What Are the Uses and Risks of Bots on Websites?

Website bots are not necessarily bad traffic: search crawlers can help index content, chatbots can support customer service, and some AI agents browse websites on behalf of real people. But automation can also lead to data theft, inflated engagement, distorted analytics, and server strain. Assessing uses and risks requires looking beyond whether something is a bot to consider what tasks it performs, how it makes requests, and whether it delivers identifiable value to users.

Search and Content Crawlers: Helping with Indexing but Potentially Consuming Resources

A 2021 overview on Neil Patel’s website describes bots as programs that repeatedly perform data-related tasks, citing search engines’ use of bots to index websites as a useful example. However, search indexing and extracting content for model training serve different purposes.

A June 2026 report from Search Engine Journal noted that AI systems extract content for training and reassemble it into answers without source attribution, raising concerns about content use and intellectual property rights. This is a discussion of risks, not a claim that every instance of extraction constitutes infringement.

• Resource strain: Crawlers that repeatedly trigger resource-intensive functions may slow the site down for regular visitors.
• A specific scenario: Shopping cart requests typically bypass caching and, depending on the site’s architecture, may trigger database queries, code execution, and session processing.
• Not necessarily malicious: The same report described cases in which crawlers followed different URL variants and became trapped in inefficient loops. Such problems may also stem from inadequate design or safeguards.

Customer Service Chatbots: Service Tools Websites Choose to Offer

Bots do not only visit websites from outside; they can also be features that websites provide. The 2021 overview mentioned above uses e-commerce chatbots to illustrate how brands can improve customer service through human–machine interaction. This use differs from search crawling, and such tools should not be lumped together with attack programs as things to block. However, the example does not mean that all chatbots can achieve the same results.

AI Agents: Potentially Representing Real People’s Needs but Also Distorting Metrics

Search Engine Journal noted in October 2026 that some visits involve a mix of human and agent participation, or agents acting on people’s behalf, and may therefore still have value for websites. “Not directly operated by a human” does not mean “without value.”

On the other hand, Seer Interactive warned in July of the same year that agents may add items to shopping carts or fill out forms without representing genuine purchase intent, and may also distort engagement, bounce rate, and time-on-site metrics. The article therefore recommended combining log analysis, behavioral tracking, and bot management tools to distinguish human visits, AI-assisted visits, and agent requests, and to track their conversions separately.

Malicious Bots and Bots That Inflate Metrics: Risks to Security and Trustworthiness

Neil Patel’s overview lists another category of uses: attacking websites, stealing passwords or personal information, and generating large volumes of comments, purchases, or social interactions to inflate metrics. These activities may push numbers up, but that does not establish that a website is more popular with real people.

Protection is not simply a matter of blocking everything, either. Tenten’s 2025 overview of detection technologies cautioned that systems may mistakenly block legitimate traffic, while advanced crawlers may mimic humans to evade detection. Website administrators still need to review traffic regularly and adjust their strategies to actual conditions.