u/automatexa2b

Nobody believes me when I say this took less than two weeks to build.

A business owner came to me drowning in manual ops work. His team was spending close to 20 hours every week on tasks that, on paper, "only took a few minutes each." Reporting. Follow-ups. Lead responses. All done by hand, all done inconsistently, all done late.

He'd tried hiring an extra person. Didn't fix it. The bottleneck wasn't headcount... it was the process.

So I mapped every repeating task his team touched in a week. Turned out 80% of the manual work was happening in three workflows. Lead response, internal reporting, and customer follow-ups after a sale. Three things. That's it.

I built automations for each one using n8n and connected them to the tools they already used. No new software to learn. No dashboards nobody would open. Just the same process... running itself.

Within 90 days he'd recovered $120K in operational costs and his team clawed back 20 hours a week. One of them told me she finally had time to actually do her job instead of just keeping up with it.

Here's the thing nobody talks about when they say "AI automation": the value isn't in the complexity. It's in the consistency. A simple workflow that runs every single time beats a sophisticated one that needs babysitting.

We go into small and mid-sized businesses, find the workflows that are silently eating time and money, and fix them with automation that actually gets used.

If you're curious what something like this could look like for your business, happy to chat. No pitch, just a conversation.

AI Audit? call
Some of my case studies: A2B

System Design SEO REPORTS

Someone showed me their monthly SEO reporting process and I couldn't let it go.

GA4 open, Search Console open, copy numbers into a doc, write a summary around them, format a PDF, send it out. Every month. Per client. Two to four hours of just moving numbers from one screen to another.

So I built a workflow to replace the whole thing.

Workflow

Here's how it's structured. An OAuth connection pulls traffic, clicks, impressions, top pages, and keyword data from both GA4 and Google Search Console. A pre-computation layer calculates period over period deltas, flags anomalies, and surfaces keyword movement opportunities... then packages everything into structured JSON so the LLM isn't just guessing, it's working from real numbers. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Finally it exports a white label PDF with custom branding applied.

Start to finish, under one minutes.

The part I spent the most time on was the pre-computation layer. Sending raw GA4 output straight to an LLM produces garbage. The structured JSON step is what keeps the report grounded and makes the narrative actually useful instead of generic.

Happy to walk through any of the nodes if you have questions, especially the data transformation step before the LLM call.

Github link: n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

System Design SEO REPORTS

Someone showed me their monthly SEO reporting process and I couldn't let it go.

GA4 open, Search Console open, copy numbers into a doc, write a summary around them, format a PDF, send it out. Every month. Per client. Two to four hours of just moving numbers from one screen to another.

So I built a workflow to replace the whole thing.

Workflow

Here's how it's structured. An OAuth connection pulls traffic, clicks, impressions, top pages, and keyword data from both GA4 and Google Search Console. A pre-computation layer calculates period over period deltas, flags anomalies, and surfaces keyword movement opportunities... then packages everything into structured JSON so the LLM isn't just guessing, it's working from real numbers. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Finally it exports a white label PDF with custom branding applied.

Start to finish, under three minutes.

The part I spent the most time on was the pre-computation layer. Sending raw GA4 output straight to an LLM produces garbage. The structured JSON step is what keeps the report grounded and makes the narrative actually useful instead of generic.

Happy to walk through any of the nodes if you have questions, especially the data transformation step before the LLM call.

Github link: n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

System Design SEO REPORTS

Someone showed me their monthly SEO reporting process and I couldn't let it go.

GA4 open, Search Console open, copy numbers into a doc, write a summary around them, format a PDF, send it out. Every month. Per client. Two to four hours of just moving numbers from one screen to another.

So I built a workflow to replace the whole thing.

Worklfow

Here's how it's structured. An OAuth connection pulls traffic, clicks, impressions, top pages, and keyword data from both GA4 and Google Search Console. A pre-computation layer calculates period over period deltas, flags anomalies, and surfaces keyword movement opportunities... then packages everything into structured JSON so the LLM isn't just guessing, it's working from real numbers. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Finally it exports a white label PDF with custom branding applied.

Start to finish, under three minutes.

The part I spent the most time on was the pre-computation layer. Sending raw GA4 output straight to an LLM produces garbage. The structured JSON step is what keeps the report grounded and makes the narrative actually useful instead of generic.

Happy to walk through any of the nodes if you have questions, especially the data transformation step before the LLM call.

