What's included in the VibeTokens website build?

Every build starts with the free audit at /start. If you convert, we build the full Next.js site: homepage, service pages, about/team page, city/service area pages, blog with SEO-optimized content, Google Business Profile optimization, schema markup (LocalBusiness, Service, FAQ), and llms.txt and llms-full.txt for AI visibility. Same-day delivery for standard builds. You own the code.

What's an AI visibility score and why does it matter for a salon?

It measures whether AI search tools — ChatGPT, Claude, Perplexity, Siri, Google AI Overviews — can understand and recommend your business. For a bridal styling studio, this matters because couples increasingly start venue and vendor searches with AI queries months before their date. The audit checks for llms.txt, LocalBusiness schema, FAQ schema, and AI crawler access. Mavon Beauty scored 81/100 — above average for a local salon — because we built the technical infrastructure into the site from the start.

How long does a build like this take?

The Mavon build — 12 pages, custom stylist portfolio system, dynamic venue partner pages, city pages for six Northeast Ohio markets — was under a week from design brief to launch. Simpler builds go same-day to 48 hours. The free audit at /start gives you a scope estimate before any conversation.

MAVON Beauty: From Slow WordPress to 81/100 AI Visibility in One Week

Erica runs MAVON Beauty out of Copley, Ohio — a bridal styling studio with 4.7 stars on Google and a client roster that books out months for wedding work. She came to us with a WordPress site that was slow, hard to update, and invisible to AI search tools.

Her competitors were in the same position. Nobody in the local bridal market had AI infrastructure. The window was open.

Here's what shipped in six days.

The Brief

One design call. Erica told us three things she cared about:

Her stylists needed individual portfolio pages — not a generic "meet the team" block.
She had venue partnerships she wanted to highlight — salons that do on-location bridal work should have pages for the venues they work with regularly.
Brides booking 6-12 months out needed a page that made the decision obvious, not a page that made them work for information.

Everything else was ours to figure out.

What Shipped

The full page set:

Homepage with service summary, social proof, and booking CTA
Individual stylist portfolio pages for each stylist — bio, specialty, photo gallery
Services: hair color, cuts, bridal packages, special events
Venue partners: dynamic partner pages for every venue Mavon works with in Northeast Ohio
City pages: Akron, Cuyahoga Falls, Hudson, Copley, Barberton, Canton — each targeting local bridal search terms
About page
Blog (initial content seeded, monthly content engine running)

Technical setup:

Next.js (App Router), Tailwind, deployed to Vercel on push
llms.txt and llms-full.txt for AI search visibility
LocalBusiness + Service + FAQ schema markup, validated
Google Business Profile optimization
Automated monthly content: 4 posts/month targeting local bridal and beauty keywords

The AI Visibility Score

At launch, the audit scored MAVON Beauty at 81/100 on AI visibility — the highest score we'd seen for a local salon at that point.

The specific wins:

llms.txt present and detailed. When AI tools crawl the site, they get a plain-English brief: what MAVON does, which services they offer, what bridal packages look like, which venues they work with, what sets Erica's team apart.
FAQ schema: 12 structured questions covering pricing, process, availability, bridal trial timing, booking process. When someone asks Siri "how far in advance should I book a bridal stylist in Akron," the infrastructure is there to answer.
LocalBusiness and Service schema: present, validated, with correct NAP and service area.

For comparison: the same week, we audited a 4.7-star Marriott Tribute Portfolio hotel in Washington DC — 161 Google reviews, a packed lobby, recent glowing reviews. Their AI visibility score: 25 out of 100. Same Google rating. Completely different infrastructure. That gap is documented here.

What Happened After Launch

Two things worth noting that weren't on the original scope.

First, Erica submitted a change request through the dashboard about eight days after launch: one of the stylist portraits wasn't cropping correctly on mobile. The autonomous shift agent picked it up within 26 minutes, identified the CSS issue, fixed it in one line, deployed, and closed the ticket — no call, no email thread, no queue. The full play-by-play is here.

Second, the automated content engine started indexing. Three posts in the first month: local bridal hair search terms, venue partner features, a post on booking timelines for Northeast Ohio brides. All targeting the keyword gaps the audit surfaced at intake.

The Score Ceiling

81/100 is real but it's a floor, not a ceiling. The AI knowledge check — when we ask Claude directly what it knows about MAVON Beauty — still comes back with "I don't have specific information." That's the lag between building infrastructure and appearing in training data. It takes time.

The infrastructure is in place. The traffic follows.

For a service business where brides book 6-12 months out and increasingly start with AI queries, being on the right side of that curve in 2026 matters more than it will in 2027, when everyone figures out why it matters.

If you want to see where your business currently sits — AI visibility, site speed, keyword gaps, GBP completeness — run a free audit. Takes 90 seconds. No email required to see the report.

— Murph