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What Is a Bot? Types of Bots and How They Work

What Is a Bot

TL;DR:

What is a bot?

  • A bot is an automated software program that performs tasks online without direct human involvement.
  • Some bots perform useful tasks, including search indexing and customer support. Malicious bots can generate fraudulent ad clicks or attempt account takeovers.
  • Botting is the practice of using bots to automate actions. Bot traffic is the website activity generated by those programs rather than human visitors.
  • The 2026 Thales Bad Bot Report puts automated traffic at 53% of web traffic in 2025.

What Are Bots?

Bots are software applications that automatically perform tasks over the internet. They follow programmed instructions and can repeat actions faster and at a larger scale than humans.

Bots can interact with websites, apps, servers, social media platforms, advertising systems, and online services. Some bots help websites function more efficiently, while others are designed to commit fraud, steal data, or mimic legitimate users.

The purpose of the bot determines whether it is considered beneficial or malicious.

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What Can Bots Do?

The term "bot" is short for "robot." Bots handle repetitive tasks that would otherwise require human action.

Depending on how they are programmed, bots can:

  • Visit websites
  • Click links
  • Fill out forms
  • Submit information
  • Collect data
  • Send messages
  • Monitor systems
  • Simulate user behavior

Modern bots can perform these actions continuously and at massive scale.

What Is Botting?

Botting is the practice of using bots to automate actions that would normally be performed by a human user.

The term is commonly used when discussing:

  • Ad fraud
  • Fake website traffic
  • Automated account creation
  • Social media manipulation
  • Content scraping
  • Credential stuffing attacks
  • Gaming exploits
  • Ticket purchasing automation

Not all botting is malicious. Businesses use bots to support customers or monitor website performance. The risk comes from bots that manipulate systems or generate fraudulent activity that passes as genuine engagement.

How Do Bots Work?

Bots work by following programmed instructions to carry out tasks automatically. A bot can repeat an action across websites or apps without a person performing each step.

Depending on their sophistication, bots may use:

  • Automated scripts
  • APIs
  • Browser automation tools
  • Artificial intelligence (AI)
  • Machine learning models
  • Residential proxy networks
  • Device fingerprint spoofing
  • Behavioral simulation technology

Advanced bots can mimic human browsing behavior. They may reproduce mouse movements or typing patterns to make automated activity look like genuine engagement.

As AI-powered automation becomes more accessible, distinguishing between legitimate users and sophisticated bots has become increasingly difficult.

What Is Bot Traffic?

Bot traffic is website activity generated by automated software rather than human visitors. It includes useful activity from search engine crawlers as well as fraudulent interactions from malicious bots.

The 2026 Thales Bad Bot Report puts automated traffic at 53% of web traffic in 2025, up from 51% in 2024.

For businesses, bot traffic can affect more than website visitor counts:

  • Website analytics may include non-human visitors
  • Paid advertising campaigns may receive fraudulent clicks
  • Lead generation forms may attract fake submissions
  • Attribution models can become distorted by bot activity
  • Security systems face constant automated probing attempts

Bots are no longer just an IT issue. They can affect marketing performance and the data businesses use to make campaign decisions.

Types of Bots: Good Bots vs. Bad Bots

Different types of bots serve different purposes. Search engine crawlers help websites appear in search results. Click fraud bots generate fake ad engagement that wastes advertising budgets.

The challenge for organizations is identifying the difference between legitimate automation and malicious bot activity.

Good Bots

Good bots perform useful tasks that improve user experiences, website functionality, and online services. Good bots only represent 13% of the total bots on the internet.

Search Engine Crawlers

  • Search engines use crawlers to discover, analyze, and index web pages. These bots help websites appear in search results and improve online discoverability.

AI Chatbots

  • AI-powered chatbots assist customers by answering questions, resolving support requests, and providing information 24/7.

Monitoring Bots

  • Monitoring bots continuously check websites, applications, and infrastructure for uptime issues, performance problems, or security concerns.

Feed Fetcher Bots

  • Feed bots collect and distribute content updates such as news articles, blog posts, weather alerts, and other real-time information.

