The customer-facing AI presence. Aurelia May Studio builds websites engineered to be cited by AI search and felt by the visitor in equal measure.
What we build
AMS builds custom websites — not template variants — at the intersection of AI-search engineering and craft design. Scope ranges from a single-practitioner site to a multi-property ecosystem. The tiers below are shapes for what gets built; the proposal scopes the exact engagement.
Build
Foundation
$18,000 to $25,000
For a small operator or a single-practitioner firm that needs a credible, AI-searchable site without the agency overhead. Home, about, services, contact. Engineered for AI citation. Signed by the maker.
Standard
$25,000 to $40,000
For a firm or practice with multiple service lines and a few content surfaces. Adds depth: case studies, team page, light blog, sector pages, plus the editorial depth AI search systems can cite.
Custom
$40,000 to $75,000+
For practices that need real depth: multi-page content systems, integrations with existing CRM or CMS, custom interactive elements, photography and video production coordinated through the studio.
Ecosystem
$100,000 to $300,000+
For organizations that need an entire web presence, not just a website. Multi-property setup (main site, blog, member areas, automation infrastructure). Treated as a multi-month engagement.
Care
Care
$500/month
Monitoring, security updates, small content edits, performance checks. For sites that exist and need to stay live and current.
Care + Growth
$1,500/month
Everything in Care, plus active improvements to AI-search positioning, ongoing optimization of how the site appears to AI systems, quarterly performance reviews, and roughly five hours of editorial work each month.
Care + Growth + Content
$3,200/month
Everything above, plus one to two substantive content pieces per month, written and structured for AI search. For organizations actively publishing.
Where a build lands in its range depends on scope, content volume, and how much custom design and engineering the work calls for. We scope precisely in the proposal.
Capability menu
What goes into a build, by capability. The proposal scopes which apply to a given engagement.
AI-search engineering
Structured data, schema.org markup, content shaping for AI extraction. The architecture that makes a site quotable by Google AI Mode and ChatGPT.
Performance and architecture
Sub-second load, modern build foundation, no CMS lock-in. Content kept in durable portable formats so the site keeps working long after the engagement ends.
Design and brand
Typography systems, brand integration, handwritten marks. Visual identity built by a person, not pulled from a kit.
Editorial infrastructure
Content models, blog and case-study systems, editorial properties that scale with the organization without needing a CMS to administer them.
Photo + video
Original production coordinated through the studio when a project needs it, integrated into the build. Production costs appear as a separate line item on the proposal.
Integrations
Auth, CRM, third-party connections, member areas. Built when the engagement calls for them, not by default.
From the maker:
How I see it
Three things changed at once. Every business needs a website AI search systems can quote, not just rank. AI tools made polished-looking websites cheap — which means how polished a site looks no longer differentiates anything. And the agency model that used to absorb this complexity is collapsing under the same AI pressure that’s making templates feel generic.
What’s left in the gap is a different kind of practice. One operator doing the engineering that makes a site citable by AI overviews — with an artist’s eye on what makes the work feel made by a person. No template, no agency overhead, no handoffs between five specialists who do not talk to each other.
Aurelia May Studio engineers websites the way they need to work. Built to be cited by AI search systems. Built to perform. Built to read as if a person made them, because one did. Every site shipped is signed by the maker who built it.
What changes for a buyer is what they should pay for. The work has shifted from labour to judgment — knowing which AI output to keep, which to throw out, when a paragraph reads forced even though it’s grammatically perfect, when something is technically right but feels off, what to leave off the page entirely. That is the part that takes years to learn and seconds to apply — and it does not get cheaper as the tools get better. It is what the studio is.
