For years, website optimization has centered on catering to search engine crawlers, such as Googlebot.
These bots index and understand your content, forming the bedrock of your organic search visibility. Now, we have a new species of bot in the ecosystem. These AI bots, from major players like Google, Microsoft, OpenAI, and others, are not just indexing for traditional search results.
“Now, we have a new species of bot in the ecosystem… these bots represent a new frontier for content visibility and audience reach.”
They are gathering data to train their models, answer user queries directly in AI-powered search results, and generate summaries that could either drive traffic to your site or, conversely, answer the user’s question without them ever needing to click through.
This shift has created tension. On one hand, these bots represent a new frontier for content visibility and audience reach. On the other hand, they introduce concerns about content scraping and a potential loss of direct traffic.
What Are AI Bots and How Do They Work?
AI bots are sophisticated software programs designed to crawl the web autonomously. Unlike traditional search engine crawlers, their purpose isn’t solely to create a search index.
AI bots analyze, understand, and extract information from web pages to train large language models (LLMs), generate conversational responses, and provide summarized answers to user queries.
“AI bots work by crawling, parsing, and synthesizing data – a bit like traditional crawlers – but their goal is to generate answers, not just index pages. They’re not just discovering URLs; they’re training models to understand and replicate your content.”
While some AI bots belong to major search engines and integrate with traditional SEO, others operate independently, gathering data for a wide range of applications from chatbots to data analysis tools.
This dual function is what makes them both a potential ally and a source of concern for website owners.
Which AI Bots Are Crawling Your Website in 2025?
The digital landscape is populated by a variety of AI bots, each with a distinct purpose.
The most prominent are associated with tech giants, such as Google-Extended, GPTBot (OpenAI’s bot), and CCBot (Common Crawl’s bot).
These bots are often transparent about their identity, using specific user-agent strings that allow you to identify them in your server logs. However, the ecosystem also includes a host of smaller, lesser-known bots from various start-ups and research institutions.
Understanding which bots are accessing your site is the first step in deciding on a content and blocking strategy, as it allows you to differentiate between legitimate players and those that may be operating without a clear purpose or with malicious intent.
SEO Agencies and the Shift to AI Search Strategy
AI bots present a complex challenge for SEO agencies, forcing them to re-evaluate their strategies and client communications.
Clients in a wide range of industries, from software development to public relations, are increasingly concerned about the implications.
Their worries often revolve around the potential for content scraping and how it might devalue their original content, as well as the risk of losing direct website traffic if an AI bot answers a user’s query without a click-through.
For SEO agencies, this means a shift from traditional keyword optimization to a more holistic approach focused on AI Search and Generative Engine Optimization.
This new approach also requires SEO agencies to educate clients on the changing digital landscape, providing them with a clear understanding of the risks and opportunities associated with AI bots.
Agencies are now tasked with implementing technical measures, such as adjusting robots.txt files and the new llms.txt files to control bot access.
This is in addition to developing content strategies that cater to traditional search engines and position the client as a verifiable, expert source for AI-generated summaries.
Who Blocks AI Bots and Why?
Industries most likely to block AI bots are those where content is a core business asset, such as news media, publishing, and other content-driven businesses.
The primary reasons for blocking AI bots are:
- to protect valuable intellectual property from being used to train AI models without compensation or attribution
- to prevent a loss of direct traffic and revenue when AI provides direct answers
- to manage server performance and avoid resource strain from excessive scraping
While the robots.txt file is the simplest method, it’s not foolproof, as malicious bots can ignore it. Similarly, llms.txt is simply guidance, and Google has explicitly said that it won’t be used.
Many employ more robust solutions, like web application firewalls and server-side blocking, to gain more control over their content and data.
Why Certain Industries Block AI Bots
Many companies are limiting bot access to protect their data, revenue, and users.
Publishing & Media
To protect intellectual property and maintain ad revenue. Publishers want traffic on their sites, not redirected to AI.
Examples: The New York Times, Associated Press, Reuters
Ecommerce
To shield unique product descriptions and pricing from competitors and data scraping tools.
Examples: Amazon and major retail platforms
User-Generated Content
To protect community-created content and licensed data from unrestricted scraping that could devalue their asset.
Examples: Reddit
High-Authority Data Sites
To control access to specialized, research-based content in sensitive industries like law, medicine, and finance.
Examples: Scientific, medical, legal, and financial websites
How Do You Block AI Bots?
The most common method for blocking AI bots is through the robots.txt file, a text file that provides directives to web crawlers.