Github link: n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

System Design SEO REPORTS

Someone showed me their monthly SEO reporting process and I couldn't let it go.

GA4 open, Search Console open, copy numbers into a doc, write a summary around them, format a PDF, send it out. Every month. Per client. Two to four hours of just moving numbers from one screen to another.

So I built a workflow to replace the whole thing.

https://preview.redd.it/tci9hxmj2u1h1.png?width=1314&format=png&auto=webp&s=9e8b624940764c4b63387be61839ce6df19a41ac

Here's how it's structured. An OAuth connection pulls traffic, clicks, impressions, top pages, and keyword data from both GA4 and Google Search Console. A pre-computation layer calculates period over period deltas, flags anomalies, and surfaces keyword movement opportunities... then packages everything into structured JSON so the LLM isn't just guessing, it's working from real numbers. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Finally it exports a white label PDF with custom branding applied.

Start to finish, under three minutes.

The part I spent the most time on was the pre-computation layer. Sending raw GA4 output straight to an LLM produces garbage. The structured JSON step is what keeps the report grounded and makes the narrative actually useful instead of generic.

Happy to walk through any of the nodes if you have questions, especially the data transformation step before the LLM call.

Github link: n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

System Design SEO Report

Someone showed me their monthly SEO reporting process and I couldn't let it go.

GA4 open, Search Console open, copy numbers into a doc, write a summary around them, format a PDF, send it out. Every month. Per client. Two to four hours of just moving numbers from one screen to another.

So I built a workflow to replace the whole thing.

Workflow

Here's how it's structured. An OAuth connection pulls traffic, clicks, impressions, top pages, and keyword data from both GA4 and Google Search Console. A pre-computation layer calculates period over period deltas, flags anomalies, and surfaces keyword movement opportunities... then packages everything into structured JSON so the LLM isn't just guessing, it's working from real numbers. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Finally it exports a white label PDF with custom branding applied.

Start to finish, under three minutes.

The part I spent the most time on was the pre-computation layer. Sending raw GA4 output straight to an LLM produces garbage. The structured JSON step is what keeps the report grounded and makes the narrative actually useful instead of generic.

Happy to walk through any of the nodes if you have questions, especially the data transformation step before the LLM call.

Github link: n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

System Design SEO REPORT

Someone showed me their monthly SEO reporting process and I couldn't let it go.

GA4 open, Search Console open, copy numbers into a doc, write a summary around them, format a PDF, send it out. Every month. Per client. Two to four hours of just moving numbers from one screen to another.

So I built a workflow to replace the whole thing.

https://preview.redd.it/s8ducodgej1h1.png?width=1314&format=png&auto=webp&s=93b73c84c03aca52685d49d65325068fa8d12ae1

Here's how it's structured. An OAuth connection pulls traffic, clicks, impressions, top pages, and keyword data from both GA4 and Google Search Console. A pre-computation layer calculates period over period deltas, flags anomalies, and surfaces keyword movement opportunities... then packages everything into structured JSON so the LLM isn't just guessing, it's working from real numbers. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Finally it exports a white label PDF with custom branding applied.

Start to finish, under three minutes.

The part I spent the most time on was the pre-computation layer. Sending raw GA4 output straight to an LLM produces garbage. The structured JSON step is what keeps the report grounded and makes the narrative actually useful instead of generic.

Happy to walk through any of the nodes if you have questions, especially the data transformation step before the LLM call.

Github link: n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

https://preview.redd.it/ag9m5awj190h1.jpg?width=963&format=pjpg&auto=webp&s=3baf71050ae60c2a4e18d1487b1103b6266e133c

Was reading Talk Like TED this morning and came across a story I haven't been able to stop thinking about.

Dr. Ernesto Sirolli. 21 years old. Flies to Zambia with an Italian NGO, full of good intentions, ready to teach local farmers how to grow tomatoes. Everything grows beautifully. Magnificent tomatoes. He's practically patting himself on the back.

Then one night... 200 hippos walk out of the river and eat every single thing.

He turns to the Zambians in shock. They say, "Yes, that's why we have no agriculture here."

He says, "Why didn't you tell us?"

They say, "You never asked."

That line sat with me for a long time.

Because here's the thing... every single project that NGO ran in Africa failed. Not because they lacked resources or expertise. Because they walked in already holding the answer. They were so busy being helpful that they forgot to ask what was actually needed.

