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97% Detection Accuracy

Detect Bot Activity
Before It Costs You

Bots inflate followers, fake engagement, manipulate trends, and waste your budget. Our AI detects them across 6 platforms in real-time.

97% accuracy across all bot types
Network forensics reveal bot farms
6 platforms: Twitter, Instagram, YouTube, TikTok, Twitch, Kick
50M+ Accounts Analyzed
12K+ Bot Campaigns Detected
98.4% Detection Accuracy
What You See
@fashion_influencer
@fashion_influencer
Fashion & Lifestyle
500K
Followers
5.2%
Engagement
Looks legitimate
#BrandScandal
150K tweets • Trending #3
Appears organic
What We Detect
@fashion_influencer
@fashion_influencer
⚠️ 62% Bot Followers
Bot Farm Detected
45,234 accounts linked to click farm
#BrandScandal
🔴 87% Bot-Driven Attack
Coordinated bot farm pattern

The Bot Economy Is Destroying Trust in Social Media

Social media platforms are infected with bots. Fake followers, purchased engagement, manufactured trends—an entire shadow economy exists to deceive you. The cost? $1.3 billion in wasted influencer marketing. Countless damaged reputations. Decisions based on lies.

Fake Followers

15-60% of followers are bots

Brands pay for 500K reach, get 150K real humans

Real Example:
Fashion influencer with 1.2M followers → 78% bots → $120K wasted partnership

Purchased Engagement

67% of campaigns involve fake engagement

5% engagement rate looks great, but 71% comes from click farms

Real Example:
Product launch with 50K "likes" → 89% from bot networks → zero actual conversions

Manipulated Trends

23% of trends show bot coordination

Manufactured controversies look like organic outrage

Real Example:
Brand crisis hashtag → 87% bot-driven → $315K crisis response to fake outrage

Coordinated Attacks

Bot farms operate 24/7 for hire

Competitors weaponize bots to damage your reputation

Real Example:
Political campaign attacked with 47 bot-driven negative trends in 3 months

The Hidden Costs

$1.3B
Wasted on bot followers annually (influencer marketing alone)
$2.3M
Average brand value loss per manufactured crisis
68%
Of consumers lose trust when brands partner with fake influencers
15-20h
Per week wasted chasing fake trends and engagement

"Bots don't just waste money. They destroy trust, damage reputations, and make every decision uncertain. Unless you can detect them."

Understanding the Bot Ecosystem

Not all bots are created equal. Some inflate follower counts. Others create fake engagement. Some manipulate trending topics. The most sophisticated coordinate across thousands of accounts. Here's what we detect.

Follower Bots

Automatically follow accounts to inflate follower counts

Detection Signals
  • New accounts (created in last 30 days)
  • Suspicious follower ratios
  • Incomplete profiles
  • Massive follow/unfollow cycles
Most common - found in 89% of influencer accounts

Engagement Bots

Like, comment, share, retweet on command

Detection Signals
  • Generic comments ("Great!", fire emojis)
  • All within 2-minute window
  • Identical structure across accounts
  • Unnatural velocity (1000 likes in 30 sec)
67% of influencer campaigns show bot engagement

Trend Manipulation Bots

Tweet/post specific hashtags to make topics trend

Detection Signals
  • Coordinated posting (thousands in minutes)
  • Identical content templates
  • Non-human activity hours (3 AM spikes)
  • Network coordination patterns
23% of trending topics show bot manipulation

Bot Farms (Networks)

Thousands of bot accounts controlled centrally

Detection Signals
  • Star network pattern (central → bot army)
  • IP clustering (same datacenter)
  • Synchronized behavior (act within seconds)
  • Shared infrastructure
2,400+ active bot farms identified

Dormant/Reactivated Bots

Old inactive accounts suddenly reactivated for campaigns

Detection Signals
  • Long inactive period (6+ months)
  • Sudden activity burst (0 → 500 tweets/day)
  • Topic shift (travel → politics)
  • Behavioral change (human-like → bot-like)
19% of bot accounts are reactivated dormant accounts

Sophisticated AI Bots

Use AI to generate human-like content and behavior

Detection Signals
  • Still coordinated despite sophistication
  • Too consistent to be human
  • Authentic on one platform, bot on others
  • Subtle timing and interaction patterns
12% of bots we detect are sophisticated/AI-powered

"Bot technology improves constantly. Basic 'new account with no followers' detection doesn't work anymore. You need network forensics, behavioral analysis, and cross-platform intelligence. That's what we built."

