Google CTR Manipulation – Ask Me Anything

What do You think about Using AI Agents for this? There are already some "ready" solutions available with API (like, BrowserUse Cloud and a bunch of Others). Also now Adspower has AI Agent/MCP Server features so you can command through Coding Agents like Claude Code or also Codex and ask them to build an RPA automation using Adspower profile.

Do you think this can become a good way to run CTR Manipulation now?
 
Interesting topic, but I’d focus more on testing genuine CTR improvements and user intent, since manipulative traffic can backfire pretty quick.
 
Ran an experiment with a Google/Bing Top 1 strategy. The goal was to figure out how much resource and budget is actually needed to push a site into the Top 3, with the ultimate goal of reaching #1 across the entire keyword set.

For the test, I used Germany, the US, and Brazil. Niche: gambling.

Strategy 1: search suggestions only, with no direct bot interaction with the website.

Basically, all bot activity ended in the SERPs, with no direct CTR manipulation.

Surprisingly, this worked well enough to push keywords into the top positions.

The funny part is that I expected this approach to require significantly fewer resources in terms of proxies and servers, since there is no need to build up and warm up profiles for direct site visits, and each action takes no more than 30 seconds.
For a small, highly focused site with 7-10 pages and 20-30 target keywords, the total cost was $1820 to move the keywords from the Top 100 into the Top 3.

All keywords reached the target positions, and it took only 1.5 days.

Strategy 2: The classic CTR manipulation approach, with direct interaction with the website and bot actions after clicking through from the SERPs.

Surprisingly, this performed both worse and slower, despite requiring roughly the same budget.

In the end, only 37% of the keywords reached the target positions.

P.S. all domains were fresh registrations with zero history and zero backlinks.

Interested to see how these results hold up over a longer period
 
Interesting topic, but I’d focus more on testing genuine CTR improvements and user intent, since manipulative traffic can backfire pretty quick.
Bro, manipulating CTR like any other tactic affecting a site is something you either do over the long haul (for white-hat projects) or in the short term (for gray-hat ones). You have no idea how hard it is to secure top search rankings these days without doing that)
 
Ran an experiment with a Google/Bing Top 1 strategy. The goal was to figure out how much resource and budget is actually needed to push a site into the Top 3, with the ultimate goal of reaching #1 across the entire keyword set.

For the test, I used Germany, the US, and Brazil. Niche: gambling.

Strategy 1: search suggestions only, with no direct bot interaction with the website.

Basically, all bot activity ended in the SERPs, with no direct CTR manipulation.

Surprisingly, this worked well enough to push keywords into the top positions.

The funny part is that I expected this approach to require significantly fewer resources in terms of proxies and servers, since there is no need to build up and warm up profiles for direct site visits, and each action takes no more than 30 seconds.
For a small, highly focused site with 7-10 pages and 20-30 target keywords, the total cost was $1820 to move the keywords from the Top 100 into the Top 3.

All keywords reached the target positions, and it took only 1.5 days.

Strategy 2: The classic CTR manipulation approach, with direct interaction with the website and bot actions after clicking through from the SERPs.

Surprisingly, this performed both worse and slower, despite requiring roughly the same budget.

In the end, only 37% of the keywords reached the target positions.

P.S. all domains were fresh registrations with zero history and zero backlinks.

Interested to see how these results hold up over a longer period
What do you mean by search suggestions only? Like interacting with the suggested searches around your brand?
 
What do you mean by search suggestions only? Like interacting with the suggested searches around your brand?
Search suggestions - this involves a high volume of click-throughs on specific search queries. It utilizes a multitude of variations and identifiers unique to the site being promoted. The Google algorithm definitely favors this
 
Search suggestions - this involves a high volume of click-throughs on specific search queries. It utilizes a multitude of variations and identifiers unique to the site being promoted. The Google algorithm definitely favors this
Can you name a few keywords so we can actually understand? Is it "keyword + brand/domain", "brand/domain + keyword" or what?
How many clicks/interactions total you've sent and seen results?
The bot clicked the suggestion and then did what on the google page, just scroll back and forth?
 
Can you name a few keywords so we can actually understand? Is it "keyword + brand/domain", "brand/domain + keyword" or what?
How many clicks/interactions total you've sent and seen results?
The bot clicked the suggestion and then did what on the google page, just scroll back and forth?
I used a lot of keyword variations around 500 variations in total across 30 keywords.

For context, I added an additional identifier, “277,” to both the page and the page URL. It was simply an arbitrary number created for the experiment.

The identifier was also used directly in the page content alongside the main and long-tail keywords.

Interestingly, the pattern worked specifically around these combinations. It wasn't simply keyword + brand or keyword + domain. Longer-tail queries containing sequences of these identifiers were also picked up.

As for the volume, the total number of successful actions was 514K
 
For example, the URL would be:

site.com/slots-online-277

So you have the domain + brand + identifier. The same pattern is used in the title, for example: Brand + Slots Online 277.

I used these kinds of combinations in different variations.

By the way, when the numeric identifier is included in the domain/URL, the effect seems to kick in much faster. I launched another test today specifically to check this.

I should have the ranking data tomorrow.
 
I used a lot of keyword variations around 500 variations in total across 30 keywords.

For context, I added an additional identifier, “277,” to both the page and the page URL. It was simply an arbitrary number created for the experiment.

The identifier was also used directly in the page content alongside the main and long-tail keywords.

Interestingly, the pattern worked specifically around these combinations. It wasn't simply keyword + brand or keyword + domain. Longer-tail queries containing sequences of these identifiers were also picked up.

As for the volume, the total number of successful actions was 514K
And then what? You ranked for some/all your 30 keywords + 277 in the keyword or just plain 30 keywords that really have search traffic?