Sirolli spent the rest of his career flipping that model completely. His whole framework became: don't show up with solutions. Show up with curiosity. Shut up. Listen. Let the person in front of you tell you what they actually need. Then help them get it.

I think about this more than I'd like to admit when it comes to my own work.

A few months ago I was talking to someone running an SEO agency. He was spending 2 to 4 hours per client every single month just moving numbers from GA4 and Search Console into a PDF. Not strategy. Not fixing anything. Just formatting data and making it look presentable.

My first instinct was to immediately tell him what to build. I had ideas. I was already mapping the workflow in my head.

Then I remembered the hippos.

So instead I just asked him to walk me through what he actually does, step by step, month by month. By the end of that conversation I understood the problem in a way I never would have if I'd jumped in with answers. He'd already started building something in n8n. I helped him finish it. Runs in under three minutes now.

That eventually turned into a product. But it only exists because I kept my mouth shut long enough to actually understand what was broken.

The Sirolli story is from the 1970s. But it's the most relevant thing I've read about building products, helping clients, or working with anyone, in a long time.

We is more powerful than I. But only if you listen first.

Was reading Talk Like TED this morning and came across a story I haven't been able to stop thinking about.

Dr. Ernesto Sirolli. 21 years old. Flies to Zambia with an Italian NGO, full of good intentions, ready to teach local farmers how to grow tomatoes. Everything grows beautifully. Magnificent tomatoes. He's practically patting himself on the back.

Then one night... 200 hippos walk out of the river and eat every single thing.

He turns to the Zambians in shock. They say, "Yes, that's why we have no agriculture here."

He says, "Why didn't you tell us?"

They say, "You never asked."

That line sat with me for a long time.

Because here's the thing... every single project that NGO ran in Africa failed. Not because they lacked resources or expertise. Because they walked in already holding the answer. They were so busy being helpful that they forgot to ask what was actually needed.

Sirolli spent the rest of his career flipping that model completely. His whole framework became: don't show up with solutions. Show up with curiosity. Shut up. Listen. Let the person in front of you tell you what they actually need. Then help them get it.

I think about this more than I'd like to admit when it comes to my own work.

A few months ago I was talking to someone running an SEO agency. He was spending 2 to 4 hours per client every single month just moving numbers from GA4 and Search Console into a PDF. Not strategy. Not fixing anything. Just formatting data and making it look presentable.

My first instinct was to immediately tell him what to build. I had ideas. I was already mapping the workflow in my head.

Then I remembered the hippos.

So instead I just asked him to walk me through what he actually does, step by step, month by month. By the end of that conversation I understood the problem in a way I never would have if I'd jumped in with answers. He'd already started building something in n8n. I helped him finish it. Runs in under three minutes now.

That eventually turned into a product. But it only exists because I kept my mouth shut long enough to actually understand what was broken.

The Sirolli story is from the 1970s. But it's the most relevant thing I've read about building products, helping clients, or working with anyone, in a long time.

We is more powerful than I. But only if you listen first.

I want to be honest about something. When I first saw what my client was doing every month, I didn't think it was a big deal.

He was manually pulling GA4 data, cross referencing it with Search Console, copying numbers into a doc, writing a summary, formatting a PDF, and sending it to each of his SEO clients. Two to four hours per client, per month. Not strategy, not fixing anything, just moving numbers from one place to another and making them look presentable.

He'd already started building something in n8n to fix it. I jumped in and helped him finish it.

Here's what we ended up with. OAuth connection to GA4 and Google Search Console pulls traffic, clicks, impressions, top pages, and keyword movements. A pre-computation layer calculates period over period deltas, anomalies, and keyword opportunities and packages everything into structured JSON. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Then it exports a fully branded white label PDF with the agency's logo and colors. The whole thing runs in under three minutes.

First time he ran it he just stared at the screen. Then said "that's it?"

That's it.

I posted the workflow here just to share it in my socials. Two people DMed me asking if I could build it for them they could actually use with their clients. That's when I realised this wasn't just one guy's problem. Every SEO agency I talked to after that was living the same monthly ritual and had just accepted it as the cost of doing business.

So I spent the my previous week turning it into a proper product. It's called ZTRIKE. Same pipeline, but you can talk to ai and analyse and get insights, scheduled reports, white label branding.