6 Layers of Detection.
Zero Guesswork.

Most tools check 1-2 signals and guess. We analyze 50+ signals across 6 detection layers. Bots can fake individual signals, but they can't fake all of them simultaneously.

1

Account Profiling

We Analyze
  • Account age & creation date
  • Profile completeness
  • Follower/following ratios
  • Username patterns
Layer Accuracy
73%standalone
2

Behavioral Analysis

We Analyze
  • Posting frequency & patterns
  • Engagement timing
  • Content variety
  • Human biometrics
Layer Accuracy
81%standalone
3

Network Forensics

We Analyze
  • Follower relationships
  • Retweet/share structures
  • Community clustering
  • Bot-to-bot connections
Layer Accuracy
89%standalone
4

Content Analysis

We Analyze
  • Text similarity
  • Template detection
  • Language quality
  • Media reuse patterns
Layer Accuracy
77%standalone
5

Geographic & IP Intelligence

We Analyze
  • IP address sources
  • Datacenter vs residential
  • VPN/proxy usage
  • Location consistency
Layer Accuracy
86%standalone
6

Cross-Platform Analysis

We Analyze
  • Multi-platform presence
  • Activity consistency
  • Follower overlap
  • Platform-specific signatures
Layer Accuracy
84%standalone

The Algorithm: How Layers Combine

Our proprietary weighted algorithm combines all 6 layer scores plus 50+ individual signals, trained on 50,000+ confirmed bots and 100,000+ authentic accounts.

0-20% Bot Score
Likely Human
21-60% Bot Score
Suspicious
61-100% Bot Score
High Confidence Bot
97.3%
Overall Detection Accuracy
<2%
False Positive Rate

"Bots can fake one layer. Maybe two. But they can't simultaneously fake authentic network patterns, human behavioral biometrics, residential IP addresses, cross-platform consistency, original content, and natural timing. Our multi-layer approach is why we catch 97% of bots."

See Detection in Action

Interactive demonstrations of how our 6-layer system detects different types of bot activity

Profile Analysis

@travel_wanderer
@travel_wanderer
850K followers
73% Bot Score
621K bot followers detected
Star network pattern (bot farm)
67% engagement from click farms

Layer Breakdown

Account Profiling68%
Behavioral Analysis82%
Network Forensics91%
Content Analysis45%
IP Intelligence76%
Cross-Platform52%

Bot Detection for Every Scenario

Influencer Due Diligence

Vetting influencers before $50K partnership

How It Helps
  • Scan profile in 60 seconds
  • Get bot percentage breakdown
  • Identify bot farms and click rings
  • Cross-platform verification
Only partner with authentic influencers

Crisis Management

Brand trending at 3 AM - real crisis or bot attack?

How It Helps
  • Real-time manipulation scoring
  • Detect bot-driven hashtags in 18 min
  • Distinguish real from manufactured
  • Avoid $315K crisis response waste
Respond strategically to real issues only

Competitor Intelligence

Competitor's influencer campaign looks successful

How It Helps
  • Analyze competitor's influencer partners
  • Detect if they are using bot farms
  • Avoid copying fraudulent tactics
  • Find authentic alternatives
Smart decisions based on real data

Platform Safety

Maintaining platform integrity and user trust

How It Helps
  • Detect bot signups in real-time
  • Identify bot networks before they scale
  • Protect authentic users from spam
  • Automated bot removal workflows
Clean, trustworthy platform

