An AI product page explains what a company's AI features or MCP server can do. Its job is to show the work and earn enough trust for someone to try it. See 89 real examples.
Showing 1–24 of 89 AI product pages
The questions a team asks when it designs a page for an AI feature or an MCP server, answered from the 89 here.


41% of AI feature pages name the model the feature runs on. The rest talk about what it does and leave the model out.


Claude is on nearly every one. Cursor and ChatGPT follow, and the long tail drops off fast after them.



24% of AI feature pages say how AI use is charged: credits, seats, or included in the plan.

Each sits under 15% of the market, with the strongest page that uses it.
6% of AI feature pages put a number on how accurate the AI is, or say where it falls short.

9% of MCP pages let the reader send an example prompt straight to an AI client in one click.


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Gabriel Amzallag , Founder, Web Anatomy
5 years CRO + SEO at Qonto (2021–2025). After advising 15+ SaaS on their websites (Payfit, Pigment…), the same patterns kept breaking, so I decided to build the source of truth on what works on the web: the intelligence layer every tool, builder, and team uses to ship sites that perform.
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The analysis behind every page here
Each AI product page on this page, section by section, with what works and what does not. Free account.
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The questions people ask before building a page for an AI feature or an MCP server, answered from 89 real ones.
The work itself. Four in five AI feature pages show real output: a screenshot, a sample or a demo of what the AI produced. Two in five name the model it runs on, and only about one in sixteen says how accurate it is.
Only about one in five do, which makes it one of the easiest ways to stand out. About half link to a security page, and a bit over a third say a person reviews what the AI does.
The AI clients it works with, first. Nearly every MCP page names Claude, about four in five name Cursor and about two in three name ChatGPT. Four in five link to the docs, about three in four show an example prompt, about four in ten list the tools by name and about one in three give a config snippet to copy.
Two in five AI feature pages do. The rest describe what the feature does and leave the model out, which also spares them a rewrite every time they switch models.
About one in four AI feature pages say how AI use is charged: credits, seats, or included in the plan. On MCP pages, fewer than one in ten put the server behind a paid plan.
This gallery is a visual browse: what AI product pages look like and what they contain. The best landing pages benchmark is the graded view, where pages are scored against conversion best practices and ranked by industry. Same companies, different question.