Omnichannel Digital Marketing
57.4% of web requests are bot traffic, which can distort analytics data, waste server resources, increase security risks, and affect marketing decisions. But not all bots pose the same risk
In this post, SotaMedia will explain why bot traffic is growing; how to distinguish human, good bot, and bad bot traffic, how to protect your website from bad bot traffic, and how businesses can turn legitimate bot activity into an SEO opportunity.
Key takeaways
- The development of AI agents and crawlers for AI training are the main reasons for the increase of bot traffic
- Good bots like Googlebot and GPTBot help improve indexing and search visibility, while bad bots can scrape content, commit ad fraud, distort analytics, and waste server resources.
- Use robots.txt, Cloudflare WAF, rate limiting, geo-blocking, and GA4 bot filtering to reduce unwanted bot traffic.
- Make your content easier for AI to discover by citing with data, updating fresh information, and writing high-value formats such as Best, How-to, or VS content.
What is bot traffic?
Bot traffic is the traffic from automated software programs instead of real users. Bots can perform tasks ranging from simple website crawling to more complex activities such as data extraction, ticket booking, price monitoring, and completing actions on behalf of users.
Types of bot traffic: good bots vs. bad bots
|
Category |
Description |
Examples |
|
Good Bot Traffic |
Automated traffic from helpful bots that support search engines, AI tools, and website operations. |
Googlebot, Bingbot, GPTBot, ClaudeBot, Perplexity Crawler, Meta External Agent, Applebot, SEO auditing bots, website monitoring bots, feed aggregators |
|
Bad Bot Traffic |
Automated traffic from bots that steal data, create fake activity, abuse systems, or disrupt websites. |
Credential stuffing bots, scraper bots, click fraud bots, scalper bots, fake account bots, spam bots, inventory hoarding bots, DDoS bots, account takeover bots |
What is human traffic?
Human traffic is website traffic generated by real users through web browsers, mobile applications, or connected devices. Some features of human traffic include the following:
- Longer page reading and browsing sessions.
- Behaviors cannot be entirely predictable
- The ability to convert into customer
- The mouse movement, page scrolling, and on-page interactions are more natural.
What is the difference between human traffic and bot traffic?
|
Factor |
Human Traffic |
Good Bot Traffic |
Bad Bot Traffic |
|
Who generates it? |
Real users browsing websites |
Legitimate bots from search engines, AI platforms, and monitoring tools |
Malicious bots designed to exploit websites |
|
Purpose |
Read content, research, shop, or complete actions |
Index content, retrieve information, monitor website performance |
Scrape data, commit fraud, spam, or disrupt services |
|
Behavior |
Unpredictable and varies by user |
Follows predefined crawling or monitoring patterns |
Often generates excessive, repetitive, or suspicious requests |
|
Interaction with content |
Clicks, scrolls, reads, and converts naturally |
Typically crawls or accesses content without human-like engagement |
May generate fake clicks, fake visits, or automated actions |
|
Business impact |
Can generate leads, sales, and revenue |
Improves visibility in search engines and AI platforms |
Can increase costs, distort analytics, and create security risks |
|
Examples |
Website visitors, customers, readers |
Googlebot, GPTBot, ClaudeBot, Bingbot, Applebot |
Scraper bots, click fraud bots, spam bots, credential stuffing bots |
Why bots now own the Internet
Because of the growth of AI agents and crawlers, bot traffic now makes up the majority of web activity. But not all automated traffic is harmful. Understanding where bot traffic comes from will help you protect your systems and take new opportunities in AI-driven search.
The rise of AI agents
The major percentage of web traffic comes from bots.
Consumers increasingly use AI tools such as ChatGPT, Claude, and Perplexity to research products, compare options, and find answers without visiting multiple websites.
At the same time, AI agents are developing beyond search. Instead of simply retrieving information, they can browse websites, compare products, complete forms, manage accounts, and execute transactions on behalf of users.
The growth is significant. Traffic from AI agents and agentic browsers increased 7,851% year over year in 2025, making it the fastest-growing category of AI-driven web traffic. Besides, automated systems now generate 57.4% of web requests, while human users account for 42.6% (Cloudflare). These figures show that bots have become the majority of users of the web.
AI crawlers need massive amounts of data
Much bot traffic comes from AI crawlers collecting data to train models, update knowledge bases, and monitor changes across the web. In 2025, training crawlers accounted for 67.5% of all AI-driven traffic, making them the largest source of AI activity online.
Moreover, AI systems increasingly need up-to-date web data to refresh their knowledge and provide accurate information for users. This is driving crawlers to collect frequently changing data such as product pricing, breaking news, reviews and ratings, etc.
When AI-powered search becomes more common, businesses should change their SEO strategy from seeking real users’ traffic to AI’s traffic.
Is bot traffic bad for your website?
It becomes a bad thing if more bad bots are involved for some reasons below:
More bad bot traffic can negatively affect the decision-making procedure of businesses.
- Fake engagement: Bots can generate artificial likes, follows, reviews, downloads, and website visits, making marketing performance appear stronger than it actually is. This can distort SEO dashboards and analytics and lead to poor business decisions.
- Ad fraud and wasted ad spend: Click bots can generate fake clicks, impressions, leads, and conversions. As a result, businesses may waste advertising budgets on non-human traffic while campaign data becomes increasingly unreliable.
- Competitor click fraud: In some cases, bots are used to repeatedly click a competitor’s PPC ads, increasing advertising costs and exhausting daily budgets without generating real customers.
- Data scraping and business abuse: Bots can scrape product prices, copy website content, collect customer data, hoard inventory, or reserve tickets at scale, creating operational and competitive challenges for businesses.