Research & Journalism

Investigating disinformation and manipulation campaigns

How It Helps
  • Analyze past bot campaigns
  • Track manipulation patterns over time
  • Export data for academic papers
  • Cite credible bot detection methodology
Publish credible research on bot manipulation

Political Campaigns

Opponent using bot armies to spread negative hashtags

How It Helps
  • Detect bot attacks as they start
  • Document manipulation for FEC complaints
  • Focus on real voter concerns
  • Protect candidate reputation
Win election despite bot attacks

Why Our Detection is Different

ApproachSignalsAccuracy TimeBot Farms
Manual Review
3-530-40%2-4 hours❌ No
Basic Tools
5-1060-70%10-15 min❌ No
Social Listening
10-1550-60%Ongoing❌ No
Platform Native
8-1265-75%Instant⚠️ Limited
Our Detection
50+ signals, 6 layers97%60 sec✅ Yes

❌ What Others Check

  • Surface metrics (follower count, engagement rate)
  • Basic account age
  • Single-platform analysis
  • No network forensics
  • Miss sophisticated bots

✅ What We Detect

  • Network forensics (bot farms, coordination)
  • Behavioral biometrics (human vs bot patterns)
  • IP intelligence (datacenters, proxies)
  • Cross-platform analysis (6 platforms)
  • Content fingerprinting (template detection)

"Basic tools check if an account exists and has followers. We check if those followers are human, if they're coordinated, where they're really from, and who's controlling them. That's the difference between 70% and 97% accuracy."

Accuracy You Can Bet Your Budget On

Tested against 50,000+ confirmed bots and 100,000+ authentic accounts across all support platforms.

97.3%
Overall Accuracy
Across all categories
98.4%
True Positive Rate
Correctly identified bots
1.7%
False Positive Rate
Humans flagged as bots
Bot TypeDetection Confidence Primary Detection Layer
Basic Follower Bots
99.2%
Account Profiling
Coordination Networks
94.5%
Network Forensics
Engagement Bots
91.2%
Behavioral Analysis
Reactivated Dormant Accounts
88.7%
IP Intelligence
Sophisticated AI Bots
89.7%
Behavioral Biometrics

Methodology & Validation

Our methodology is validated by 3 independent academic institutions. We prioritize Behavioral Fingerprinting and Network Forensics over simple metadata checks. Every report includes clear evidence of why a score was assigned.

Built for Every Industry

E-commerce & Brands

Vetting influencers for official brand partnerships

Key Benefit
Prevent wasting campaign budget on fake reach.

Marketing Agencies

Managing multi-client influencer campaigns

Key Benefit
Prove ROI with authenticated audience data.

Media & Journalism

Investigating manufactured trends and disinformation

Key Benefit
Identify bot farms behind viral stories.

Political Campaigns

Monitoring for bot-driven opponent attacks

Key Benefit
Ignore noise and focus on real voters.

Tech Platforms

Integrating detection into platform trust & safety

Key Benefit
Automate bot removal at scale via API.

Research & Academics

Studying digital network manipulation

Key Benefit
Access deep forensics for data-driven papers.

Automate Detection with REST API

Integrate bot detection into your existing workflows, platform, or CRM.

Automating Platform Safety

Scan new signups for bot-like behavioral biometrics in real-time.

Benefit: MAINTAIN PLATFORM QUALITY WITHOUT MANUAL WORK

Social Media Management

Check trend manipulation score when scheduling trending content.

Benefit: PROTECT USERS FROM FAKE TRENDS

CRM / Marketing Automation

Bot score added to influencer contact records automatically.

Benefit: MAINTAIN CLEAN INFLUENCER DATABASE

Request - Check Bot Score
POST /v1/detect/bot
{
  "platform": "instagram",
  "username": "influencer_handle",
  "deep_scan": true
}

// Response
{
  "bot_score": 73.2,
  "confidence": 0.984,
  "bot_farm_detected": true,
  "reasons": ["network_forensics_star_pattern", "ip_datacenter_cluster"]
}

Full API Documentation

Comprehensive guides and interactive playground.

