The AI coworker built for marketing teams
Most AI coworkers are horizontal — built for every job, optimized for none. Mavrick is purpose-built for marketing: ad accounts, CRM, attribution, reporting, scheduled workflows. Lives in your Slack. Speaks your vocabulary. Knows your tools' quirks.
Six marketing workflows an AI coworker handles
Not a list of features. A list of work that gets done.
Ad operations
Pause waste ad sets at 03:00, scale winners by 20% when ROAS clears your threshold, pull yesterday's spend report into Slack at 9am. Meta, Google, TikTok, LinkedIn.
Meta Ads · Google Ads · TikTok Ads · LinkedIn Ads
CRM hygiene + outreach
Update lead stages, follow up on stalled deals, log meeting notes, tag new contacts from Stripe — the manual CRM work that always falls behind.
HubSpot · Salesforce · GoHighLevel · Pipedrive
Attribution + reporting
Cross-channel revenue attribution from Stripe back to first-touch source. Weekly + monthly cadences. The brief that took someone 4 hours, now arrives in Slack while you sip coffee.
Stripe · GA4 · Shopify · Mixpanel
Content + creative ops
Draft customer-update posts from product changelogs. Variant-test ad copy against your brand voice rules. Ship to a #drafts channel for review.
Notion · Google Docs · Sanity · Figma
Vendor + integration health
Detect when a campaign breaks because Pixel fires stopped. Detect when a CRM webhook silently drops events. Tell you before the dashboard does.
All integrations · Smoke probes · Audit log
Recurring marketing rituals
Monday team standup briefing. Friday EOW spend wrap. Monthly client report. The work that gets dropped when nobody owns it.
Scheduled tasks · Slack #marketing · Email drops
What an AI coworker for marketing teams actually does
It knows your tools' actual quirks
GA4's session vs event windowing. HubSpot's lifecycle stage transitions. Meta's attribution windows. A horizontal AI coworker reads docs; a marketing AI coworker has the gotchas built in.
It knows your work's actual cadence
Weekly spend reports on Mondays. Monthly attribution on the 1st. Q-end pacing. Out of the box, with the right time-zone awareness, not after 3 weeks of prompt tuning.
Its safety rails are tuned for ad spend
Approval gates harden around budget changes. Bulk-destructive actions (pause all, archive all) require typed confirmation. Mistakes that cost $5K can't slip through.
It speaks your vocabulary
ROAS, CAC, LTV, MQL→SQL conversion, view-through. No translation layer between you and the AI. Your team's Slack vocabulary IS the prompt vocabulary.
Mavrick vs horizontal AI coworkers
Built for everyone, optimized for no one. Has to be configured for your stack from scratch.
Pre-wired for marketing tools, vocabulary, and rituals. Day-one productivity.
Generic safety rails. Same approval flow for 'send a Slack message' and 'pause $50K in ad spend.'
Marketing-aware safety. High-stakes actions (budget, bulk pause) trigger explicit confirmation; low-stakes (drafts, reports) flow freely.
Per-seat pricing. Scales linearly with team size.
Credit-based usage. Scales with work output, not headcount.
A typical week with an AI coworker on the marketing team.
Mavrick posts the weekly performance brief to #marketing-execs: ROAS by platform vs Stripe revenue, ad-spend vs plan, top 3 winners + top 3 losers, suggested next-actions for the week. Brief is built from live data, not from your manual export.
Team reviews the brief in Slack. CMO @-mentions Mavrick: 'pause the 3 worst Meta campaigns from the brief.' Mavrick proposes the specific campaigns + pause action; CMO clicks cleared-hot; pauses execute; audit log writes.
An inbound demo-request form fills. Mavrick voice-dials in 12 seconds, qualifies the lead against your discovery script, books the meeting on Liz's Tuesday-3pm slot, posts the handoff card with full transcript to #inbound-sales.
A new TikTok creative concept is ready. Marketing manager @-mentions Mavrick to ship it: 'create a TikTok Ads campaign, 3 ad variants, $50/day cap, targeting profile X.' Mavrick proposes the campaign config; one click; live in TikTok Ads in under 2 minutes.
Cross-platform attribution reconciliation runs. Mavrick posts the gap report to #marketing-ops: Meta-reported revenue vs Stripe-actual, Google-reported vs Stripe-actual, blended ROAS haircut applied to this week's reports.
Mavrick drafts the Friday wrap for the exec channel. Numbers ready, top decisions surfaced, action items proposed for next week. Team revises, approves, posts.
AI coworker for marketing — questions answered.
How is an AI coworker for marketing different from a generic AI agent?
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A generic AI agent treats all knowledge work the same. An AI coworker for marketing knows the actual tools (Meta Business Manager quirks, Google Ads bidding strategies, Stripe subscription mechanics, HubSpot deal stages), the actual workflows (weekly briefs, campaign reviews, attribution reconciliation), the actual safety rails (don't auto-pause without seeing the 7-day spend, don't transfer budget across accounts without approval). The vertical-specific tuning is what makes it useful, not the underlying model.
Do I still need a marketing analyst if I have an AI coworker?
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Different work. Analysts do interpretive work that requires judgment and stakeholder context — pricing strategy debates, market entry sequencing, brand-positioning calls. Mavrick handles the data pull + comparison + first-pass synthesis + execution. Most teams pair a senior analyst with Mavrick and let Mavrick eat the report-pulling and brief-drafting work that burns out the analyst.
Can Mavrick handle the multi-platform attribution reconciliation that breaks our Mondays?
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Yes — that's exactly the use case Mavrick was built for. Pull Meta-reported revenue, Google-reported revenue, Stripe-actual revenue, calculate the cross-platform double-count haircut, post the reconciled ROAS by campaign to your Slack. See /blog/google-ads-roas-threshold for the methodology and /blog/why-your-roas-is-lying-to-you for the deeper attribution-gap explanation.
Does Mavrick learn from our team's specific approach?
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Yes — every approval, every correction, every cleared-hot teaches Mavrick what your team prefers. The closed-loop self-improvement architecture is documented at /product. You can audit every pattern Mavrick has learned at /learninglog and every pattern declined at /decline-log.
What if we already use Claude or ChatGPT in Slack?
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Keep using them — they're complementary. Claude / ChatGPT for strategy + drafting + reasoning (assistant work). Mavrick for the execution layer on connected systems (coworker work). The two-tool pattern is what most serious marketing teams converge on in 2026.
Stop hiring more SDRs. Hire one Mavrick.
10 free missions. Lives in your Slack. No per-seat fees.