Good Bots vs. Bad Bots: What’s the Difference?

Good Bots vs. Bad Bots: What’s the Difference?

Imagine logging into your analytics dashboard and seeing a surge in website traffic—only to realize it’s not real users but bots flooding your site.

Not long ago, this might have sounded like something out of a sci-fi movie, but today, bots— software-driven agents that automate digital tasks—are everywhere, operating at a speed and scale humans simply cannot match. According to some reports, they now account for nearly half of all online activity

But that’s not to say all bots are the same. In fact, they vary widely in purpose, behavior, and impact—some can benefit your site, while others can harm it. With that in mind, distinguishing between “good” and “bad” bots and effectively managing their activity has become a key part of protecting site performance, security, and reliability. 

In this article, we’ll explain what bots are, how they impact websites, and the best strategies for managing them. Here’s what we’ll cover:

What are bots? A woman's hands with smartphone, AI bot conversation.

Bots 101: What are they
and how do they work?

Bots (short for “robots”) are software applications programmed to perform automated tasks online. They operate without direct human intervention, executing repetitive or large-scale functions faster and more efficiently than human capabilities allow. 

Bots are already used across industries for a variety of tasks, including: 

  • Search engines rely on bots to index web pages and rank search results. 
  • Businesses use them for customer service chatbots that provide 24/7 support. 
  • Financial markets deploy bots to execute stock trades in milliseconds. 
  • Web monitoring services use bots to track website uptime and detect fraud. 
  • Social media platforms rely on bots to automate content distribution and engagement tracking. 

While bots are often used for helpful tasks, their impact depends on how they’re designed and deployed. Some enhance efficiency and improve user experiences, while others are built with malicious intent, engaging in activities like data scraping, spamming, and cyberattacks.  

Understanding this distinction is critical for maintaining a secure and functional online environment.


Rise of the helpful bots:
Good bots and their benefits

Good bots are those that operate with transparency, follow ethical guidelines, and enhance digital experiences—and they’ve been around since the earliest days of the internet. 

One of the first and most important types of bots, search engine crawlers, helped organize the web and made information more accessible. Over time, bots expanded into a wide range of functions, from customer support to security monitoring, and many other use cases, some of which are listed below

Overall, good bots are typically designed to assist users, improve digital services, and provide valuable data without disrupting online ecosystems. 

Here are a few common types: 

  • Search engine crawlers: Googlebot, Bingbot, and other search engine crawlers scan and index web pages to provide relevant search results.
  • Chatbots and virtual assistants: AI-powered bots like ChatGPT and Google’s Gemini help users answer questions, automate customer service, and generate content.
  • Monitoring and performance bots: Services like UptimeRobot and Google Lighthouse analyze website speed, security, and uptime.
  • Feed fetchers: Bots like Feedly fetch RSS feeds to help users stay updated with content from different websites.
  • Content aggregators: Platforms like Google News use bots to gather news articles and deliver relevant stories to users.

Good bots generally adhere to industry standards, respect website preferences, and avoid overburdening servers. 

However, not all bots are benign; some are designed with malicious intent, often masquerading as legitimate traffic to evade detection.


The dark side of automation:
Bad bots and their threats

Not all bots are friendly—some are downright bad. These types of bots are typically programmed to disrupt website functionality, steal data, and manipulate online services. 

Unlike more ethical or good bots, bad bots often ignore accepted rules, evade detection, and operate with harmful intent. Here are some of the most common types:

Did you know? Some eCommerce platforms battle scraper bots daily, as competitors attempt to undercut prices in real-time.

  • Spam bots: Automated scripts that flood websites, forums, and social media with fake comments, reviews, and messages, cluttering platforms and damaging credibility.
  • Credential stuffing bots: Cybercriminals use these bots to test stolen usernames and passwords across multiple sites in an attempt to gain unauthorized access.
  • DDoS attack bots: These bots overwhelm a website with excessive traffic, causing slowdowns or crashes.  In 2016, a massive DDoS attack powered by the Mirai botnet took down major sites like Twitter, PayPal, and Netflix.
  • Ad fraud bots: Designed to mimic human clicks on ads, these bots generate fake traffic, deceiving advertisers and wasting marketing budgets.

Since bad bots often disguise themselves as legitimate traffic, detecting and mitigating their impact often requires advanced security measures.


Beyond human: Bot traffic explained

Bot traffic refers to any non-human interaction with a website, whether from good or bad bots. 

From search engines indexing pages to cybercriminals attempting account breaches, bots interact with websites in countless ways—some helpful, others harmful.  

Given the high percentage of bot activity on the web (and no sign of it abating), website owners should monitor bot activity carefully—both to capitalize on beneficial automation and to protect against the risks posed by malicious bots. 

How bot traffic impacts websites

As noted, some bot traffic is beneficial, however, excessive or malicious bot activity can create significant challenges for website owners. 

