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Content & Social Pipelines · SEO Blog Generation

One video.
A full week
of content.

One long-form video or article becomes short-form clips, captions, a LinkedIn post, a tweet thread, and a fully SEO-researched blog article — automatically published across every platform on a schedule you set.

Book a call See the output map ↓
One input. Many outputs.

What you put in versus what the system produces.

Every output is platform-native — not the same text copy-pasted everywhere. Short-form is rewritten for attention. LinkedIn is rewritten for authority. The blog is built from SEO research first.

Source video
YouTube · Loom · MP4
🎬
6 short-form clipsReels · TikTok · Shorts
💼
LinkedIn articleAuthority-format long post
🐦
Tweet thread10-tweet breakdown
📧
Email newsletterSummary + CTA
📝
SEO blog articleKeyword-researched · optimised
📱
7 captionsPlatform-specific + hashtags
SEO blog generation

Every blog article starts with keyword research, not a blank page.

Most AI-generated blogs pick a title then write. Ours researches first — finding the exact keyword your audience is searching, checking competition, and building the article structure around what Google actually rewards.

The result is content that ranks, not just content that exists.

01

Keyword research

AI identifies the best keyword cluster from your video topic — search volume, competition, and intent all evaluated before writing starts.

02

Structure planned

H1, H2 structure built around what ranks for that keyword. Competing articles analysed to find gaps your content can own.

03

Article generated

Full article written from your video transcript — your insights, your voice, your examples. Not generic AI filler.

04

Published automatically

Posted to your blog (WordPress, Webflow, Notion) with meta title, meta description, and schema markup included.

🔍 Keyword research · "ai automation agency"
ai automation agency for marketing
2,400 / moLow KD
marketing automation agency
8,100 / moMed KD
n8n automation service
1,200 / moLow KD
How AI Automation Agencies Are Replacing Manual Ad Operations in 2026
1,840 wordsReading: 7 minSchema: Article
Marketing agencies spending 20+ hours per week on manual reporting and ad management are losing a competitive advantage they don't know they have. AI automation agencies now handle bid adjustments, anomaly detection, and client reporting in minutes — not days. Here's what that shift means for your team...
Sample outputs

Platform-native content. Not copy-paste.

The same source material produces different voices for different platforms. LinkedIn sounds authoritative. Captions sound human. The tweet thread drives clicks.

LinkedIn
Short caption
Tweet thread
LinkedIn · Long-form post
The best-performing change we made for our agency clients wasn't a new creative strategy. It was removing 16 hours of weekly manual work from their reporting process. Here's what we built, and why it changed their capacity completely: Every Monday at 9 AM, an AI system pulls performance data from all 7 of their Meta and Google Ads accounts. It reconciles the platform numbers against GA4 actuals (they're different — usually by 20–30%). It writes an analyst-quality summary. It flags anomalies ranked by severity. It sends the full report to Slack. Their team doesn't open a dashboard anymore. They receive a brief that tells them exactly what happened and what to do about it. The shift isn't just time. It's decision quality. When your analyst isn't spending Monday morning pulling numbers, they're spending it acting on them. This is what marketing automation should actually look like.
Instagram / Reels caption
Your analyst shouldn't be pulling reports on Monday morning. They should be acting on them. We built a system that does the pulling, the analysis, and the summary automatically — and delivers it to Slack before your team's first coffee. 16 hours saved. Per week. Per agency. ☕→📊→done.
#MarketingAutomation#AIAgency#MetaAds#AgencyLife#PerformanceMarketing
X (Twitter) thread
Marketing agencies spend 16+ hours/week on manual reporting. Here's the exact system we built to eliminate that: 🧵 1/ Every Monday at 9 AM, a scheduler triggers an automated pull across all connected Meta and Google Ads accounts simultaneously. 2/ The data is normalized and reconciled against GA4 actuals. Platform-reported conversions are usually 20–30% inflated. The system corrects for this before analysis. 3/ An AI layer writes what a senior analyst would write. Account performance, trend identification, anomaly flagging — all structured for fast decision-making. 4/ Critical anomalies (budget overspend, ROAS floor breach, frequency spike) are flagged with severity levels and recommended actions attached. 5/ The full report lands in Slack. Per client. Per account. Before the team's first meeting. Result: analysts stop spending Monday morning on data collection and start spending it on strategy. That's the actual value of automation.
0 inOne video or article input produces a full week of platform-native content across 4+ channels
0+Outputs per video — clips, captions, LinkedIn post, tweet thread, email, and SEO blog article
0Manual reformatting by your team — every output is written, formatted, and scheduled automatically
Next step

Ready to turn one piece of content into a full week of publishing?

Book a call. We connect to your content source, build the pipeline, and show you your first batch of outputs live.

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No sales pitch, just a conversation.