Spy on rival ads.
Pay less per click.
I give the bot a keyword and a list of locations. It teleports into each one, checks who is already advertising there, and flags the empty spots. I run my ads where nobody competes, so my cost per click stays low and my results go up.
The keyword that costs a fortune in one city can be free in another.
Google shows different ads in different places. The same keyword can be a bidding war in one city and a ghost town in the next. For years I fought for crowded keywords and paid the high price everyone else paid. Then I built a bot that checks each location for me. It teleports in, sees who is advertising, and flags the empty spots. I run my ads only there, and my cost per click drops. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who the Google ads competitors tracker is for
Anyone who runs Google Ads and wants to pay less per click. Small business owners, affiliates, course sellers, and agencies who run search campaigns. Especially useful if you keep losing the same bidding war on a keyword everyone wants. If you pay for clicks, this finds the places where you stop fighting for them.
What goes wrong without the Google ads competitors tracker
Most people pick a keyword and bid against everyone else on the planet. The price climbs because ten advertisers want the same spot. Checking every city by hand is slow, so nobody does it. You end up paying the crowded price for a keyword that was cheap two cities over. Fighting for the obvious spots is what keeps your cost per click high.
How the Google ads competitors tracker automation works
You give the bot a keyword and a list of locations. It teleports into each one like a VPN, runs a search as if it were sitting there, and checks who is advertising. Empty spot gets a green flag. A rival on a different product gets orange. Real competition gets red. One keyword in, a map of every city and its flag out.
What the Google ads competitors tracker gives back each month
A list of green spots where nobody competes for your keyword. You run your ads there and set a low cost per click, because there is no bidding war. Roughly half the cost for the same keyword, found automatically. Cheaper clicks and a clearer field, on a keyword that was a fortune in the crowded city.
I kept fighting for keywords everyone else was fighting for.
For a long time my Google Ads cost more than they should have, and I knew why. I would pick a keyword, usually the name of a product I wanted to promote, and bid on it. So did everyone else in my segment. The more of us wanted that spot, the higher the price climbed. I was in a permanent auction against people I would never meet, all of us paying more to win the same click.
What I did not see at first is that Google does not run one auction. It runs a different one in every location. A keyword that is a brawl in a big city can be completely empty in a smaller one. The ads a person sees depend on where they are searching from. So the price of a click is not fixed. It changes from place to place, and I was only ever looking at the crowded version of it.
So I built a bot that checks each location for me. I give it a keyword and a list of places, and it teleports into each one like a VPN. It runs a search as if it were physically sitting in that city, and it sees the real ads a local would see. If somebody is running ads on my keyword, it knows. If the spot is empty, it knows that too. It works through the whole list on its own while I get on with other things.
The result is a simple traffic light per city. Green means nobody is advertising on my keyword there, so I control the cost per click. Orange means someone is there, but on a different product, so there is still some competition. Red means real competition on the exact thing I want to promote. I only ever act on the green ones, because that is where there is no bidding war to drag the price up.
The numbers here are honest and modest per keyword. By focusing only on the green spots, I cut my cost by roughly half on the keywords I ran this way, and got better results because I was the only advertiser there. Some keywords are crowded everywhere, and the bot just tells me to skip them. But the open ones it finds are a blue ocean. Proof point: I document my income streams openly on YouTube, in my 28 Income Streams breakdown and my road to 10 million video, so the shape of this is checkable, not a guess.
Three moves that turn one keyword into a map of low-cost ad spots
What made this work was refusing to accept the crowded price as the only price. The same keyword has many prices, one per location, and most people only ever see the expensive one. The framework hangs on three moves: teleport into each location, read who is already advertising there, and flag the empty spots so I run my ads only where the click is cheap.
Teleport into each location
The bot projects itself into the location I pick, exactly like a VPN. It runs a search as if it were physically there, so it sees the real ads a local would see for my keyword. This matters because Google shows different ads in different places. The same keyword can be packed in one city and bare in the next. By checking from inside each location, the bot sees the truth on the ground instead of guessing from where I happen to be sitting.
Read who is already advertising
Inside each location, the bot looks at the ads on my keyword. It checks whether anyone is running ads at all, and if they are, whether it is for my product or a different one. This is the exact research that decides the price. A spot full of advertisers means a bidding war and a high cost per click. A spot with nobody means I name my own price. The bot does this read for every location on my list without ever getting tired or skipping one.