How to stop bad bot traffic on a website
Method 1: Use a robots.txt File (Works for Most Websites)
A robots.txt file provides instructions to bots about which parts of a website they should or should not crawl. It can be used to manage access for specific crawlers, including certain AI bots.
Step 1: Open your hosting File Manager, such as cPanel, or connect to your website through FTP.
Step 2: Create or edit the robots.txt file in your website’s root directory, typically the public_html folder.
Step 3: Add rules like the following to restrict access for selected AI crawlers and limit bot access to sensitive areas:
User-agent: GPTBot
Disallow: /
User-agent: ClaudeBot
Disallow: /
User-agent: Bytespider
Disallow: /
User-agent: CCBot
Disallow: /
User-agent: anthropic-ai
Disallow: /
User-agent: Google-Extended
Disallow: /
User-agent: *
Disallow: /wp-admin/
Allow: /wp-admin/admin-ajax.php
Step 4: Save the changes and verify the configuration by visiting yourdomain.com/robots.txt in your browser.
Important: robots.txt is an instruction mechanism, not a security control. Legitimate crawlers such as Googlebot and Bingbot generally follow these directives, but malicious bots can ignore them completely. For stronger protection, combine robots.txt with measures such as WAF rules, rate limiting, and bot management.
Once the bot-blocking measures are in place, monitor your website to determine whether they are reducing unwanted traffic without affecting legitimate users.
- Review server logs: Check files such as access.log to see whether requests from blocked bots have decreased.
- Monitor website performance: Track metrics such as page load speed and hosting bandwidth usage to identify performance improvements after filtering bad bot traffic.
Method 2: Using Cloudflare to block bad bot traffic
Cloudflare can filter suspicious bot traffic using Bot Management, WAF rules, User-Agent detection, and rate limiting.
cf.bot_management.score < 30
Blocks or challenges requests with a low bot score, which indicates a higher likelihood of automated traffic.
http.user_agent contains “python”
or http.user_agent contains “curl”
or http.user_agent contains “scrapy”
Blocks common tools used by automated scripts. Avoid blocking “bot” broadly because legitimate crawlers may also use it.
http.request.uri.path contains “/wp-login.php”
Blocks or challenges suspicious requests targeting login pages and other high-risk endpoints.
ip.geoip.country in {“CN” “SG”}
Blocks or challenges traffic from specific countries when they are outside your target market.
Path: /login
Limit: 10 requests/minute/IP
Uses rate limiting to restrict repeated requests and reduce brute-force or automated attacks.
How to filter bad bot traffic in Google Analytics 4
Enable “Exclude all hits from known bots and spiders” to remove common bots from your Analytics reports.
- Create filters to exclude internal IP addresses and known bot IPs.
- Monitor unusual patterns, such as sudden traffic spikes without conversions, zero time on page, or abnormal bounce rates.
Analyze traffic behavior
- Check for IP addresses sending hundreds of requests within a few minutes.
- Monitor unusual login attempts, form submissions, or API calls.
- Use device fingerprinting, session tracking, and bot detection tools to identify automated traffic.
How Can Businesses Benefit From Growing Bot Traffic?
While bad bots create security and marketing challenges, good bots can help businesses improve AI search visibility, increase AI citations, and reach potential customers through emerging AI-powered discovery channels. Here are some tips that can help you benefit from good bot traffic
- Make Content Accessible to AI Crawlers: Marketers should use clear headings and structured content and give the answer early in the post. This is easy for AI systems to understand and extract information more accurately.
- Optimize for AI Citations: Website content should show a unique and new perspective of the writer, combining and adding statistics from research to increase the credibility of your websites. Besides, building topical authority around key subjects also helps AI platforms recognize your brand as a trusted source.
- Always updating new information: AI assistants prefer to cite content that is 25.7% newer
- Prioritize AI-friendly content formats. Across websites, “best” roundups (7.06% of AI traffic), how-to guides (6.35%), “top” lists (5.5%), “vs” comparisons (4.88%), and product/service pages (4.5-6.8%) consistently attract a larger share of AI-driven traffic. (Arefs)
Conclusion
Bot traffic is reshaping how businesses manage website security, performance, analytics, and search visibility. The goal isn’t to block every bot. It’s to distinguish legitimate crawlers from harmful automation and apply the right controls to each.
If you’re looking to turn cleaner traffic data into better marketing decisions, SotaMedia can help you build a data-driven omnichannel digital marketing strategy focused on reaching and converting the right audience.
Frequently asked questions
Use your server or CDN logs and analytics tools to compare human and automated requests. Look for unusual spikes, repetitive requests, high request rates, and suspicious user-agent or IP patterns.
Yes. Meta uses crawlers to check websites for functionality, compliance, and content changes. If you see repeated traffic from Council Bluffs, it may be Meta's crawler activity.
se a WAF geo rule to block or challenge traffic from them. You can also rate-limit forms and APIs to prevent automated requests from overwhelming your site.
Not all traffic shown in analytics represents real users. Check engagement metrics, server logs, IP addresses, user agents, and request patterns to distinguish human visitors from bots.
High bot traffic can consume server resources, slow page load times, increase infrastructure costs, and interfere with analytics. Aggressive bots can also overwhelm APIs, forms, and search functions.
You can block known malicious bots, but blocking every bot is usually not recommended. Search engines, social platforms, and other legitimate services also use crawlers to access your site.
Use bot filtering and exclude known automated traffic in your analytics platform. For persistent traffic that bypasses basic filters, combine analytics rules with server or CDN-level filtering.
