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AI SEO site builder

SEO decided at the page plan, before anything is designed

Quietly derives the section list for a page from real search demand, then generates against it. The optimization work happens where the structure is decided, which is the only place it can still change the structure.

Page planbefore any code
Every section names the demand that put it there
keywordHerovol 2.4k · commercial
conversationHow it worksasked 7 times
gscPricingposition 12
structureFooterno demand signal
25
Tools in one build conversation
Plan, design, generate, critique, media, deploy
6
Hero mediums to choose between
Image, coded, WebGL shader, kinetic type, Three.js, video loop
WCAG AA
Contrast standard the design system is held to
With an 8-point grid and a modular type scale

Proof in the workflow

Sections carry their evidence

The page plan names, per section, the keyword volume, search intent, community question or Search Console query that put it there. You can argue with the plan before a layout exists.

The plan outlives the first build

It is stored on the project and injected into every later build call, so iterating on copy or design does not quietly dissolve the structure the research justified.

The build critiques itself

Before reporting done, the model must file a critique carrying at least two weaknesses and one concrete next step. A major severity forces another pass.

What this landing is built to rank for

Demand-derived page architecture

Give it a topic and a page type. It uses the site's existing keyword research, or runs one live lookup when there is none yet, and returns a section-by-section plan with internal link targets and a JSON-LD skeleton for that page type.

A design system written for the brief

Font pairing, palette and personality are authored per brand, then constrained by a modular type scale, an 8-point spacing grid, AA contrast and a 45 to 75 character measure. Every section generated afterward inherits those tokens.

Reference sites read live, per category

Three to five live reference sites in your category are pulled with semantic search and their palette, layout and motion signals folded into the generation prompt.

Media and deploy in the same place

Images, short video and voiceover are generated into your media library, and one instruction ships the build to Vercel and registers the site in your account so audits and tracking can reach it.

How it works

1

Set the page objective

Give the topic, the page type and who it is for. That is enough for the plan step to run.

Input: topic + page type
2

Derive the architecture

A section list comes back with the demand signal behind each entry, plus link targets and a JSON-LD skeleton, and is saved to the project.

Output: page plan with per-section evidence
3

Settle the design, then build

The system is authored from the brief, references are pulled, hero directions are offered, and sections are generated against the plan and the tokens.

Output: build plus a required self-critique
4

Deploy and connect

Ship to Vercel from the chat. The site registers in your account, so audits, bulk meta and internal links point at the real deployment.

Output: live URL registered to your account

Best fit use cases

Launch and campaign pages

When the page has to rank as well as convert, and the section list is the decision that determines whether it can.

Agencies producing pages at volume

The plan and the design tokens are stored per project, so the fifth page for a client inherits the same system as the first.

Teams tired of the SEO cleanup pass

Metadata written after the fact can only describe the page. Structure derived from demand can still change it.

Supporting content

FAQ

Where does the SEO work actually happen?

At the plan step, before design. The builder derives the section list from keyword research, community questions and Search Console queries, and cites the signal for each section. Meta title, description, canonical, robots and a schema field are editable on the project throughout, and the plan ships a JSON-LD skeleton for the page type you chose.

Does it publish to WordPress?

No. The builder deploys to Vercel. Quietly's WordPress integration is in Content Studio, for posts, and it is separate from this builder.

What about a custom domain?

You point a CNAME at Vercel and the app verifies that it resolves. The final alias step has no API in the v0 SDK the builder runs on, so you complete it in the v0 dashboard. The domain panel says exactly that.

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