Social media is changing fast — but not always for the better.
In the last two years, a new kind of user has quietly flooded Twitter (now X): AI-powered accounts run by Large Language Models (LLMs) like GPT and Claude.
These accounts don’t sleep, don’t think, and don’t care. They generate replies, post threads, and follow trends — all automatically. On the surface, they look human. But in reality, they’re not.
Welcome to the era of LLM-run Twitter accounts — where artificial engagement blurs the line between authentic conversation and algorithmic noise.
What Are LLM-Run Twitter Accounts?
LLM-run Twitter accounts are profiles managed or partially automated using AI text-generation models. They can post tweets, reply to others, and even mimic tone and humor convincingly.
But here’s the problem: these accounts aren’t engaging — they’re imitating.
They flood timelines with low-value, repetitive, or contextless replies. They repost popular content without attribution. They generate “viral-style” tweets using prompts and templates.
They’re not connecting — they’re replicating.
According to CHEQ’s 2024 Bot Activity Report, more than 38% of social media activity now originates from automated or AI-assisted accounts. On X alone, independent researchers estimate over 20% of new accounts show signs of LLM-driven activity.
That means for every five new followers you gain, one could be a machine.
How LLM-Run Accounts Hurt Your Twitter Experience
At first, they seem harmless — even flattering. They like your posts, reply to your tweets, and sometimes quote you. But over time, their presence dilutes your network.
Here’s how they cause real damage:
- Feed Pollution: LLM accounts generate thousands of posts per hour, burying meaningful conversations under a flood of AI noise.
- Engagement Inflation: They skew your metrics, creating an illusion of popularity while masking your true audience behavior.
- Ad Waste: If you run ads on X, your campaigns might be shown to AI-driven profiles that will never click, buy, or engage.
- Algorithm Confusion: X’s recommendation system learns from engagement. When bots engage, the algorithm misinterprets your audience’s interests — making your reach less relevant.
In short, LLM-run accounts make your feed look busy but feel empty.
Your engagement rises — but your connection dies.
The Hidden Cost of AI-Driven Engagement
It’s easy to dismiss these accounts as background noise, but the economics are brutal.
If 20% of your followers are LLM-run bots, that means:
- 20% of your impressions are wasted.
- 20% of your ad budget is burned.
- 20% of your engagement data is meaningless.
Let’s put that in numbers:
If you spend $500 on a campaign, and one in five impressions lands on a non-human account, $100 of your spend evaporates instantly.
Multiply that by a year of advertising, and the hidden cost of LLM pollution can exceed thousands of dollars — all without a single real conversion.
This isn’t just a social problem. It’s a data problem, an economic problem, and an authenticity crisis.
How to Identify LLM-Run Accounts
Spotting AI-run profiles isn’t always easy — they’re getting smarter, faster, and more human-like. But there are key signals that give them away.
Here’s what to look for:
- Overly Generic Replies: They reply quickly but with vague, templated comments like “That’s interesting!” or “I totally agree!” — across unrelated topics.
- Nonstop Posting: Many LLM-driven accounts post 24/7 with consistent phrasing and rhythm, something no real user can sustain.
- Profile Irregularities: They often lack a clear personal identity — generic usernames, no unique photos, and profile bios filled with keywords instead of personality.
- Engagement Without Context: They retweet viral posts rapidly or reply to trending hashtags seconds after they appear — showing automation, not curiosity.
- Content Recycling: They post paraphrased or copied versions of popular tweets from other users, sometimes with identical hashtags or emojis.
The more you see these signs, the higher the probability that account is AI-run.
How Circleboom Helps You Find and Remove LLM-Run Accounts
Detecting AI-run accounts manually is nearly impossible — but with Circleboom, it’s effortless.
Circleboom’s suite of tools helps you clean, analyze, and secure your Twitter audience in minutes.
Arif Akdogan
Here’s how:
1. Fake & Inactive Account Detection
Circleboom’s algorithm identifies suspicious activity patterns, including high-frequency posting, identical engagement timing, and automation footprints typical of LLM-generated behavior.
2. Ghost & Bot Removal
With one click, you can remove bots, fake, or inactive followers — instantly increasing your engagement rate and improving the accuracy of your analytics.
The chances that you have at least one LLM-Run follower on X is very high. However, they are so good at pretending like a human so you can't detect them by yourself. That's why you should use Circleboom and find to remove those LLM-Run Twitter bots ⬇️
Kevin O. Frank
3. Engaging Account Insights
Circleboom’s Engaging Account feature pinpoints the followers who genuinely interact — real people who reply, retweet, and engage consistently. This helps you separate the humans from the hype.
Real people leaves real traces. On Twitter, they are retweets! Find those accounts who retweet your posts frequently and make them your engaging audience!
Altug Altug
4. Audience Cleansing for Ads
Running ad campaigns? You can export your clean, verified follower list into X Ads Manager. That means your ads reach real people, not algorithms.
The result:
- Up to 90% reduction in fake or AI-driven impressions.
- 35% increase in engagement rate within two weeks.
- Lower CPA and higher ROI across every campaign.
With Circleboom, you don’t just clean your audience — you reclaim it.
Why It Matters
The rise of LLM-run Twitter accounts marks a turning point for social media.
We can no longer measure influence by how loud the network is — but by how alive it is.
The future of social platforms won’t belong to those with the most followers; it will belong to those with the most authentic ones.
LLMs can mimic language, but they can’t replicate human intent. And in a world built on conversation, intent is everything.
That’s why Circleboom’s mission is clear: to bring humanity back to the feed — one cleaned audience at a time.
Final Thoughts
The next wave of digital clutter won’t come from spam — it will come from AI.
But just because your followers sound human doesn’t mean they are.
With intelligent tools like Circleboom, you can expose the illusion, remove the artificial, and rebuild your presence around what truly matters: real people, real engagement, real impact.
The future of social media is human again.
And it starts with cleaning your audience — today.
