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Webflow for AI companies

A marketing site that keeps up with the product. Built to explain your product to buyers, search engines and answer engines, without sending every change back to engineering.

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The bigger picture

Keep engineers on the product.

Three systems, and the one in the middle

Webflow

The marketing site

  • Positioning, as content rather than markup
  • Use cases, comparisons and launches
  • The changelog
  • SEO and the machine-readable layer

The handoff

Where the two meet

  • Signup and demos
  • A live model call, through your API
  • Analytics events
  • Live product data

Your product

The model and the app

  • The model, and the API in front of it
  • Auth and accounts
  • Billing and usage
  • Anything with a cost per call
Everything on the marketing side is website work that should never reach the team building the product.

The story, as structure

Build the story as a system, not a homepage.

AI products change quickly. The site needs a structure for use cases, capabilities, comparisons and technical proof that can evolve without rewriting the homepage every time the product changes.

Product story One content model, many pages

Use cases

Models and capabilities

Comparisons and alternatives

Docs and resources

Use cases
The problems people actually arrive trying to solve.
Models and capabilities
What the product can do, stated concretely.
Comparisons and alternatives
How buyers evaluate it against the other approach.
Docs and resources
The technical proof behind the marketing claims.

People and machines

Make the product understandable to humans and machines.

A technical product should still make sense when the animation stops and the scripts are not running. I structure the site so buyers and machines can understand what the product does, who it is for, and how the important ideas relate.

Your product

One clear structure

  • Product
  • Use cases
  • Integrations
  • Docs
  • Proof

People

  • Understand the product
  • Compare it with the alternative
  • Find proof it works
  • Know what to do next

Machines

  • Identify the company and product
  • Understand the relationships
  • Retrieve supporting content
  • Surface a useful answer

What it connects to

The stack matters as much as the pages.

Webflow The marketing site

Decided early

Decisions that matter for an AI company.

  1. 01

    How often the positioning changes

    Build a structure that can absorb new capabilities, audiences and language without rebuilding the homepage.

  2. 02

    Whether the use cases are pages or a system

    A few can stay pages. A growing library needs a repeatable model.

  3. 03

    What needs to be shown, not described

    Use demos, diagrams or working examples only where they make the product easier to understand.

  4. 04

    What a machine needs to understand

    Keep important product meaning in the content and the structure, not only in animation or client-side presentation.

Before you ask

Questions from AI companies.

Can Webflow handle an AI company's marketing site?

Yes. Webflow runs the public marketing layer, which is the part that keeps changing, while the product, the authentication and anything reading live data stay in the systems built for them.

What reaches our product from the marketing site?

Only what you decide to send. A form posts to the system you name and analytics events go where you configure them. The marketing site does not read your product data and does not hold credentials, and anything that would have to belongs behind your product.

Can you build interactive product demos?

Yes, where interaction makes the product easier to understand: custom JavaScript, an embed, motion, or a small working demo. A production model call with your API key in the page does not belong on a public site, it belongs behind your product, and if a request crosses that line I will tell you.

How do you structure the site for AI search and answer engines?

Structured data that matches the page it sits on, and crawler rules that say what you mean, on top of the structure the section above describes. No single file or schema type is an answer-engine strategy.

Can our marketing team manage the site afterward?

Yes. Repeated content is modeled in the CMS and the components are built to be rearranged, so ordinary publishing does not need engineering. Most teams I hand a site to publish without opening the Designer.

Other industries

Building something else?

Reach out and see if we are a good fit.

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Currently booking two to four weeks out.