What do conversion rate optimization (CRO) and findability look like for an AI agent versus a human, and how different do your strategies really need to be?

More and more marketers are embracing the agentic web, and discovery increasingly happens through AI-powered experiences. That raises a fair question: what does CRO and findability look like for an AI agent compared with a human?

Several considerations matter, but the core takeaway is clear: serving people supports AI findability. AI systems are designed to surface useful, grounded information for people. Technical mechanics still matter, but you don’t need entirely different strategies to be findable or to improve CRO for AI versus humans.

What CRO looks like beyond the website

If a consumer does business directly through an agent or an AI assistant, your business needs to make the right information available in a way that can be understood and used. Your products or services need to be represented through clean, well-structured data, with information formatted in ways that downstream systems can process reliably.

As more people explore doing business with AI assistants, part of the work involves making sure your products and services can connect cleanly. Standards, such as Model Context Protocol (MCP), can help by enabling agents to interact with shared sources of information.

In many cases, a human may still decide to engage directly on a brand’s site. In that context, content and formatting choices matter. Whether you focus on paid media or organic, ensuring your humans can take desired actions — and will want to — is important.

Dig deeper: Are we ready for the agentic web?

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Optimization 1: How much text is on the page?

Old‑school SEO encouraged the idea that more keywords and larger walls of text would perform better. That approach no longer holds.

Wayfair does a great job using accessible fonts, a call to action when the user shifts to a transactional mindset, and easy-to-understand language.Wayfair does a great job using accessible fonts, a call to action when the user shifts to a transactional mindset, and easy-to-understand language.
Wayfair does a great job using accessible fonts, a call to action when the user shifts to a transactional mindset, and easy-to-understand language.

Both humans and AI systems tend to work better with clearly structured, modular content. Large blocks of uninterrupted text can be harder for people to scan and understand. Clear sections, spacing, layout, and visual hierarchy help users quickly understand what they can do and how to accomplish the goal that brought them to the page.

There’s no fixed minimum or maximum amount of text that works best. You should use the amount of content needed to clearly explain what you offer, why it’s useful, and what sets it apart.

A technical topic will need more text, broken into smaller paragraphs. There are great calls to action as well.A technical topic will need more text, broken into smaller paragraphs. There are great calls to action as well.
A technical topic will need more text, broken into smaller paragraphs. There are great calls to action as well.

A technical topic will need more text, broken…


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Last Update: March 3, 2026