LinkedIn Content Strategy & Writing Style
Building GoMarble || AI Agent for paid media marketers; built on your Meta Ads, Google Ads, Shopify, and GA4.
1 person tracking this creator on ViralBrain
Aditya positions himself as a practical builder of AI infrastructure for paid media, using GoMarble to connect Meta, Google, Shopify, GA4, and other marketing systems. His content centers on turning repetitive analysis into specialized AI agents that investigate performance drops, detect fatigue, audit attribution, research competitors, and convert findings into shoot-ready creative briefs. He stands out by grounding the AI narrative in operational detail and measurable time savings, from four-hour audits reduced to five minutes to six-hour workflows completed in six. His distinctive intersection is product education as live demonstration: workshops, Claude skills, and customer case studies make GoMarble’s capabilities tangible rather than theoretical.
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Excited to introduce GoMarble Creative Research — it’s like Perplexity for ad strategy: it researches competitor ads and gives you a swipe file, the winning patterns (hooks, angles, formats), and what…
I built an AI that grades my Google Ads campaigns every morning Here's the problem: Logging into Google Ads daily to check campaign health is time consuming. And by the time you spot an underperfor…
GOODBYE 4-hour Google Ads audits I just built ONE Claude workflow that audits an entire Google Ads account in 5 minutes Here's what it does: Account Health check ↳ Catches anything weird happening…
I built this Meta Ads dashboard on Claude in under 5 mins. No spreadsheets, no manual calculation errors, and no wasted hours pulling data. Drop in a Meta Account ID, and it generates an interactive…
10 minutes. That's all it takes to automate your weekly marketing reports forever. Here's the setup: → Drop in your GA4 property ID → Drop in your Google Ads customer ID → Drop in your Meta Ads acc…
This Meta Ad Tracker system is absolutely insane! It scrapes your competitors' video ads from the Facebook Ad Library... And runs AI analysis on each one automatically. Here’s the problem with doin…
0.0 posts/week
Posts / Week
4
Total Posts Analyzed
MEDIUM
Posting Frequency
41.8%
Avg Engagement Rate
STABLE
Performance Trend
1100
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
86/10
Uniqueness Score
NO
Question Usage
0%
Response Rate
Writing style breakdown
<start of post>
Most paid media teams don’t need another dashboard.
They need fewer hours spent pulling numbers, checking campaign changes, reviewing creative performance, researching competitors and turning all of that into decisions.
That’s where AI agents can help.
Not by replacing the person running the account.
By taking the recurring work off their plate.
→ Performance Analyst: checks Meta, Google and Shopify performance each morning, flags sudden spend shifts, and gives you one action to review before the day gets busy
→ Campaign Investigator: looks at campaigns where clicks and add-to-carts are healthy but purchases are falling, then traces the problem downstream before recommending a pause
→ Creative Analyst: ranks ads by spend, CTR, Hook Rate and conversion rate, then identifies which hooks, formats and angles are actually winning
→ Competitor Researcher: reviews the ads your competitors are running, tags the messaging and offers, and surfaces directions worth testing
→ Budget Planner: recommends where to move spend, which campaigns are underspending, and what could scale without waiting for someone to build another spreadsheet
→ Creative Strategist: turns account performance and competitor research into new hooks, concepts, scripts and shot lists
→ Reporting Analyst: prepares the weekly update with what changed, what needs attention, and what should happen next
The important part is not the number of agents.
It’s giving each one a clear job, the right data, and instructions for what to do when the answer is not obvious.
A campaign can have a high ROAS and still be the wrong place to put more budget.
A creative can have a strong CTR and still lose people before they reach the offer.
A lead campaign can look efficient until you check whether those leads ever become customers.
So the agent should not just report the metric.
It should understand the objective behind the metric.
Give it the recurring work. Review what comes back. Approve the changes you want to execute.
That’s time you can spend deciding what to test, how to position the offer, and where the account should go next.
what's wasting budget
which creative should we make more of
why did ROAS drop this week
what should we test next
No complicated dashboard. No four-hour manual audit.
Just the answers you need, ready when you need them.
<end of post>
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