Happy to walk through the full node structure in the comments if anyone wants to see how it's built. And if you're running an SEO agency and still doing this manually, the link is in the comments.

I want to be honest about something. When I first saw what my client was doing every month, I didn't think it was a big deal.

He was manually pulling GA4 data, cross referencing it with Search Console, copying numbers into a doc, writing a summary, formatting a PDF, and sending it to each of his SEO clients. Two to four hours per client, per month. Not strategy, not fixing anything, just moving numbers from one place to another and making them look presentable.

He'd already started building something in n8n to fix it. I jumped in and helped him finish it.

Here's what we ended up with. OAuth connection to GA4 and Google Search Console pulls traffic, clicks, impressions, top pages, and keyword movements. A pre-computation layer calculates period over period deltas, anomalies, and keyword opportunities and packages everything into structured JSON. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Then it exports a fully branded white label PDF with the agency's logo and colors. The whole thing runs in under three minutes.

First time he ran it he just stared at the screen. Then said "that's it?"

That's it.

I posted the workflow here just to share it in my socials. Two people DMed me asking if I could build it for them they could actually use with their clients. That's when I realised this wasn't just one guy's problem. Every SEO agency I talked to after that was living the same monthly ritual and had just accepted it as the cost of doing business.

So I spent the my previous week turning it into a proper product. It's called ZTRIKE. Same pipeline, but you can talk to ai and analyse and get insights, scheduled reports, white label branding.

Happy to walk through the full node structure in the comments if anyone wants to see how it's built. And if you're running an SEO agency and still doing this manually, the link is in the comments.

Automted SEO Reports

I want to be honest about something. When I first saw what my client was doing every month, I didn't think it was a big deal.

He was manually pulling GA4 data, cross referencing it with Search Console, copying numbers into a doc, writing a summary, formatting a PDF, and sending it to each of his SEO clients. Two to four hours per client, per month. Not strategy, not fixing anything, just moving numbers from one place to another and making them look presentable.

He'd already started building something in n8n to fix it. I jumped in and helped him finish it.

Here's what we ended up with. OAuth connection to GA4 and Google Search Console pulls traffic, clicks, impressions, top pages, and keyword movements. A pre-computation layer calculates period over period deltas, anomalies, and keyword opportunities and packages everything into structured JSON. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Then it exports a fully branded white label PDF with the agency's logo and colors. The whole thing runs in under three minutes.

First time he ran it he just stared at the screen. Then said "that's it?"

That's it.

I posted the workflow here just to share it in my socials. Two people DMed me asking if I could build it for them they could actually use with their clients. That's when I realised this wasn't just one guy's problem. Every SEO agency I talked to after that was living the same monthly ritual and had just accepted it as the cost of doing business.

So I spent the my previous week turning it into a proper product. It's called ZTRIKE. Same pipeline, but you can talk to ai and analyse and get insights, scheduled reports, white label branding. Free for the first 100 signups.

GitHub Link : n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

Try out : Ztrike

Happy to walk through the full node structure in the comments if anyone wants to see how it's built. And if you're running an SEO agency and still doing this manually, the link is in the comments.

Automted SEO Reports

I want to be honest about something. When I first saw what my client was doing every month, I didn't think it was a big deal.

He was manually pulling GA4 data, cross referencing it with Search Console, copying numbers into a doc, writing a summary, formatting a PDF, and sending it to each of his SEO clients. Two to four hours per client, per month. Not strategy, not fixing anything, just moving numbers from one place to another and making them look presentable.

He'd already started building something in n8n to fix it. I jumped in and helped him finish it.

Here's what we ended up with. OAuth connection to GA4 and Google Search Console pulls traffic, clicks, impressions, top pages, and keyword movements. A pre-computation layer calculates period over period deltas, anomalies, and keyword opportunities and packages everything into structured JSON. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Then it exports a fully branded white label PDF with the agency's logo and colors. The whole thing runs in under three minutes.

First time he ran it he just stared at the screen. Then said "that's it?"

That's it.

I posted the workflow here just to share it in my socials. Two people DMed me asking if I could build it for them they could actually use with their clients. That's when I realised this wasn't just one guy's problem. Every SEO agency I talked to after that was living the same monthly ritual and had just accepted it as the cost of doing business.

So I spent the my previous week turning it into a proper product. It's called ZTRIKE. Same pipeline, but you can talk to ai and analyse and get insights, scheduled reports, white label branding. Free for the first 100 signups.

