AI Automation Agencies for 2025?

vlad_x said:
This is actual. What I have, for example now:

Custom Rank Tracking System with n8n.

Automated rank tracking system designed to monitor and analyze SEO performance across multiple websites.
The solution was developed to overcome the limitations imposed by commercial SaaS tools—namely, keyword caps and high subscription costs—while maintaining full control over data and scalability.

Architecture and Technologies Used

The system is built on n8n , an open-source workflow automation tool, and integrates with the following services:

Google Search Console API : For retrieving click, impression, CTR, and average position data.
BigQuery : For long-term storage and analysis of historical search data.
Firecrawl : For crawling and extracting page content for context-aware keyword monitoring.
Google Sheets : As an intermediate data aggregation layer.
HTML / CSS : For generating interactive, mobile-responsive reports.
Google Drive : For storing generated reports.
Email Notifications : To deliver summarized results directly to the user's inbox.

Functional Features
1. Daily Data Collection
A scheduled daily trigger (e.g., at sunrise).
Fetches fresh keyword ranking data from Google Search Console for all monitored domains.
Supports unlimited keywords and domains without vendor-imposed restrictions.

2. Performance Classification
Keywords are categorized based on their trend:
Up : Improved position
Steady : Stable position
Down : Declined position

3. Report Generation
Dynamic HTML report generation containing:
Summary metrics: total clicks, impressions, and CTR.
Trend visualization using line charts and pie charts.
Expandable accordion sections per keyword showing:
  • Target URL
  • Current position
  • Position change arrow
  • Clicks and impressions.
Fully responsive layout with dark mode support for improved readability.

4. Report Delivery.
Uploads the final HTML report to Google Drive.
Sends a direct link to the report via email upon completion—typically before morning coffee finishes brewing.

Key Advantages.
Unlimited Scalability : No restrictions on number of keywords or domains.
Cost Efficiency : Operational cost is approximately equivalent to one monthly latte.
High Flexibility : Easily migrate data backend from Google Sheets to PostgreSQL as requirements grow.
Vendor Independence : Eliminates reliance on paid SaaS platforms and their restrictive policies.
Accessing the Workflow: A complete package of the workflow, including versions for both Google Sheets and PostgreSQL , is available upon request.
View attachment 450014
Screenshot of small part of workflow.
Click to expand...
Hey man, can you guide on from where did you learn to build such complex workflows?
WIll appreciate the setup guides, or ideas to be implemented into workflows? A starting step that is..

I tried GPT Pro (but copying GPT made json workflows is not error free) and all other kinds of YouTube channels, and templates all over GitHub; however, majority of them are not use cases I believe are solid enough to attract clients. I was thinking of getting started with cold emailing and cold calling prospective clients, then convincing them to show demos for their service they want automated.
 
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You're not too late—AI automation is still a great opportunity. Starting an AI automation agency can work well in 2025, especially if you focus on real business pain points. Tools like Make, Zapier, and n8n are solid for no-code automations. Just make sure you deliver real value, not just hype. Start small, get a case study or two, and scale from there.
 
Definitely still viable in 2025 :cool: Tons of local biz owners want this but have zero clue where to start. Build smart, keep costs low, and automate the automation ;)
 
I’ve been exploring this space recently too, and one project we built is Groas.org that’s basically an AI driven ads and landing page automation tool that handles campaign setup and optimization with a pay for performance model. It’s a different angle than Zapier/make-type workflows because it’s focused on ad ROI rather than just task automation. We’re testing it as an agency style SaaS, and it’s been interesting seeing how AI handles scaling campaigns. If you’re thinking about starting an automation agency, tools like this either self built or white labeled seem like a solid entry point since they’re directly tied to revenue results.
 
MoonStarz said:
yeah is the AI hype and if you find that can be helpful go for it besides now you can make some coding using AI chatgpt or deepseek still there is a learning curve but is up to you and if you really need and want to go all in for the AI hype go for it but not just because is AI will work you also need to do some real work.
Click to expand...
Haha yeah the learning curve is what really kicks in but after you break in its like steady sailing with this ai stuff.
 
AI automation agencies can work, but the key is real-world use cases and clients who actually need automation. Tools are great, but solving actual problems is what sells.
 
ADSEO9900 said:
AI automation agencies can work, but the key is real-world use cases and clients who actually need automation. Tools are great, but solving actual problems is what sells.
Click to expand...
That's exactly what we had to think about when we made our automation agency. How could these ai agents actually be concretely useful to the clients. We figured that time was money so if automation could literally do things in seconds that would take days, that's a lot of problems solved.
 
vlad_x said:
This is actual. What I have, for example now:

Custom Rank Tracking System with n8n.

Automated rank tracking system designed to monitor and analyze SEO performance across multiple websites.
The solution was developed to overcome the limitations imposed by commercial SaaS tools—namely, keyword caps and high subscription costs—while maintaining full control over data and scalability.

Architecture and Technologies Used

The system is built on n8n , an open-source workflow automation tool, and integrates with the following services:

Google Search Console API : For retrieving click, impression, CTR, and average position data.
BigQuery : For long-term storage and analysis of historical search data.
Firecrawl : For crawling and extracting page content for context-aware keyword monitoring.
Google Sheets : As an intermediate data aggregation layer.
HTML / CSS : For generating interactive, mobile-responsive reports.
Google Drive : For storing generated reports.
Email Notifications : To deliver summarized results directly to the user's inbox.