Flag the empty spots green
Every location ends up with a simple flag. Green means nobody is advertising on my keyword, so it is a clear road. Orange means someone is there on a different product, so watch it. Red means real competition on my exact product, so leave it alone. I run my ads only in the green spots, where there is no auction pulling the price up. That is the whole trick: advertise where nobody else is, and the cost per click stays at the floor.
Once those three moves are in place, every keyword I care about turns into a map of cheap and expensive cities, and I simply pour my budget into the cheap ones. Teleport, read, flag, run.
Before the tracker
- I bid on a keyword against everyone else in my segment
- The price climbed because ten advertisers wanted the same spot
- I only ever saw the crowded version of a keyword’s price
- Checking other cities by hand was too slow to bother with
- I paid the high cost per click and called it the cost of business
After the tracker
- One keyword and a city list checked automatically in the background
- Each location flagged green, orange, or red by who is advertising
- I run ads only in green spots with no bidding war
- Cost per click roughly halved on the keywords I run this way
- Better results too, because my ad is the only one a searcher sees
Prompt 1: check one location for rival ads on my keyword
The first job is reading one city honestly. Use this prompt to have the bot run a search from inside a location and report who, if anyone, is advertising on your keyword there.
Location ad checker
You are a Google Ads competition checker. I will give you one keyword and one location. Imagine you are running a search from inside that exact location, the way a VPN would place you there. Keyword: [paste the keyword, usually a product name]. Location: [paste the city and country]. Do the following in order. First, describe the paid ads that would show at the top of the search results for this keyword in this location. Second, for each ad, say whether it is promoting the same product as my keyword, or a different product. Third, count how many advertisers are competing on my exact product. Return three things only: the number of advertisers on my exact product, a one-line note on any advertisers on different products, and a single word verdict of GREEN, ORANGE, or RED. GREEN means nobody is advertising on my keyword. ORANGE means ads exist but for different products. RED means real competition on my product.
This is the check I used to run by hand, one city at a time. The single-word verdict is what lets the bot sort a long list of locations into go and no-go without me reading every result.
Prompt 2: estimate the cost per click in an empty spot
Once a location is flagged green, the next question is how cheap the click really is. Use this prompt to turn an empty spot into a rough cost estimate so you know what you are walking into.
Cost estimator
You are estimating the likely cost per click for a Google Ads keyword in a specific location with little or no competition. Keyword: [paste the keyword]. Location: [paste the city and country]. Competition found: [paste GREEN, ORANGE, or RED and the advertiser count from Prompt 1]. Return these fields, each on its own line, in plain words. Likely cost per click range, low to high, in local terms. Why it is cheap or expensive, in one line, based on the competition count. Search demand, your best read of whether enough people search this here to be worth it. If a field cannot be judged from what I gave you, write not enough information rather than guessing a number. End with a one-line verdict on whether this location is worth running ads in, based only on low competition and reasonable demand.
This is the read that used to be pure gut feel. The not enough information rule keeps the estimate honest, so I never pour budget into a spot on a number the bot invented.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to learn the mechanics behind automations like this?
I teach the same mechanics that make this competitor tracker work inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and cut the cost of clicks they used to overpay for. No coding required.
Week one: one keyword, one map, one cheap spot you would have missed.
Most people expect a system like this to feel dramatic on day one. It does not, and that is the point. There is no flood of cheap clicks in the first week. The first week is about proving the loop works. You give the bot a keyword and a few cities, and a map of green and red spots comes back. That quiet first map is the whole thing working.
Week one looks like this. You pick a keyword you have always overpaid for. You hand the bot ten locations. It teleports into each one, checks the ads, and comes back with three greens, four oranges, and three reds. You point your campaign at the three green cities and set a low cost per click. The same keyword you used to fight for is now cheap, simply because you moved to where nobody else is bidding.
The point of the first week is not a huge saving. The point is to prove the loop closes: you hand over a keyword and a city list, the bot teleports and reads each one, and a clean map of green and red comes back so you run your ads only where the click is cheap.
From there the maths is simple and quiet. A keyword that cost a lot in the crowded city costs roughly half as much in a green spot, for the same searcher intent. That saving repeats on every click, every day the campaign runs. It does not arrive as a spike. It compounds, because a campaign that pays half price for months keeps the difference month after month. A year of that adds up to real money kept instead of spent.
