The Problem
Three agencies that don't talk to each other.
The traditional model is broken. Content, SEO, and Ads siloed into separate teams with no shared context — creating endless tickets, delays, and recommendations that never get implemented.
3 separate hires
A content person, an SEO person, an ads person. Each with their own tools, workflows, and blind spots.
Tickets & delays
A quick copy change becomes a 3-day ticket. An SEO fix waits weeks. "We'll get to it next sprint."
Recommendations rot
Great insights in a report. Never actioned. The gap between advice and execution is where ROI dies.
Your Workforce
Three agents. One connected system.
Website Content Agent
Your site, always current. No tickets required.
Team members make changes via natural language. The agent researches, writes, and deploys live — from a single message.
- Copy changes, image swaps, new landing pages
- Blog posts and compliance updates on demand
- Proactive monitoring — flags outdated content automatically
- Works on-demand or autonomously in the background
Hey Max, update our T&Cs to include the new PDPA clause we discussed.
On it. I've reviewed the PDPA amendment, drafted the updated clause, and cross-referenced with your existing T&Cs for consistency.
10 blog posts researched, written, and deployed in 5 weeks
10
Posts published
5 weeks
Total timeframe
~8 min
Avg. time to live
A B2B technology company needed consistent content output without hiring a dedicated writer. The Content Agent produced deeply researched, SEO-optimised blog posts and deployed each one directly to their live site, including sitemap updates and indexing requests. Zero developer involvement.
SEO Agent
Spots the gaps. Writes the fix. Deploys it.
Pulls Search Console and Analytics data weekly. Finds what's underperforming and implements the fix — no human in the loop.
- Sitemaps, robots.txt, indexing, Core Web Vitals
- CTR gap detection — rewrites and deploys title/desc changes
- Link building: forums, directories, broken links
- Weekly attribution reports with full data context
Our pricing page is getting impressions but barely any clicks. Can you take a look?
On it. You're ranking #4 for "custom software pricing" with 2,400 impressions but only 1.8% CTR. Your title is generic — rewriting with intent-matched copy now.
New title: "AI Agent Pricing — Fixed Monthly, No Surprises | Agitech". Deploying to production.
0 to 11,000+ search impressions in 4 months
4,293
Impressions on top post
#1
Ranking for target keywords
14
Pages optimised & deployed
A Singapore-based SaaS company had zero organic visibility. The SEO Agent built the technical foundation (sitemaps, schema, canonicals), identified keyword opportunities, and worked with the Content Agent to publish targeted posts. One post alone generated 4,293 impressions at position 4.8. When the agent detected pages ranking #1 with 0% CTR due to generic titles, it rewrote and deployed new meta tags the same day.
Ads Agent
Budget always flows to what's working.
Connects to Meta and Google Ads. Monitors performance, reallocates budget, and creates A/B tests — automatically.
- CPA, ROAS, creative fatigue monitoring across platforms
- Auto-shifts budget to winning campaigns, pauses losers
- Creates and deploys A/B creative tests
- Cross-platform attribution + weekly budget recommendations
Our Meta campaigns feel stale. Can you check what's working and shift budget?
Creative set B has a 4.2x ROAS vs 1.9x for set A. Set A is showing fatigue — CTR down 34% week over week. Reallocating 70% of budget to B now.
Also generating 3 new headline variants based on B's winning angle. Launching A/B test within the hour.
Your ad spend works harder while you sleep
40%
Lower CPA on winning creatives
24/7
Continuous optimisation
3 days
Faster than manual reviews
Most media buyers review performance once a week. The Ads Agent monitors every creative, every audience, and every bid continuously. When a creative starts fatiguing or a new winner emerges, budget shifts happen automatically. No wasted spend sitting in underperforming campaigns over the weekend.
Where It Happens
Your agents live where your team lives.
No new tools. No dashboards to learn. Your agents communicate through the platforms your team already uses every day. Just message them like you would a colleague.
Slack
Channels & DMs
Telegram
Groups & bots
Microsoft Teams
Chats & channels
Business messages
Discord
Servers & threads
Asana
Tasks & projects
Plus email, SMS, and custom integrations. Your agents adapt to your workflow, not the other way around.
The Connected Brain
One ecosystem. Infinite leverage.
The agents don't work in isolation. They share context, trigger each other, and compound their output into a flywheel your competitors can't replicate manually.
SEO Agent
Identifies a keyword gap — high volume, no content
Content Agent
Writes the page, optimises on-page SEO, deploys live
Ads Agent
Spins up a targeted campaign to drive immediate traffic
The loop runs automatically. Every week. Every day.
How It's Different
Not a tool. Not a team. A system.
Traditional model
- ✕3 separate teams with no shared context
- ✕Changes go through tickets and approval chains
- ✕Insights sit in reports — never actioned
- ✕Weekly standups to sync what should be automatic
- ✕Human bandwidth is the bottleneck
- ✕Off on weekends, holidays, and sick days
Agent model
- One connected system with shared memory and context
- Changes happen in minutes via natural language
- Insights become actions automatically
- Agents trigger each other — no syncs needed
- Scales without headcount
- Always on — 24/7, 365
How It Works
Four steps to a live agent workforce.
Audit
We map your current setup — content gaps, SEO health, ad performance, and integration points.
Build
We configure and connect your three agents with your stack — CMS, Search Console, Meta, Google Ads.
Deploy
Agents go live. First actions happen within 48 hours. You see results — not proposals.
Evolve
Agents improve over time. Weekly reports show what they did, what it drove, and what they're doing next.
Not sure what it would cost?
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