So 514k actions from unique proxies? You used 514k proxies?
 
And then what? You ranked for some/all your 30 keywords + 277 in the keyword or just plain 30 keywords that really have search traffic?

So 514k actions from unique proxies? You used 514k proxies?
The goal was to reach the top positions exclusively for commercial search queries.

Interestingly, the numeric identifier 277 is now also showing up in Google search suggestions, which I consider an additional pretty cool result.

277 was just one of many unique numeric identifiers used alongside the main and long-tail keywords. In total, there were 520 keywords involved in the test.

For proxies, I used standard unique residential desktop proxies 12k in total.
 
The goal was to reach the top positions exclusively for commercial search queries.

Interestingly, the numeric identifier 277 is now also showing up in Google search suggestions, which I consider an additional pretty cool result.

277 was just one of many unique numeric identifiers used alongside the main and long-tail keywords. In total, there were 520 keywords involved in the test.

For proxies, I used standard unique residential desktop proxies 12k in total.
How did the results hold up over time?
 
The Google Top 1 in 24 hours strategy works perfectly it has been tested across 10 niches.
I mean how did it look like when you stopped. I’m guessing burning 1.8k every day is pretty unsustainable. I’m in local SEO and I’m wondering if I could apply this on a smaller scale. Small cities and pretty „open” niches so in theory much less volume needed.
 
Great thread topic.

What is your take on pogosticking simulation versus direct search and click? In your tests, does having the bot click a competitor first, bounce back quickly, and then dwell on your target URL produce faster ranking jumps, or do you stick to straight brand plus keyword searches?

Also, once your target keyword hits the top 3 and you scale down the bot volume, how long do rankings typically hold before natural decay starts?
 
I mean how did it look like when you stopped. I’m guessing burning 1.8k every day is pretty unsustainable. I’m in local SEO and I’m wondering if I could apply this on a smaller scale. Small cities and pretty „open” niches so in theory much less volume needed.
Unfortunately, theory diverges from practice. A resource’s potential is determined by the number of head and long-tail queries, rather than by their search frequency.
Great thread topic.

What is your take on pogosticking simulation versus direct search and click? In your tests, does having the bot click a competitor first, bounce back quickly, and then dwell on your target URL produce faster ranking jumps, or do you stick to straight brand plus keyword searches?

Also, once your target keyword hits the top 3 and you scale down the bot volume, how long do rankings typically hold before natural decay starts?
What you’ve described is best handled separately; it’s a tactic known as "removing a competitor from search results" by intentionally degrading their behavioral metrics. To push a specific keyword to the top, a massive influx of bot traffic is directed through various search phrases and identifiers. Once the top position (rank #1) is achieved, the strategy shifts to a maintenance mode to hold that spot.
 
what if you are in page 2 bouncing there in a keyword that you are targeting to rank has millions of monthly search volume ?
the budget of proxies must be bigger no ?
 
Unfortunately, theory diverges from practice. A resource’s potential is determined by the number of head and long-tail queries, rather than by their search frequency.

What you’ve described is best handled separately; it’s a tactic known as "removing a competitor from search results" by intentionally degrading their behavioral metrics. To push a specific keyword to the top, a massive influx of bot traffic is directed through various search phrases and identifiers. Once the top position (rank #1) is achieved, the strategy shifts to a maintenance mode to hold that spot.
I have dozens of main keywords I'd be happy to rank for as my site is in general contracting niche(+100 keyword + location subpages). You're saying you want to attach a unique number to that page in URL slug and in H1 etc. (I'm thinking something like "Round Rock kitchen renovation 78664" to make it look natural) and just run tons of searches of that exact query? I'd actually test that out in my niche. Only problem is I don't want to throw more than $100 at it right now.

I have a Multilogin account with following setup:
- Mobile profiles: Android 14
- Desktop profiles: Mimic, Multilogin’s Chromium-based desktop browser.
- Fingerprint: each profile has its own browser identity, with settings for fonts, screen resolution, Canvas, WebGL, and other signals websites can read.
(each profile keeps separate cookies, local storage, and login sessions)
(timezone, language, geolocation, and WebRTC settings can match the proxy’s location)
- Multilogin residential proxies, sticky sessions keep the same IP
- Automation: Node.js starts phones through the Multilogin API, controls Android through ADB, and controls Chrome through CDP.

Am I missing anything?
 
what if you are in page 2 bouncing there in a keyword that you are targeting to rank has millions of monthly search volume ?
the budget of proxies must be bigger no ?
There are many strategies; right now, I’m using strict settings getting into the Google top results in just one day where the keyword must already be in the top 100. Yes, it’s not cheap, but it’s fast.
I have dozens of main keywords I'd be happy to rank for as my site is in general contracting niche(+100 keyword + location subpages). You're saying you want to attach a unique number to that page in URL slug and in H1 etc. (I'm thinking something like "Round Rock kitchen renovation 78664" to make it look natural) and just run tons of searches of that exact query? I'd actually test that out in my niche. Only problem is I don't want to throw more than $100 at it right now.

I have a Multilogin account with following setup:
- Mobile profiles: Android 14
- Desktop profiles: Mimic, Multilogin’s Chromium-based desktop browser.
- Fingerprint: each profile has its own browser identity, with settings for fonts, screen resolution, Canvas, WebGL, and other signals websites can read.
(each profile keeps separate cookies, local storage, and login sessions)
(timezone, language, geolocation, and WebRTC settings can match the proxy’s location)
- Multilogin residential proxies, sticky sessions keep the same IP
- Automation: Node.js starts phones through the Multilogin API, controls Android through ADB, and controls Chrome through CDP.

Am I missing anything?
In principle, everything is correct. The proxies need to be of high quality.
 
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