An AI agent is software built on a large language model that does more than answer a single question — it can plan a task, search the web, visit pages, read and compare what it finds, and then act or recommend. Examples include ChatGPT with browsing, Perplexity, Google's AI Mode, and emerging "computer use" agents like OpenAI's Operator and Anthropic's Claude.
Unlike a search engine that hands a user ten links to evaluate, an agent collapses that work into a decision. It chooses which sources to trust, synthesises an answer, and increasingly completes the next step too — booking, buying, or shortlisting a supplier — without the person ever opening your website.
A user asks ChatGPT, "Find me a reliable bookkeeper in Utrecht." The agent searches, visits several firms' sites, reads their structured data and About pages, and returns three names with summaries — picking the businesses it could understand clearly.
Why this matters for AI findability
If an agent can't quickly understand who you are and what you offer, it simply leaves you out of its shortlist. Agentic findability is about making your site legible to these agents so you end up among the options they recommend, not invisible behind a competitor who prepared better.