AI marketing automation that drafts the work and waits for your approval.
Marketing AI automates the drafting, validation, and shipping of marketing work across SEO, paid, content, and reporting - reading from your real channel data and routing every artifact through a human approval queue before it goes live.
Most "AI marketing automation" automates the wrong layer.
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Marketing automation that automates the wrong layer
Most "AI marketing automation" tools automate sending - emails, drip campaigns, ad rotations. The work that actually moves a number - audits, briefs, ad copy, schema, reporting - is still done by hand. Marketing AI automates the drafting work and leaves the sending decisions to a person.
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Auto-publish without a safety net
Most automation flows ship work to live channels without senior review. A wrong meta tag breaks a top page. A bad ad burns spend. Marketing AI queues every artifact for approval first and only auto-publishes the tasks you explicitly scope as safe.
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Workflow context lost between systems
The keyword cluster lives in Ahrefs, the brief in Notion, the draft in Surfer, the approved version in the CMS, the report in Looker. The chain of decisions disappears between handoffs. Marketing AI keeps the full record in one platform.
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Reporting takes longer than the work
A Monday brief that summarises last week and frames the next sprint takes half a day to stitch together. By the time it lands, the team is already in the next sprint. The brief should write itself.
Six disciplines drafted on a schedule, queued for approval.
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Audit
Site Audit
Site crawls scheduled, scored, and packaged with the next revenue move drafted for review.
Read the Site Audit page -
Plan
Google Ads
New search queries, negative keywords, and ad variants drafted from real GSC and GA4 signals.
Read the Google Ads page -
Ship
Content at Scale
Briefs and drafts triggered on a cadence, validated against the audit, queued for human approval.
Read the Content at Scale page -
Ship
Title and Meta
CTR-lift candidates drafted weekly from underperforming queries, ready to push when approved.
Read the Title and Meta page -
Validate
Schema Validation
Sixteen rules running on every page, broken patterns flagged with the patch already drafted.
Read the Schema Validation page -
Report
Reporting and Briefs
The Monday brief writes itself from GSC and GA4. The QBR draws from the same governed record.
Read the Reporting and Briefs page
Automation with an approval gate by default.
Marketing AI automates the drafting, the validating, the queuing, and the reporting. It does not auto-ship to live channels without a human approval signal - unless you explicitly scope a task as safe.
- Scheduled drafting against real channel data, not exported spreadsheets
- Every artifact lands in the approval queue with the reasoning attached
- Approval applies edits, ships through to the live surface, and logs the change
- Auto-publish is opt-in per task type, never the default
- Weekly Monday brief automated, QBR drafted, audit trail per artifact preserved
What this looks like for a 6-person growth team running SEO and paid in parallel.
Marketing AI runs scheduled audits and competitor checks overnight. The SEO owner opens the queue Monday morning to 6 approved content briefs, 4 schema patches, 12 keyword opportunities ranked by intent, and 3 title rewrite candidates for underperforming pages. The paid owner sees a fresh negative-keyword list, new search-query candidates, and ad variants drafted against last week's click data. By Tuesday lunch, both owners have approved enough work for the week. The Monday brief lands in their inbox at 7am Monday without anyone exporting a thing.
Most AI marketing automation buyers start on Growth or Agency.
Growth at $999 per month is the right tier for an in-house growth team. Agency at $1,999 adds multi-brand support, white-label reporting, and a dedicated success manager. Both tiers ship with all 15 disciplines and the approval-gate workflow built in.
AI marketing automation - what people ask first.
What does AI marketing automation actually do?
It automates the drafting, validation, and queuing of marketing work. Audits run on a schedule, content briefs get drafted from real data, ad copy and meta-tag rewrites are generated against last week's click data, and the Monday brief writes itself. None of this ships to a live channel without a human approving the artifact in the queue.
Will the automation ship work to my site or ad accounts without me approving it?
No - not by default. Every artifact lands in an approval queue with the reasoning attached. Approve, edit, or reject in one click. Auto-publish is available later for low-risk tasks like meta-tag updates once your team is comfortable with the queue, but it is always opt-in per task type.
How is this different from a marketing automation platform like HubSpot or ActiveCampaign?
Those platforms automate sending - emails, drip flows, lead routing. Marketing AI automates the drafting and validation work - audits, briefs, ad copy, schema, reporting. The two layers compose: Marketing AI drafts the email subject lines and the content; your sending platform handles the deliveries.
Can I connect Marketing AI to my existing automation stack?
Yes. Marketing AI reads from Search Console, GA4, Google Ads, Meta, your CMS, and your CRM. Approved artifacts can ship to your CMS or be exported to whatever sending or queueing platform your team already runs.
Who is AI marketing automation a strong fit for?
Teams running multi-channel marketing - SEO, paid, content, and reporting - who are losing too much time stitching reports and chasing approvals. Strong fit at $10k per month in paid spend or meaningful organic traffic to protect.
How long does it take to set up?
Channel connections take an afternoon. The first audit, plan, and brand voice document land in week one. By week four, the weekly approval cadence is stable and the Monday brief is running on autopilot.