GitHub Link : n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

Try out : Ztrike

Happy to walk through the full node structure in the comments if anyone wants to see how it's built. And if you're running an SEO agency and still doing this manually, the link is in the comments.

Automted SEO Reports

I want to be honest about something. When I first saw what my client was doing every month, I didn't think it was a big deal.

He was manually pulling GA4 data, cross referencing it with Search Console, copying numbers into a doc, writing a summary, formatting a PDF, and sending it to each of his SEO clients. Two to four hours per client, per month. Not strategy, not fixing anything, just moving numbers from one place to another and making them look presentable.

He'd already started building something in n8n to fix it. I jumped in and helped him finish it.

Here's what we ended up with. OAuth connection to GA4 and Google Search Console pulls traffic, clicks, impressions, top pages, and keyword movements. A pre-computation layer calculates period over period deltas, anomalies, and keyword opportunities and packages everything into structured JSON. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Then it exports a fully branded white label PDF with the agency's logo and colors. The whole thing runs in under three minutes.

First time he ran it he just stared at the screen. Then said "that's it?"

That's it.

I posted the workflow here just to share it in my socials. Two people DMed me asking if I could build it for them they could actually use with their clients. That's when I realised this wasn't just one guy's problem. Every SEO agency I talked to after that was living the same monthly ritual and had just accepted it as the cost of doing business.

So I spent the my previous week turning it into a proper product. It's called ZTRIKE. Same pipeline, but you can talk to ai and analyse and get insights, scheduled reports, white label branding.

Happy to walk through the full node structure in the comments if anyone wants to see how it's built. And if you're running an SEO agency and still doing this manually, the link is in the comments.

Automted SEO Reports

I want to be honest about something. When I first saw what my client was doing every month, I didn't think it was a big deal.

He was manually pulling GA4 data, cross referencing it with Search Console, copying numbers into a doc, writing a summary, formatting a PDF, and sending it to each of his SEO clients. Two to four hours per client, per month. Not strategy, not fixing anything, just moving numbers from one place to another and making them look presentable.

He'd already started building something in n8n to fix it. I jumped in and helped him finish it.

Here's what we ended up with. OAuth connection to GA4 and Google Search Console pulls traffic, clicks, impressions, top pages, and keyword movements. A pre-computation layer calculates period over period deltas, anomalies, and keyword opportunities and packages everything into structured JSON. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Then it exports a fully branded white label PDF with the agency's logo and colors. The whole thing runs in under three minutes.

First time he ran it he just stared at the screen. Then said "that's it?"

That's it.

I posted the workflow here just to share it in my socials. Two people DMed me asking if I could build it for them they could actually use with their clients. That's when I realised this wasn't just one guy's problem. Every SEO agency I talked to after that was living the same monthly ritual and had just accepted it as the cost of doing business.

So I spent the my previous week turning it into a proper product. It's called ZTRIKE. Same pipeline, but you can talk to ai and analyse and get insights, scheduled reports, white label branding.

GitHub Link : n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

Happy to walk through the full node structure in the comments if anyone wants to see how it's built. And if you're running an SEO agency and still doing this manually, the link is in the comments.

Three months ago I was watching an SEO client go through his monthly routine.

Open GA4. Open Search Console. Copy numbers into a doc. Write a summary. Format a PDF. Send it. Then do the same thing for every other client.

2 to 4 hours per client, per month. Not on strategy. Not on fixing anything. Just reformatting data that already existed into a document the client reads for 90 seconds.

He wasn't even complaining. He'd just accepted it as the tax you pay for running an agency.

He was already trying to build something in n8n to fix it. I jumped in and helped him finish it. We connected GA4 and Search Console, built a pipeline that pulls the data, runs it through AI, writes a narrative summary, and exports a fully branded white label PDF.

Under 3 minutes. Zero manual work.

I shared the workflow on Reddit just to share it. Two people DMed me asking if I could build it as a proper tool.

So I did. It's called ZTRIKE.

Connects to your clients' GA4 and Search Console, runs a 4 stage AI pipeline, generates a complete written report with your agency's branding... ready to send the moment it's done. No ZTRIKE logo anywhere on it.

First 100 signups get full access free, no credit card.

Honestly I'm still validating this. If you run a digital agency and you're doing this manually, I'd love for you to try it and tell me what's broken. What the report gets wrong. What would make you actually use it every month.