Copyright Protection Bots

  • These bots scan the web for unauthorized copies of content, helping organizations protect intellectual property.

SEO and Backlink Bots

  • SEO tools use bots to crawl websites, analyze backlinks, identify technical issues, and evaluate search performance.

Types of Bad Bots

Click Bots

Click bots generate fake ad clicks and engagement signals to inflate advertising metrics.

These bots can:

  • Waste advertising budgets
  • Inflate click-through rates
  • Distort campaign reporting
  • Generate fraudulent affiliate commissions

Scraper Bots

  • Scraper bots extract content, pricing data, images, product information, or competitive intelligence from websites without permission.

Form Bots

  • Form bots automatically complete and submit online forms using fake, stolen, or fabricated information.
  • This often leads to:
    • Fake leads
    • Invalid registrations
    • CRM contamination
    • Wasted sales resources

Spam Bots

  • Spam bots flood websites, forms, comment sections, and inboxes with unwanted messages, phishing attempts, and promotional content.

Impersonator Bots

  • Impersonator bots mimic legitimate users by replicating browser settings, devices, locations, and behavioral patterns. These bots are frequently used to bypass traditional fraud detection systems.

Credential Stuffing Bots

  • Credential stuffing bots attempt to gain unauthorized access to accounts by testing stolen usernames and passwords across multiple websites.

Botnets

  • A botnet is a network of compromised devices controlled by a central operator.
  • Botnets are commonly used for:
  • Distributed denial-of-service (DDoS) attacks
  • Credential attacks
  • Fraud campaigns
  • Automated abuse at scale

Why Are Bots a Problem for Businesses?

Malicious bots can waste advertising spend and generate fake leads. When that activity enters campaign reports, businesses may make decisions based on engagement that never came from a potential customer.

Skewed Analytics

Bot traffic can distort key performance indicators including:

  • Click-through rate (CTR)
  • Conversion rate
  • Cost per acquisition (CPA)
  • Engagement metrics
  • Return on ad spend (ROAS)

When businesses make decisions based on inaccurate data, marketing performance suffers.

Advertising Fraud

Fraudulent bots generate clicks, impressions, and engagement that appear legitimate but provide no real business value.

Organizations may unknowingly pay for traffic that never had the potential to convert.

Fake Leads and Registrations

Bots frequently submit forms, create accounts, and generate low-quality leads that waste sales and support resources.

Security Risks

Malicious bots can:

  • Scrape sensitive information
  • Probe for vulnerabilities
  • Attempt account takeovers
  • Launch automated attacks
  • Participate in coordinated botnet activity

How to Prevent Malicious Bot Traffic

Preventing malicious bot traffic starts with identifying harmful automation accurately. Businesses need to detect fraudulent activity without treating every bot as a threat.

Effective bot mitigation strategies include:

  • Real-time traffic analysis
  • Behavioral monitoring
  • Device and browser fingerprinting
  • Environmental analysis
  • Source-level fraud identification
  • Network intelligence
  • Continuous threat monitoring

Traditional defenses such as CAPTCHAs may stop basic automation but are often ineffective against sophisticated AI-powered bots and human-assisted fraud operations.

How Anura Detects and Stops Bot Traffic

Anura helps businesses protect campaign performance by identifying fraudulent bot traffic. The platform analyzes visitors in real time to distinguish legitimate users from fraudulent traffic.

Source-level reporting helps teams see where that traffic is coming from so they can take action.

Key benefits include:

  • 99.999% accuracy guarantee when identifying visitors as BAD using Anura Script
  • Real-time fraud detection
  • Detailed visitor analysis
  • Source-level visibility
  • Easy implementation
  • Continuous platform improvements
  • Dedicated customer support

As bots continue to evolve, businesses need detection technology capable of identifying increasingly sophisticated forms of automation.

Protect Your Business From Bot Fraud

Understanding what a bot is and what botting looks like is the first step toward protecting your organization.

Accurately identifying malicious bots helps businesses protect advertising budgets and keep campaign data reliable. Anura helps teams identify fraudulent traffic and see where it originates.

Get your free traffic quality audit.

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