Interactive Playground

Try API calls directly in your browser.

Zapier Integration

No-code automation for 5000+ apps.

Dedicated Support

Direct developer access via Slack channel.

Detection You Can Trust

Proven Accuracy

97.3%

Tested against 150K+ accounts with 98.4% true positive rate.

Real-World Results

50M+

Accounts analyzed across 12,000+ detected bot campaigns.

Industry Recognition

67 Case Studies

Documented success in preventing wated spend and crisis costs.

Security & Privacy

GDPR Compliant

Analyzing only public data with SOC 2 Type II certification.

"We analyzed 1,200 influencers. 847 had >50% bot followers. Statilize saved us from wasting $3.2M on fake partnerships."

Sarah Chen
Sarah Chen
VP Marketing @ GlobalBrand

"During election season, we were attacked with 47 bot-driven hashtags. Detection helped us ignore the fake ones and focus on real concerns."

Marcus Rodriguez
Marcus Rodriguez
Campaign Manager

"As a platform, bot detection via API is critical. We have removed 340,000+ bot accounts in 6 months thanks to Statilize."

Priya Sharma
Priya Sharma
Head of Trust & Safety @ SocialApp

Common Questions

Everything you need to know about bot detection

How accurate is bot detection?

97.3% overall accuracy. We correctly identify 98.4% of bots (true positive) with only 1.7% false positives (humans flagged as bots). Accuracy varies slightly by bot type—sophisticated AI bots are harder (89.7%) while basic follower bots are easier (99.2%).

Can sophisticated bots evade detection?

The most sophisticated bots (AI-powered, aged accounts) are harder to detect, but our 6-layer approach still catches 89.7% of them. Bots can fake individual signals but cannot fake all simultaneously—network patterns, cross-platform consistency, and behavioral biometrics expose them.

What platforms do you support?

Currently: Twitter/X, Instagram, YouTube, TikTok, Twitch, and Kick. We are continuously adding platforms based on user demand.

Do you detect bots in real-time or is it delayed?

Influencer detection: 45-90 seconds per profile. Trend detection: 12-30 minutes from trend spike onset. We analyze data every 5 minutes for real-time monitoring.

What is the difference between bot detection and social listening?

Social listening tracks mentions, sentiment, and volume. Bot detection specifically identifies fake accounts, purchased engagement, and manipulation networks. They are complementary—listening tells you what is being said, detection tells you if it is real.

Can I detect bots on private accounts?

No. We only analyze publicly available data. Private Instagram accounts, protected Twitter profiles, or any content requiring authentication cannot be analyzed.

How do you handle false positives?

Our false positive rate is <2%. Every detection shows detailed evidence so you can review the reasoning. If you believe we are wrong, click "Report False Positive" and our team manually reviews within 24 hours. False positive reports improve our algorithm.

Do you provide historical data?

Yes. Professional plans include 30-90 days of historical trend data. Enterprise plans include up to 12 months. This helps you analyze past bot campaigns and identify recurring patterns.

Can I white-label your detection for my platform?

Yes. Enterprise plans include white-label options. You can embed our detection under your brand, customize reports, and integrate via API. Contact sales for white-label pricing.

Is there an API for automated detection?

Yes. Professional plans include 5K API requests/month. Add-on packages available for 100K requests ($299/month). Enterprise plans include unlimited API access. Full documentation at docs.statilize.com/api.

Stop Trusting Bots.
Start Detecting Them.

Choose your detection solution

Verify Influencer Authenticity

Before partnerships, campaigns, or budgets

Starting at
$49 /report
Know exactly who you're partnering with

Monitor Trends for Manipulation

24/7 protection from bot-driven crises

Starting at
$199 /month
Respond to reality, not manufactured noise
14-day free trial on all plans
No credit card required
30-day money-back guarantee
500+
Brands This Month
2,847
Bots Detected Today
342
Campaigns Stopped This Week

"Every day you don't detect bots is a day bots are deceiving you. Start now."