Three months ago I was watching an SEO client go through his monthly routine.

Open GA4. Open Search Console. Copy numbers into a doc. Write a summary. Format a PDF. Send it. Then do the same thing for every other client.

2 to 4 hours per client, per month. Not on strategy. Not on fixing anything. Just reformatting data that already existed into a document the client reads for 90 seconds.

He wasn't even complaining. He'd just accepted it as the tax you pay for running an agency.

He was already trying to build something in n8n to fix it. I jumped in and helped him finish it. We connected GA4 and Search Console, built a pipeline that pulls the data, runs it through AI, writes a narrative summary, and exports a fully branded white label PDF.

Under 3 minutes. Zero manual work.

I shared the workflow on Reddit just to share it. Two people DMed me asking if I could build it as a proper tool.

So I did. It's called ZTRIKE.

Connects to your clients' GA4 and Search Console, runs a 4 stage AI pipeline, generates a complete written report with your agency's branding... ready to send the moment it's done. No ZTRIKE logo anywhere on it.

First 100 signups get full access free, no credit card.

Honestly I'm still validating this. If you run a digital agency and you're doing this manually, I'd love for you to try it and tell me what's broken. What the report gets wrong. What would make you actually use it every month.

Three months ago I was watching an SEO client go through his monthly routine.

Open GA4. Open Search Console. Copy numbers into a doc. Write a summary. Format a PDF. Send it. Then do the same thing for every other client.

2 to 4 hours per client, per month. Not on strategy. Not on fixing anything. Just reformatting data that already existed into a document the client reads for 90 seconds.

He wasn't even complaining. He'd just accepted it as the tax you pay for running an agency.

He was already trying to build something in n8n to fix it. I jumped in and helped him finish it. We connected GA4 and Search Console, built a pipeline that pulls the data, runs it through AI, writes a narrative summary, and exports a fully branded white label PDF.

Under 3 minutes. Zero manual work.

I shared the workflow on Reddit just to share it. Two people DMed me asking if I could build it as a proper tool.

So I did. It's called ZTRIKE.

Connects to your clients' GA4 and Search Console, runs a 4 stage AI pipeline, generates a complete written report with your agency's branding... ready to send the moment it's done. No ZTRIKE logo anywhere on it.

First 100 signups get full access free, no credit card.

Honestly I'm still validating this. If you run a digital agency and you're doing this manually, I'd love for you to try it and tell me what's broken. What the report gets wrong. What would make you actually use it every month.

Try now: Ztrike

Three months ago I was watching an SEO client go through his monthly routine.

Open GA4. Open Search Console. Copy numbers into a doc. Write a summary. Format a PDF. Send it. Then do the same thing for every other client.

2 to 4 hours per client, per month. Not on strategy. Not on fixing anything. Just reformatting data that already existed into a document the client reads for 90 seconds.

He wasn't even complaining. He'd just accepted it as the tax you pay for running an agency.

He was already trying to build something in n8n to fix it. I jumped in and helped him finish it. We connected GA4 and Search Console, built a pipeline that pulls the data, runs it through AI, writes a narrative summary, and exports a fully branded white label PDF.

Under 3 minutes. Zero manual work.

I shared the workflow on Reddit just to share it. Two people DMed me asking if I could build it as a proper tool.

So I did. It's called ZTRIKE.

Connects to your clients' GA4 and Search Console, runs a 4 stage AI pipeline, generates a complete written report with your agency's branding... ready to send the moment it's done. No ZTRIKE logo anywhere on it.

First 100 signups get full access free.

Honestly I'm still validating this. If you run a digital agency and you're doing this manually, I'd love for you to try it and tell me what's broken. What the report gets wrong. What would make you actually use it every month.

Try now: Ztrike

A few months ago I was at a friend's place watching him do his monthly reporting for his agency clients.

He'd open a dashboard, read a number, type it into a doc, write a sentence about it, move to the next one. For every client. Every month. 2 to 4 hours each time.

The worst part, he wasn't complaining. He'd fully accepted it as just part of the job.

We spent a weekend automating it. Fully. What took hours now runs in minutes with zero manual input.

But here's what stuck with me: he never questioned it until someone else pointed it out.

It made me wonder how many people are doing their own version of this, some repetitive task they've just normalised because they've always done it that way.

Have you ever caught yourself (or someone else) doing something manually that turned out to be easily automatable? What was it?