All of this runs while you build, travel, or rest. The bot does not care what time it is. You hand it a keyword and a list when you have one, and the checking happens somewhere else. The only thing you ever do is choose the keyword and the cities.
Prompt 3: sort a whole city list into go and no-go
Checking one city is useful. Sorting a list of twenty is where the time is saved. Use this prompt to turn a batch of location results into one clean ranked map you can act on.
City list sorter
You are sorting a list of locations by how good each one is for running Google Ads on my keyword. Keep it scannable. No fluff. Keyword: [paste]. Location results: [paste the list of cities with their GREEN, ORANGE, or RED verdict and advertiser count from Prompt 1]. Group the locations into three sections. First GO, listing every GREEN city, best first, with a one-line reason. Then WATCH, listing every ORANGE city with a one-line note on the different-product ads found. Then SKIP, listing every RED city with the advertiser count. Inside the GO group, rank cities so the emptiest spot is at the top. End with a single instruction line telling me which cities to point the campaign at first. The whole thing should be readable in under thirty seconds.
This is the map that decides where my budget goes. The thirty-second rule is deliberate, because a report I have to study is one I will put off and never use.
Prompt 4: tell me clearly when a keyword is crowded everywhere
A clean no is as useful as a yes. Use this prompt so the bot tells you honestly when a keyword has no open spots anywhere on your list, instead of stretching to call a busy city green.
No-open-spot notifier
You are telling me directly that a keyword I checked has no open advertising spots anywhere on the location list I gave you. Keep it to two short lines so I can read it at a glance. Keyword: [paste]. What was checked: [paste a one-line note of how many cities were checked and that all came back ORANGE or RED]. Write line one as a clear statement that there is no green spot for this keyword across the locations checked. Write line two as a short note of how many cities were checked and that every one had competition, so I trust the answer. Do not suggest unrelated keywords unless I asked. The point is to let this keyword go without me second-guessing it.
This keeps me from forcing a campaign into a crowded keyword just because I want it to work. I asked once, I got a clean no, and I move my budget to a keyword that actually has room.
How to build the Google ads competitors tracker, step by step
Give the bot a keyword and a city list
The whole job starts with two inputs, so make giving them dead simple. Set up a single place where you drop a keyword, usually the name of a product you want to promote, and a list of locations you care about. It can be a form, a chat message, or a row in a sheet. The bot reads the keyword and works through the cities one by one. Keep the location list focused on places that actually matter to you, because every city you add is one more check the bot runs before it reports back.
Teleport into each location like a VPN
This is the core trick. The bot projects itself into each location on the list, the same way a VPN places you somewhere else. It runs a search as if it were physically sitting in that city. Wire this into a cloud automation in n8n, Make, or Zapier that loops through the city list and sets the location for each search. Google shows different ads in different places, so this step is what lets the bot see the real local picture instead of the one from wherever your server happens to live.
Read the ads on your keyword in that city
Inside each location, the bot looks at the paid ads on your keyword. Use the location ad checker prompt to drive this. It checks whether anyone is advertising at all, and whether the ads are for your product or a different one. It counts how many advertisers compete on your exact product. The output is a clear read of the local field: empty, busy with unrelated ads, or full of direct rivals. This read is the thing that decides whether the click here will be cheap or expensive.
Flag every city green, orange, or red
Now the bot turns each read into a single flag. Green means nobody is advertising on your keyword in that city. Orange means ads exist, but for a different product than yours. Red means real competition on your exact product. This traffic light is the part you actually act on. You do not need to remember who was advertising where. You just look at the colour and know instantly whether a city is a clear road or a bidding war. Every location on your list ends up with one clear flag.
Run your ads only in the green spots
This is where the saving happens. You take the green cities and point your Google Ads campaign at them, setting the cost per click you want. Because nobody else is bidding on your keyword there, the price stays at the floor instead of climbing. You ignore the red cities entirely, since fighting for a crowded keyword is exactly what you built this to avoid. The orange ones you can watch, but the money goes into the greens. Same keyword, same buyers, a fraction of the cost.
Keep a running list of every keyword and city checked
The last step quietly logs every result to a simple sheet. Keyword, city, date checked, the flag, and the rough cost per click. This running list is worth more than it looks. It stops you re-checking the same keyword and city twice, it shows which green spots you are already running in, and over time it becomes a map of cheap advertising you can return to. When you want a new low-cost spot, the answer is one glance at the list, not a fresh hunt from scratch.
