Increase Dwell Time Using Black Hat SEO Tactics

PLUS: TikToptimisation - maximising TikTok visibility

Increase Dwell Time Using Black Hat SEO Tactics

Dwell time measures how long visitors spend on your webpage after clicking through from search results before returning to the SERP. A 2024 leak of internal Google documents revealed that Google can track long click behaviors, meaning how much time users spend on a page before clicking elsewhere.

Most people obsess over keywords and backlinks. But there's a sneakier game happening right under your nose.

Someone figured out how to weaponize dwell time at scale. And they're using 1000s of motivated users to do it.

The Download Incentive Method That Manipulates Search Rankings

You want something valuable. A premium file. An ebook. Software. Something worth $50, $100, maybe more.

You click download. But instead of getting your file immediately, you get instructions. Specific instructions that benefit someone else's SEO.

The brilliance? You're already invested. You want that file. So you follow orders.

The instructions are simple. Go to Google. Search for a specific phrase like "shairs.co buy wig now pay later" or "shairs.co lace front wigs pay later".

You type it in. You search. The first result appears. You click it because that's what the instructions told you to do. Here's what the entire instruction page looks like:

Dwell Time - Instruction page showing Google search requirement

Different implementations use different search phrases.

Instruction page #2 showing different Google search requirement

Instruction page #3 showing different Google search requirement

Some sites rotate keywords to avoid detection patterns. Each variation gets tested and optimized for maximum ranking impact.

Multiple instruction variations with different keywords

How Forced User Engagement Tricks Google's Algorithm

Now you're on their site. And this is where the real manipulation begins.

Sometimes you get a code immediately. You paste it in. Download starts. Done. This is what a quick access code interface looks like:

Access code input interface with verification

Other times? The system makes you wait. It tells you to scroll up and down. Find a button that changes position. Wait for a countdown timer. Solve a CAPTCHA. Navigate to different pages.

Website interface with countdown timer and verification steps

You're not just visiting anymore. You're actively engaging. Clicking. Scrolling. Spending real time on the page. 30 seconds. 60 seconds. Sometimes longer.

All while Google watches.

The moving target technique is particularly clever. The download button changes position as you scroll. Users spend extra time hunting for it. More scrolling. More clicks. More engagement. And once they find it, there's often another wait:

Timed button requiring user to wait

Some implementations require you to navigate through the site itself. Find specific pages like Go to Shop Page. Click specific elements. Each interaction compounds the engagement signal:

Navigate to Shop page

Why Google's Algorithm Falls for This

Google uses engagement metrics to understand whether content effectively meets user search intent, with longer dwell times suggesting the content is valuable.

The algorithm sees thousands of users searching the same phrase. High click-through rates on the first result. Long sessions with active engagement. No immediate bounces back to search results.

Google interprets this pattern as value. As relevance. As content worth ranking higher.

Different search queries serve different purposes. "Buy now pay later wigs" targets purchase intent. "Lace front wigs pay later" captures specific product searches. The variety prevents pattern detection because the searches look organic. Eventually, you land on the actual product page after all verification steps:

Final captcha to grab premium file

The Click Farming Strategy That Boosts Dwell Time Artificially

Rand Fishkin, veteran SEO expert, ran experiments proving this works. He tweeted instructions to his audience of hundreds of thousands. Told them to Google a specific keyword and click on a specific result at the bottom of Page 1.

Got several hundred clicks in 3 hours. Had both pages jump from the bottom of Page 1 to the #1 spot as a result.

He repeated this on other occasions. More people tested it. Everybody confirmed the findings. Then a Google rep said dwell time and CTR are "generally made-up crap." But the leaked Google Search API documents told a different story.

Discussion about click manipulation experiments

Scale This Using TaskRabbit Workers or AI Agents

The key to making this work is distribution at scale. One person doing this means nothing. Thousands of people daily? That moves needles.

Premium content sites. File sharing platforms. Course repositories. Anywhere people want valuable downloads. Each download requires the task. Each task generates engagement.

Sites like Shairs have perfected this model. They offer genuine value but make users work for access to promotional codes.

You don't even need real users. TaskRabbit workers can execute these tasks for a few dollars each. AI agents have made click farms cheaper than ever. Or use your own employees during downtime.

The searches are real. Typed by real humans or realistic bots. The clicks are genuine. The engagement is measurable and organic-looking.

Why This SEO Technique Still Works in 2026

While Google doesn't officially acknowledge dwell time as a ranking factor, internal documents suggest they track long click behaviors. They're watching. They're learning.

But Google's algorithm can't distinguish between "I'm searching this because I want this product" and "I'm searching this to get a free download". Both create the same data footprint. Both look like intent. Both generate engagement.

And if the page actually offers value related to the search query, how do you call it manipulation?

The Psychology That Makes Users Comply

People tolerate this because the value proposition is clear. Spend 90 seconds helping someone's SEO, get a $100 file for free.

The friction is calibrated perfectly:

  • High enough to increase dwell time metrics

  • Low enough that people don't abandon the process

  • Clear enough that users complete tasks properly

Because users knowingly participate, they generate real searches, real clicks, real engagement.

The Legitimate Alternative That Actually Works

You can create content so good that people naturally stay on your site. Build interactive elements. Offer genuine value that keeps visitors engaged.

The Google Search API leak highlighted the importance of user engagement metrics, making dwell time optimization more crucial than ever.

But this black hat process speeds up rankings dramatically. Why wait months for organic engagement when you can manufacture it in weeks?

The long-term play is always quality content. But if you need rankings fast, this technique delivers.

Create genuinely valuable downloadable content that people want badly enough to complete tasks.

Set up the verification system with Google search requirements, specific keywords, and timed engagement triggers. Calibrate the friction carefully. Too easy (5 seconds) gives no dwell time benefit. Too hard (5 minutes) makes users abandon.

What This Means for Your SEO Strategy

You don't need to implement this exact system. But you should understand the principle.

Dwell time matters. Engagement signals matter. User behavior patterns influence rankings.

Google uses engagement metrics to understand whether content effectively meets user search intent, with longer dwell times suggesting the content is valuable.

Find ways to keep people on your site longer through legitimate means. Or go the black hat route and incentivize the behavior directly.

Either way, the algorithm responds to engagement. However you generate it.

Top Tweets of the day

1/

Index your pages in Google Search Console whenever you make a change. I wrote a custom Go script to automate this process.

2/

Interesting insight between Paid Ads on Meta vs Virality on TikTok.

3/

AI SEO is real but there are very fewer moving parts to it on top of SEO.

I've seen the posts written by AI SEO blogs and they are unreadable. You need a lot of manual editing for it.

Copy AI is one example that jumped on it and their blogs suck even though they get traffic. I doubt the traffic stays because its so unreadable. Only one way to know. Push pure AI slop and compare it with AI-generated human-edited content. I do think the latter would win.

I tend to use AI and its obvious I use it in some ways but readers still find it useful enough to read it. That's the perfect balance.

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