Website Access Policies for AI Agents Reveal High Blocks
A new Encore AI scan shows 22% of organizations block identified AI bots, challenging current agent-based data retrieval models.
Updated on Oct. 27, 2026 in Artificial Intelligence
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Encore AI has released a readiness scan evaluating how 2,037 organizations structure their websites for interactions with AI agents. The data reveals that 22% of these organizations actively block AI agents that identify themselves.
Why it matters
Understanding how organizations gatekeep web access is critical for AI developers as autonomous agents increasingly rely on public data. This scan quantifies the friction between site operators and AI, highlighting a baseline for how digital infrastructure currently manages automated ingress.
The index classifies organizations into three tiers: Trusted (2%), Connectable (6%), and Legible (61%). Methodology involves 24 automated checks of web files and six phone calls, excluding any pages requiring a login.
The players
Encore AI
A developer of AI infrastructure tools focused on evaluating and measuring the accessibility of web content for automated agents.
The details
The scan methodology relies on technical file interrogation and targeted telephone communication to determine site stance. A site is classified as Legible if it allows bot traffic, whereas Trusted or Connectable tiers imply specific, though unquantified, architectural accommodations for AI agent interaction. The analysis deliberately ignores content hidden behind login screens to focus strictly on public-facing internet architecture.
Timeline
October 2026: Encore AI completed its accessibility scans of organization websites.
The Tech Race
This scan benchmarks the current state of automated web access against data from the broader October 2026 site analysis. It provides a foundational look at how firms are positioning their digital assets in response to the rise of autonomous agent architectures.
Developers building AI agents should expect high friction when attempting to crawl roughly one in five organization sites. This current landscape mandates the development of alternative retrieval strategies for agents attempting to process information from sites that block identified traffic.
The takeaway
The majority of organizations are not yet optimized for automated agent interaction, with 22% actively blocking identified bots. Developers should track the evolution of the Trusted and Connectable classifications to see if a standardized access protocol emerges to replace current site-by-site blocking.
Further reading
For more on the development of bot-accessible infrastructure, visit Artificial Intelligence.
Source note: This article includes information reported by TokenPost.
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Should businesses allow AI agents to freely access and read their public websites?