Keyword and cities in
You give the bot one keyword and a list of locations you care about, then leave it to work.
Bot teleports and reads
It projects into each city like a VPN, runs the search, and reads who is advertising on your keyword.
Every city flagged
Green for empty, orange for unrelated ads, red for real competition, one clear flag per location.
Ads run, cost drops
You point the campaign at the green spots, set a low cost per click, and every check is logged.
Build this competitor tracker inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind bots like this one. Step by step, no code, plain English. Find the cheap ad spots you keep overpaying to ignore, without ever fighting a bidding war again.
The six months after I switched it on
Here is the shape of the first six months after I started checking every keyword for empty spots before running it. The line climbs modestly, because cheap clicks turn into sales over a few weeks, then the saving on each click compounds across a campaign that keeps running.
Monthly ad spend saved by running only in green spots, after switching on
Three things matter on this chart. The saving keeps climbing because each new green spot adds to the ones already running. The cheaper click repeats every single day the campaign is live. And every dollar of it came from keywords I would have overpaid for if I had only ever seen the crowded city’s price.
What other students built with the Google ads competitors tracker
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I was paying top dollar on one keyword for years. The bot found three cities where nobody was bidding. Same keyword, half the cost per click, and my ad was the only one on the page.”
“The teleport part is what sold me. Seeing the ads a person in another country actually sees changed how I think about every campaign I run.”
“The red flags saved me as much as the green ones. The bot kept telling me a keyword was crowded everywhere, so I stopped wasting budget trying to force it.”
“I run a small budget, so every cheap click counts. Pointing my ads only at the green cities stretched the same money about twice as far as before.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that listen, research, and report while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
The competitor tracker: common questions
Pulled from what readers and Automations Made Easy students ask most.
How does the bot check a location it is not in?
The bot projects itself into the location I pick, the same way a VPN does. It runs a search as if it were sitting in that exact city. Google shows different ads in different places, so a keyword can be crowded in one city and empty in another. By running the check from inside each location, the bot sees the real ads a person there would see. That is how it tells me whether a spot is busy or open, one city at a time, without me ever travelling or guessing.
What do the green, orange, and red flags mean?
Green means nobody is running ads on my keyword in that location, so it is a clear road and I control the cost per click. Orange means someone is advertising there, but on a different product than mine, so there is still some competition to watch. Red means there is real competition on the exact thing I want to promote, so the cost per click will be high. I only act on the green ones. Those are the spots where I can set a low cost per click and keep it low because nobody is bidding against me.
Why does running ads in empty spots cost less?
Cost per click on Google Ads is mostly decided by how many people want the same spot. When several advertisers bid on one keyword, the price climbs because each one is willing to pay more to win. When nobody else is bidding, there is no bidding war, so I set a low price and it stays low. The empty spots the bot finds are a blue ocean. I am not fighting anyone for the click, so I pay close to the floor instead of the ceiling, for the same keyword.
Do I have to check each location by hand?
No, and that is the point of the bot. I give it one keyword and a list of locations I care about once. It then teleports into each one in turn, runs the check, and records whether the spot is green, orange, or red. It works through the whole list on its own in the background while I do something else. By the time it finishes I have a clean map of every location and its flag. I never sit there running searches one by one or switching my location manually.
How much can this realistically lower my cost per click?
The honest framing is that focusing only on the empty spots cut my cost by roughly half on the keywords I ran this way. It is not magic and it is not the same every time. Some keywords are crowded everywhere and the bot simply tells me to leave them alone. But when it finds a genuine open spot, the saving is real because I am not in a bidding war. Half the cost for the same keyword, found automatically, adds up fast across a campaign that runs for months.
Does a cheaper click actually mean better results?
Yes, and that surprised me at first. A lower cost per click means the same budget buys more clicks, so more people see the offer for the same money. On top of that, being the only advertiser on a keyword means my ad is the only one a searcher sees, instead of one of five. So my click-through is usually higher too. Cheaper clicks and a clearer field at the same time is why the green spots beat fighting for a crowded keyword. I document my income streams openly on YouTube so the shape of this is checkable, not a guess.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Run this competitor tracker yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind automations like this and build your own at home, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through how to wire this to your own campaigns first, I take a small number of consulting clients each month.
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