Cyrus S., who previously led global SEO at a major tech company and now publishes commentary on search and AI growth, shared today the figures from Cloudflare Radar that have drawn significant attention across the marketing community. The data, covering a seven-day window ending June 5, 2026, shows bots accounting for 57.4% of web traffic to HTML content, with human visitors at 42.6%. The crossing of the 50% threshold, according to Cyrus S., happened “much faster than expected……Continue reading…
By: Luis Rijo
Source: PPC Land
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Critics:
Internet bots are able to perform simple and repetitive tasks much faster than a person could ever do. The most extensive use of bots is for web crawling, in which an automated script fetches, analyzes and files information from web servers. More than half of all web traffic is generated by bots. Efforts by web servers to restrict bots vary. Some servers have a robots.txt file that contains the rules requesting how bots should behave on website.
Any bot that does not follow the rules could, in theory, be denied access to the affected website, while in practice, a website owner cannot force a bot to follow the rules or ensure that a bot’s creator or implementer reads or acknowledges the robots.txt file. Some bots are “good”, e.g. search engine spiders, while other “bad” bots are used to launch malicious attacks on websites or applications, such as political campaigns.
Some bots communicate with users of Internet-based services, via instant messaging (IM), Internet Relay Chat (IRC), or other web interfaces such as Facebook bots and Twitter bots. These chatbots may allow people to ask questions in plain English and then formulate a response. Such bots can often handle reporting weather, postal code information, sports scores, currency or other unit conversions, etc.
Others are used for entertainment, such as SmarterChild on AOL Instant Messenger and MSN Messenger. Additional roles of an IRC bot may be to listen on a conversation channel, and to comment on certain phrases uttered by the participants (based on pattern matching). This is sometimes used as a help service for new users or to censor profanity. Social bots are sets of algorithms that take on the duties of repetitive sets of instructions in order to establish a service or connection among social networking users.
Among the various designs of networking bots, the most common are chat bots, algorithms designed to converse with a human user, and social bots, algorithms designed to mimic human behaviors to converse with patterns similar to those of a human user. The history of social botting can be traced back to Alan Turing in the 1950s and his vision of designing sets of instructional code approved by the Turing test.
In the 1960s Joseph Weizenbaum created ELIZA, a natural language processing computer program considered an early indicator of artificial intelligence algorithms. ELIZA inspired computer programmers to design tasked programs that can match behavior patterns to their sets of instruction. As a result, natural language processing has become an influencing factor to the development of artificial intelligence and social bots.
And as information and thought see a progressive mass spreading on social media websites, innovative technological advancements are made following the same pattern. Reports of political interferences in recent elections, including the 2016 US and 2017 UK general elections, have set the notion of bots being more prevalent because of the ethics that is challenged between the bot’s design and the bot’s designer.
Emilio Ferrara, a computer scientist from the University of Southern California reporting on Communications of the ACM, said the lack of resources available to implement fact-checking and information verification results in the large volumes of false reports and claims made about these bots on social media platforms. In the case of Twitter, most of these bots are programmed with search filter capabilities that target keywords and phrases favoring political agendas and then retweet them.
While the attention of bots is programmed to spread unverified information throughout the social media platforms, it is a challenge that programmers face in the wake of a hostile political climate. The Bot Effect is what Ferrera reported as the socialization of bots and human users creating a vulnerability to the leaking of personal information and polarizing influences outside the ethics of the bot’s code, and was confirmed by Guillory Kramer in his study where he observed the behavior of emotionally volatile users and the impact the bots have on them, altering their perception of reality.
There has been a great deal of controversy about the use of bots in an automated trading function. Auction website eBay took legal action in an attempt to suppress a third-party company from using bots to look for bargains on its site; this approach backfired on eBay and attracted the attention of further bots. The United Kingdom-based bet exchange, Betfair, saw such a large amount of traffic coming from bots that it launched a WebService API aimed at bot programmers, through which it can actively manage bot interactions.
Bot farms are known to be used in online app stores, like the Apple App Store and Google Play, to manipulate positions or increase positive ratings/reviews. A rapidly growing form of internet bot is the chatbot. From 2016, when Facebook Messenger allowed developers to place chatbots on their platform, there has been an exponential growth of their use on that app alone. 30,000 bots were created for Messenger in the first six months, rising to 100,000 by September 2017.
Avi Ben Ezra, CTO of SnatchBot, told Forbes that evidence from the use of their chatbot building platform pointed to a near future saving of millions of hours of human labor as ‘live chat’ on websites was replaced with bots. Companies use internet bots to increase online engagement and streamline communication. Companies often use bots to cut down on cost; instead of employing people to communicate with consumers, companies have developed new ways to be efficient.
These chatbots are used to answer customers’ questions; for example, Domino’s developed a chatbot that can take orders via Facebook Messenger. Chatbots allow companies to allocate their employees’ time to other tasks. One example of the malicious use of bots is the coordination and operation of an automated attack on networked computers, such as a denial-of-service attack by a botnet.
Internet bots or web bots can also be used to commit click fraud and more recently have appeared around MMORPG games as computer game bots. Another category is represented by spambots, internet bots that attempt to spam large amounts of content on the Internet, usually adding advertising links. More than 94.2% of websites have experienced a bot attack.
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