SEO vs. AI Bots: Policies Beyond robots.txt

Key Takeaways

1AI bots heavily tax servers, risking overload

2CMS plugins play a central role in setting SEO standards

3AI agents pursue varied objectives, making management complex

4Coordinated and revised bot policies are recommended

Why it matters : Managing AI bots can no longer be limited to robots.txt; it requires a concerted approach to protect infrastructure and maintain SEO visibility.

The diversity of AI-related robots is putting servers to the test and changing SEO practices. In light of the variety of access points and the differing consequences based on usage, managing through simple blocklists is no longer sufficient. Coordinated bot policies are recommended, incorporating access criteria, usage, and regular review.

AI Bots Overload Servers, and CMS Plugins Set the Rules

AI-related bots continue to heavily tax servers, which can lead to infrastructure overload. According to data from the Web Almanac, it is primarily the plugins of content management systems that largely determine technical standards in SEO, more so than industry professionals. A comprehensive list of AI user agent bots is expected to be announced by December 2025. These issues, along with practical approaches, were presented at the GEO Elite conference.

Implementation No Longer Relies Solely on robots.txt but on Infrastructure

The robots.txt file remains useful, but its implementation relies on the goodwill of the bots. In practice, the enforcement of rules depends on various layers of infrastructure such as CDNs, web application firewalls, or bot mitigation solutions, which may adopt distinct policies without necessarily informing the SEO team. This reality differs from the time when simply allowing or blocking crawler access was sufficient, a method now considered inadequate in the face of the rise of AI search.

Le brief IA que lisent les pros

Le brief IA que les pros lisent chaque soir

Les 7 actus IA du jour, décryptées en 5 min. Gratuit.

Inclus dès l'inscription : notre sélection des meilleurs guides & comparatifs IA.

Choisissez votre rythme

Gratuit · Pas de spam · Désabonnement en 1 clic

Multiple Access Points with Different Objectives and Distinct SEO Effects

Today, websites are visited by many types of agents, including traditional crawlers, bots dedicated to AI training, retrieval bots, user-initiated fetches, and autonomous agents. Although they are all grouped under the term AI bots, their purposes are diverse. Blocking a bot intended for model training does not have the same effects as blocking a bot tasked with collecting content to feed a search engine's responses. Autonomous agents, capable of simulating human browsing and triggering analytics tools, are becoming difficult to distinguish from actual visitors. Blocking an agent that performs product comparisons could result in a loss of ranking or the disappearance of certain responses.

Coordinated Bot Policies with Criteria and Continuous Review

Chris Green recommends shifting from blocklists to thoughtful bot policies. These policies should consider who accesses the content, for what reasons, and the consequences of allowing or blocking access. Their development involves SEO, engineering, security, legal, and commercial teams, and requires coordination, consistent application, and regular reviews. These positions were published in collaboration with Chris Green on AI Search Marketing.