AI Content Engine
30 days of content in 30 minutes — in your voice.
- ●Voice-capture intake to clone your tone
- ●Hook library (200+ tested patterns)
- ●30-day content calendar generator
- ●Repurposing flows: 1 long-form → 10 short-form
A repeatable content system that turns one idea into a week of posts, reels, and emails. Includes voice-capture prompts, hook libraries, and platform-native scripts for IG, TikTok, LinkedIn, and YouTube Shorts.
- Coaches
- Real estate agents
- Airbnb hosts
- Ecommerce stores
What it replaces, what it needs, what it returns
No migration and no new platform. The system reads from the tools you already run and writes back into them.
The manual version of this job
- Remembering to follow up
- Writing the same message twice a day
- An agency retainer for the same workflow
What it reads
- Your lead source or inbox
- Calendar availability
- Your pricing bands and service area
What it returns
- Qualified, booked appointments
- Sent messages logged against the record
- A weekly report of what it recovered
Works with
- Zapier
- Make
- HubSpot
- GoHighLevel
- Pipedrive
- Twilio
- Cal.com
- Calendly
- Google Workspace
- Notion
- Airtable
- OpenPhone
Four steps to live
Import the templates
Import the AI Content Engine templates into Zapier, Make, or your CRM.
Tune to your voice
Run the voice-capture prompt so all generated copy matches your tone.
Connect your triggers
Point the workflows at your lead source, calendar, and phone system.
Ship and iterate
Turn it on, watch the first 10 leads flow through, and tune the prompts weekly.
AI Content Engine ships as a Notion dashboard, a PDF playbook, and import-ready Zapier/Make blueprints.
A neighbourhood restaurant fills slow weeknights from its own guest list
Modelled on a 70-cover restaurant with 2,400 opted-in guest emails and a $46 average cover, running two thin nights a week.
The starting situation
Marketing means posting a photo when someone remembers, and paid reach on social is a rounding error. Tuesday and Wednesday run at half capacity while the guest list — people who already liked the food enough to hand over an email — hears from the restaurant maybe twice a year.
What was installed
- AI Content Engine producing a weekly specials email and matching social copy in the house voice
- Birthday and anniversary club sending automatically, targeted at the slow nights
- 60-day win-back sequence for guests who stopped visiting
- Review request triggered on table turn rather than asked verbally
Before and after
| Measure | Before | After |
|---|---|---|
| Guest emails on file | 2,400 (unused) | 2,400 (worked weekly) |
| Marketing sends / month | 0–1 | 4 + automations |
| Content production time | 2–3 hrs / week | ~20 min / week |
| Incremental covers on slow nights | — | ~70 / month |
| Average cover | $46 | $46 |
The arithmetic
- 2,400 contacts × a 2.9% redemption across the month = about 70 incremental covers.
- 70 × $46 = roughly $3,220 of added revenue on nights that were already staffed.
- Because the labour and rent are fixed on those nights, most of that lands as margin.
The $79 system is covered by two extra tables.
Verdict: The cheapest guests to bring back are the ones who already came. A content engine is what makes contacting them weekly survivable.
Guarantees and supported integrations
- 14-day refundInstall it, run it, and if it doesn't fit, get your money back.
- Lifetime updatesEvery revision of a system you own ships to you, free.
- No lock-inBlueprints run on your own accounts. Cancel and they keep working.
- Secure checkoutPayments handled by the processor. We never store card details.
Works with the stack you already pay for
- Zapier
- Make
- HubSpot
- GoHighLevel
- Pipedrive
- Twilio
- Cal.com
- Calendly
- Google Workspace
- Notion
- Airtable
- OpenPhone
Integration partners, not customer logos. We publish client names only with permission — none yet, so none shown.
AI Content Engine tuned for your industry
Same engine, different vocabulary, objections, and offer logic.
Free: the AI Revenue Leak Checklist
See whether AI Content Engine is the right first system for your business — before you spend a dollar.
Key terms behind the AI Content Engine
- Lead attribution
Lead attribution is the practice of recording where each lead came from — channel, campaign, page, and referrer — so revenue can be traced back to the spend that produced it.
- Conversion rate
Conversion rate is the percentage of people at one stage of your funnel who move to the next — visitors to enquiries, enquiries to bookings, bookings to paying customers.
How the numbers on this page are measured
Every metric quoted for the AI Content Engine has a stated definition, a formula, and an assumption you can test against your own books. Last reviewed 2026-08-05.
| Metric | Definition | How it's calculated | Assumption |
|---|---|---|---|
| Cost per booked job | All-in monthly cost of the system divided by the jobs it books. | (system_cost + tool_subscriptions) ÷ booked_jobs_attributable_to_the_system. | Only jobs where the system made first contact are attributed; jobs from referral or repeat customers are excluded. |
Sources
- The Short Life of Online Sales LeadsHarvard Business Review, 2011Response time is the dominant variable in inbound lead conversion; contact odds fall sharply after the first hour.
- Lead Response Management studyMIT / InsideSales, 2007Contacting a web lead within five minutes materially increases qualification rates versus contacting after 30 minutes.
- Local Consumer Review SurveyBrightLocal, 2024Most consumers read reviews before choosing a local service business, and review recency affects trust.
- Local Search Ranking FactorsWhitespark, 2023Review quantity, recency, and response behaviour are recognised local-pack ranking signals.
- Small business phone and messaging behaviour researchGoogle / Ipsos small business studies, 2019Calls are a primary conversion path for local service searches, so unanswered calls are lost revenue rather than deferred revenue.
- Business texting engagement benchmarksTwilio Messaging research, 2023SMS is opened and replied to faster than email for time-sensitive service conversations.
What this is — and isn't
Figures on this page are modelled, not audited client results. Inputs (call volume, ticket size, close rate) are stated next to every number so you can substitute your own. We do not publish named-client outcomes, aggregate ratings, or testimonials we cannot evidence.
Full modelling rules, attribution rules, and the correction policy are on our methodology page.
Questions before you buy
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