“Robots.txt is a polite request, not a security gate. If you truly want to keep AI bots out, you’ll need to go beyond simple directives and implement server-side blocks or a WAF for real control.”
By adding specific lines, such as User-agent: GPTBot followed by Disallow: /, you can request that a bot refrain from crawling certain parts of your site.
However, this method is merely a request and is not legally or technically binding. While reputable bots will honor these directives, malicious or unethical bots may simply ignore them.
For a more robust solution, website owners can implement web application firewalls (WAFs) or use server-side blocking rules based on a bot’s IP address or user-agent string. These methods offer greater control but require more technical expertise and ongoing management.
In fact, in July 2025 Cloudflare began blocking AI crawlers by default. This means many clients may have become invisible to LLMs without their marketing teams even realizing it. In this clip, SUSO’s Jamie Stanley and a PR and communications expert, Andrew Bruce Smith, discuss why verifying these settings is now a mandatory step for any agency protecting a client’s AI visibility:
The Risks of Blocking AI Bots
The argument against blocking AI bots is rooted in the fundamental principles of SEO and digital visibility. To cut yourself off from these crawlers is to potentially cut yourself off from a significant portion of the modern web.
Content Visibility and Discoverability are Paramount
The most significant reason to allow AI bots access is to ensure your content remains discoverable. Google’s Search Generative Experience (SGE) and other AI-powered search features rely on these bots to understand and summarize your content.
Blocking them is like telling Google you don’t want to be included in these new search formats. This directly impacts your ability to appear in featured snippets, AI-generated summaries, and other prominent search result features.
In a world where search is becoming more conversational and AI-driven, opting out of this new reality is a sure fire way to lose market share.
Crucial Ranking Signals and a Complete SEO Picture
Search engines are continuously evolving their algorithms to understand user intent and content quality. Data gathered by their AI bots contributes to their overall understanding of your website.
By blocking these crawlers, you might be preventing search engines from getting a complete, holistic view of your content.
This could lead to a misinterpretation of your site’s authority, relevance, and overall value, potentially impacting your traditional organic rankings as well. In essence, you’re tying the hands of the very systems that are meant to promote your content.
Expanding Your Audience Reach Beyond Traditional Search
AI bots aren’t just about search results. They power voice assistants like Google Assistant and Alexa, personalized news feeds, and a myriad of other platforms. Your content, once indexed by these bots, has the potential to be distributed across this vast network.
A user asking their smart speaker a question about a topic you’ve written about could be served a summary of your content, leading them to your site for more information.
Blocking the bots that enable this distribution is a missed opportunity to connect with a wider, more diverse audience.
The Case for Blocking AI Bots
While we generally advise against blocking AI bots, we also acknowledge the legitimate concerns that fuel this debate.
Protecting Your Content from Unattributed Use
Many content creators’ primary concern is the fear of their work being scraped and used to train AI models without proper attribution or compensation. This is a valid and pressing issue in the digital age. However, blocking a bot via your robots.txt file is a limited solution.
Malicious actors and unethical AI companies can easily ignore these directives. Furthermore, the most prominent AI bots from Google and Microsoft are already part of a system that links back to your original content.
The battle against content scraping is far more complex than simply blocking a bot; it requires a multi-faceted approach involving legal frameworks, technological solutions, and a strong online presence that establishes your content as the authoritative source.
Server Performance and Traffic Management
In rare cases, a high volume of bot traffic can indeed strain server resources. However, it’s crucial to distinguish between legitimate, well-behaved bots and malicious ones.
Reputable AI companies are typically mindful of server load and follow established crawl patterns. If you’re experiencing performance issues, the solution is often not to block a legitimate bot but to optimize your website’s performance, improve your server infrastructure, or implement a content delivery network (CDN). Blocking a bot is a blunt instrument that often creates more problems than it solves.
Our Verdict: A Smart Strategy for the AI Age
SUSO’s verdict is clear: unless you have a specific technical reason, we generally advise against blocking legitimate AI bots. The SEO benefits of being indexed, discovered, and distributed by these tools far outweigh the potential risks and the limited effectiveness of blocking.
A smarter, more proactive strategy is to embrace the new AI-powered landscape.
The Big Picture
The future of search is intertwined with AI. By allowing legitimate AI bots to crawl your site, you are not just safeguarding your existing SEO; you are positioning your website for success in the next generation of the internet.
The conversation is not about blocking, but about adapting, optimizing, and ensuring your content remains at the forefront of a dynamic and exciting digital world.