Functional Features
1. Daily Data Collection
A scheduled daily trigger (e.g., at sunrise).
Fetches fresh keyword ranking data from Google Search Console for all monitored domains.
Supports unlimited keywords and domains without vendor-imposed restrictions.

2. Performance Classification
Keywords are categorized based on their trend:
Up : Improved position
Steady : Stable position
Down : Declined position

3. Report Generation
Dynamic HTML report generation containing:
Summary metrics: total clicks, impressions, and CTR.
Trend visualization using line charts and pie charts.
Expandable accordion sections per keyword showing:
  • Target URL
  • Current position
  • Position change arrow
  • Clicks and impressions.
Fully responsive layout with dark mode support for improved readability.

4. Report Delivery.
Uploads the final HTML report to Google Drive.
Sends a direct link to the report via email upon completion—typically before morning coffee finishes brewing.

Key Advantages.
Unlimited Scalability : No restrictions on number of keywords or domains.
Cost Efficiency : Operational cost is approximately equivalent to one monthly latte.
High Flexibility : Easily migrate data backend from Google Sheets to PostgreSQL as requirements grow.
Vendor Independence : Eliminates reliance on paid SaaS platforms and their restrictive policies.
Accessing the Workflow: A complete package of the workflow, including versions for both Google Sheets and PostgreSQL , is available upon request.
View attachment 450014
Screenshot of small part of workflow.
Click to expand...
This is interesting. How long did it take to complete the project?
 
Low startup cost, but success = cold outreach, proof of concept, and real value.
Liam’s stuff is decent. You don’t need the $2–4K course. Free + doing > enough to get started.
Start with one niche, solve one pain point, then scale.
 
billydore said:
hi everyone.

like a lot of people, ai has caught my attention for the past few months (a bit late i know)...

i just wanted to speak to some people that are in this industry at the moment.

most may be familiar with youtuber "liam ottley", i've watched all of his videos (literally) and he's got me sold on starting an ai automation agency.

i've always been skeptical on just about everyone on social media who is selling courses, but i feel like i cant miss this ai wave?

is anyone on here currently running one? have any experience building ai agents for automations? n8n, make, zapier etc.

and is this a viable business model for this year going forward? i think it ticks every box or me, especially if you don't have much money to being with.

would love to hear everyone opinions on this...

also if anyone has any resources they could share that would be great, ive taken liam ottley free course, it was good.
(not paying the 2-4k price tag ive seen rumoured for this paid one thats for sure)

thanks.
Click to expand...
AI automation companies will continue to play a major role in transforming industries in 2025. Using AI and RPA will not only help save costs but also boost productivity and efficiency. Companies like UiPath, Automation Anywhere, ServiceNow, and Google Cloud will be pioneers in helping businesses automate complex processes and grow rapidly in the coming years.
 
vlad_x said:
This is actual. What I have, for example now:

Custom Rank Tracking System with n8n.

Automated rank tracking system designed to monitor and analyze SEO performance across multiple websites.
The solution was developed to overcome the limitations imposed by commercial SaaS tools—namely, keyword caps and high subscription costs—while maintaining full control over data and scalability.

Architecture and Technologies Used

The system is built on n8n , an open-source workflow automation tool, and integrates with the following services:

Google Search Console API : For retrieving click, impression, CTR, and average position data.
BigQuery : For long-term storage and analysis of historical search data.
Firecrawl : For crawling and extracting page content for context-aware keyword monitoring.
Google Sheets : As an intermediate data aggregation layer.
HTML / CSS : For generating interactive, mobile-responsive reports.
Google Drive : For storing generated reports.
Email Notifications : To deliver summarized results directly to the user's inbox.

Functional Features
1. Daily Data Collection
A scheduled daily trigger (e.g., at sunrise).
Fetches fresh keyword ranking data from Google Search Console for all monitored domains.
Supports unlimited keywords and domains without vendor-imposed restrictions.

2. Performance Classification
Keywords are categorized based on their trend:
Up : Improved position
Steady : Stable position
Down : Declined position

3. Report Generation
Dynamic HTML report generation containing:
Summary metrics: total clicks, impressions, and CTR.
Trend visualization using line charts and pie charts.
Expandable accordion sections per keyword showing:
  • Target URL
  • Current position
  • Position change arrow
  • Clicks and impressions.
Fully responsive layout with dark mode support for improved readability.

4. Report Delivery.
Uploads the final HTML report to Google Drive.
Sends a direct link to the report via email upon completion—typically before morning coffee finishes brewing.

Key Advantages.
Unlimited Scalability : No restrictions on number of keywords or domains.
Cost Efficiency : Operational cost is approximately equivalent to one monthly latte.
High Flexibility : Easily migrate data backend from Google Sheets to PostgreSQL as requirements grow.
Vendor Independence : Eliminates reliance on paid SaaS platforms and their restrictive policies.
Accessing the Workflow: A complete package of the workflow, including versions for both Google Sheets and PostgreSQL , is available upon request.
View attachment 450014
Screenshot of small part of workflow.
Click to expand...
That's great work sample
 
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