
It writes from your website, docs and the brand profile you check, so the more detailed those are, the more accurate the drafts will be.
Technical posts still deserve a careful read by someone who knows the product, and every correction is remembered for the next posts.
Does cmo.so need access to our customers' data?
No, cmo.so never touches your platform or anyone's data pipelines. Maggie works only from your public website, docs and the brand profile your team checks.
Search Console data is only used to show your site's own results and plan its content, never for advertising or to train AI models.
Can it write comparison posts about competitors?
It can, in a fair and factual way. Maggie can write posts on how your approach differs from other categories of tools and when each one makes sense.
You review every comparison before it goes out, so claims about other products stay accurate and in your control.
Can it write for both engineers and executives?
It can. One idea can become a detailed blog post for data engineers and a shorter LinkedIn post on cost and risk for heads of data, each in its own style.
Each channel has its own voice, post template and posting times.
Does it fit a developer workflow?
It does. Besides the web app at app.cmo.so, there is an MCP server and a CLI for developers, and through the cmo.so connector your team can ask Maggie for drafts from inside ChatGPT or Claude.
So an engineer can check or approve a post without leaving the tools they already use.
We have an open-source project and a commercial product. Can cmo.so handle both?
It can. Add each website to one account, and each gets its own brand profile, channels, schedule and approvals.
The community site can stay practical and developer-led while the commercial site speaks to buyers.
Can our engineers approve posts too?
They can. In Me → Team you can add people with presets such as editor or manager and choose what each can see or change.
An engineer can check technical posts while marketing approves LinkedIn.
Let your engineers ship while your blog keeps up
Enter your website. Your brand profile and first week of posts are ready in minutes, and nothing goes out until your team approves it.
- Free plan, no card needed
- You approve every post
- Cancel any time