Bots can influence everything from search engine visibility to security vulnerabilities and infrastructure costs. When left unchecked, bot traffic can distort analytics, degrade user experience, and even lead to system outages. 

Understanding how different types of bots affect a website is essential for managing their impact effectively. Here’s a breakdown: 

  • SEO and indexing: Good bots from search engines help websites rank in search results, but excessive bot traffic can slow down site performance.
  • Security threats: Malicious bots can attempt to breach security measures, steal data, or disrupt services.
  • Analytics distortion: High bot traffic can inflate website metrics, making it difficult to analyze real user behavior.
  • Server strain: A surge in bot activity, even from good bots, can consume bandwidth and increase server costs.

Separating friend from foe:
How to manage bots effectively

Since not all bot traffic is harmful, the goal is to allow beneficial bots while blocking or mitigating the impact of malicious ones. 

Striking this balance is key—overly aggressive bot-blocking measures can interfere with useful automation, while lax security can leave a site vulnerable to scraping, spam, or cyberattacks.

To manage bots effectively, it’s critical to first understand how bots interact with your website—look for unusual traffic spikes, repetitive requests, or traffic originating from unexpected locations. 

Once you have visibility into bot behavior, you can implement a layered defense strategy that protects against harmful activity while allowing beneficial bots to operate. 

Here are a few key strategies to manage bots effectively: 

Use robots.txt to control bot access 

The robots.txt file tells search engine crawlers which pages they can and cannot access. While good bots follow these instructions, bad bots often ignore them. 

To make the most of this tool, ensure your robots.txt file is properly configured, restricting access to sensitive or unnecessary pages while allowing essential indexing. 

You can also go beyond basic configurations and use the Crawl-delay directive to limit how frequently bots request pages, preventing unnecessary server strain. More technical users can pair robots.txt with server-side access controls (like .htaccess rules or Nginx configurations) to block specific user agents or IPs known for bot abuse.

Implement bot detection tools 

Services like Cloudflare, Akamai, and reCAPTCHA use behavioral analysis and machine learning to detect and filter out bad bots. These tools can differentiate between human users and automated scripts, reducing the risk of fraud, spam, and unauthorized access.

Make sure these solutions are configured to suit your website’s traffic patterns, balancing security with user experience. You can also enable bot scoring and challenge-response tests with tools like Cloudflare’s Bot Score API or Google’s reCAPTCHA Enterprise, which both challenge suspicious visitors dynamically. 

Overall, as bot traffic continues to rise, employing some type of bot detection solution (or solutions) has become a near-necessity for many websites.   

Monitor website traffic for anomalies 

Unusual spikes in traffic, increased failed login attempts, or excessive page requests may indicate bot activity. While automated alerts will notify you of suspicious activity, web analytics tools can also help track these patterns. 

Ultimately, combining multiple data sources is key for effective monitoring. Instead of relying solely on Google Analytics, use server logs, real-time monitoring, and SIEM tools (like Splunk or Datadog) to get a complete picture of bot traffic. 

You can also look for “low engagement, high volume” traffic. Bots often generate high pageviews but have low session durations and zero interaction events.

Use rate limiting and firewalls 

Rate limiting restricts the number of requests a single user or bot can make within a given timeframe, helping prevent excessive scraping, credential stuffing, and brute-force login attempts. 

Web Application Firewalls (WAFs) block known malicious bots before they reach your site.

Both can help you keep up with emerging threats, but it’s important to ensure your rate limits are set up correctly and your firewall rules are updated regularly. You can also implement geofencing rules to restrict bot-heavy traffic from specific regions where you don’t expect legitimate visitors.

For more advanced use cases, you can employ device fingerprinting in tandem with rate limiting. Bots often rotate IPs, but they struggle to change browser characteristics—detect patterns in user-agent strings, screen resolutions, and browser plugins to identify repeat offenders.

Leverage bot management solutions 

Advanced security solutions offer bot management tools that dynamically distinguish between good and bad bots. Unlike static blocking measures, these tools continuously adapt to evolving bot tactics and minimize false positives. 

Consider using adaptable solutions that can respond to evolving bot behavior, and integrate them with existing security measures to create a multi-layered defense against malicious traffic. 

You may also consider tools that offer API security features—if your website uses public APIs, it’s important to ensure you have token-based authentication, rate limiting, and anomaly detection for API endpoints. Bots often target APIs instead of web pages for easier data extraction.

By applying these strategies, businesses can minimize the risks associated with bad bots while allowing helpful bots to continue improving search visibility, website performance, and user experience.


Conclusion: Finding the right bot balance

Bots are an integral part of the internet, but distinguishing between good and bad bots is critical for website security and performance. 

While search engines and AI assistants use bots to enhance digital experiences, malicious bots pose serious risks to businesses and users alike. The key to effective bot management is finding the right balance—allowing good bots to operate while blocking the harmful ones. 

By monitoring traffic, using firewalls, and deploying bot detection tools, organizations can protect their websites and ensure a secure, efficient online experience.

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