01
AI Visibility Audit
I personally review how your business appears across AI search, Maps, local data, and service structure.
Where systems hesitate, what conflicts, what’s missing. Personal review within 24 hours.
Free AI Visibility Snapshot
Selected — or quietly removed.
Personal review. Then I fix it. Not software.
Get your Snapshot- You submit. Business name, site, and service area — about two minutes.
- I read the structure. Site, local entities, selection signals — where systems hesitate.
- Personal review in 24 hours. What conflicts, what’s missing, what to fix first.
- You decide. Audit-only, AEO fixes, or Local Dominance — no pressure to buy a playbook.
From the founder · Veteran-owned · Solo-operated
I’m John Villani — U.S. Marine Corps veteran, systems engineer, and the person behind Aesthetics Vision. I built this because local businesses still load online while AI answers name someone else.
That gap — between “we exist online” and “we’re the answer” — is the only thing I correct. Every Snapshot I review myself. Documented. No outsourced execution.
— John Villani, Founder
I craft the system the same way I was trained to read one: isolate the gap, correct the structure, leave the noise out.
What I do
Three corrections. One system.
Each one removes a reason search systems hesitate before naming a business. No ad spend. Google still treats AI features in Search as SEO — people-first pages, crawlable structure, consistent entities. I don’t sell an “AI ranking” trick.
02
Answer Engine Optimization (AEO)
I restructure pages, service entities, schema, and trust signals so AI systems can select the business with confidence.
Same fundamentals Google documents for AI features in Search — still SEO, not a parallel discipline. Precise. Documented. No filler.
03
Local Dominance Strategy
I monitor visibility decay, category pressure, and the signals that keep local selection stable over time.
I watch decay and category pressure so local selection stays stable. Authority slips when nobody owns it. I own that watch.
Client Results
What I find in the Snapshot. What I fix.
Examples from real engagements I reviewed. Labels show geo, vertical, and what was measured. Structural outcomes — not AI-rank guarantees, not paid placement, not Google scores.
Long-running studio. Missing from local AI answers.
Measured: AI Overview presence on location + class queries; GBP category/entity consistency; class-type page structure.
Before: GBP under a generic category. No dedicated class-type pages. Competing studios named in AI Overviews for the queries that mattered.
Fixed: I corrected the GBP category, built one clear page per class type, and cleaned service entities so Maps, site, and schema agreed.
Result: Maps impressions up. New client bookings increased. Practice returned to AI Overview inclusion on target local queries within about 4 weeks after structural fixes.
Established practice. Invisible in local AI answers.
Measured: AI Overview naming on condition + area queries; GBP hours/address consistency; treatment-page structure.
Before: Conflicting GBP hours and an outdated address. Every treatment on one page. No clear service entities.
Fixed: I resolved the GBP conflicts, split treatments onto dedicated pages, and matched service schema to the live site and Maps listing.
Result: Maps impressions up. More condition-specific patient inquiries. AI Overviews began naming the practice on target queries within about 6 weeks.
Growing brand. Weak entity signal in AI product answers.
Measured: Product/brand entity clarity; structured product pages; presence in AI product / style recommendations (not Maps).
Before: Product pages hard for systems to parse. Thin brand entity data. Clearer competitors surfaced first.
Fixed: I cleaned product and brand markup and rewrote pages around real product facts people ask for — not “write for the model” filler.
Result: Surfaced in AI product searches and ChatGPT-style recommendations within about 8 weeks.
The information was never secret. The access was.
Search stopped showing options.
Search stopped showing options.
Now it picks a winner.
Google, ChatGPT, and Perplexity no longer return a list of websites and let the user decide. They read the web, synthesize an answer, and name a business. One business. The rest do not appear.
Google has published exactly what signals determine who gets named. Large agencies built entire practices around understanding those signals — and charging to keep that understanding to themselves. The signals were never proprietary. The access was.
I do the reading the agencies kept behind a retainer. A personal review of the structure. Then I tell you what to correct first.
The old arrangement
- —Quarterly reports, no live signals
- —Methodology kept proprietary
- —You depended on them to interpret it
- —Only enterprise budgets qualified
Now
- ✓Personal review of the structure
- ✓Same signals. No middleman.
- ✓What conflicts, and what to fix first
- ✓You own the intelligence
- ✓Built for local & mid-size businesses
* The review follows Google’s May 2026 published guidance on how businesses are selected for inclusion in generated search answers.
The Approach
AI-native intelligence. Built for how search actually works now.
I don’t run eighty clients on one playbook. Every engagement starts with a personal review of the structure — content quality, schema fit, technical health, local entity consistency — informed by Google’s May 2026 Search Central guidance. Then I decide what to correct first.
Engagements are kept intentional. Every client gets a real strategy built from their actual visibility data, not a generic report generated from a checklist.
Built different from the start
Most agencies run 80+ clients on the same playbook. I start with a personal review, then structural correction: non-commodity content, schema alignment, technical health, local entity consistency, and how clearly a system can select the business. Aligned with Google’s May 2026 generative AI search guidance. The result is a correction plan, not a templated recommendation.
Founding seats
AI names one business. Let’s find out why it isn’t you.
Give me one question your customers ask, like “best med spa near me.” Before we talk, I run the checks myself and look at who AI names. Then we spend 15 minutes on it. You see who gets picked instead of you, and you leave with a short written plan of attack.
If it’s a fit, you’re offered one of the 3 founding seats. Terms in writing, after the call.
Qualified means you book and finish the 15-minute call and send me your question first. 3 seats. When they’re full, they’re full.
No guarantees. Just what I find, in writing.
Engagements
How engagements work
No price list here. On purpose.
I’d gladly charge you the norm. But your business is personal, and personal isn’t average.
Every business is different. Yours has its own market, its own competitors, its own gaps. So I don’t blanket everyone with one price.
Plan it, build it, test it, then review it together.
- Plan. We start with a 15-minute talk. You leave with a short written plan of attack. Together we pick the one or two things worth building first.
- Build. I build it myself, hands-on, with agentic-assisted research and deployment. Nothing goes live until I’ve reviewed it.
- Execute and test. It runs in your real business. What works stays. What doesn’t gets fixed or cut.
- Review. We go over two or three simple measures you picked at the start. Once it runs on its own, we wrap up, and the next seat opens.
I take 3 clients at a time. In person or remote, your call.
Also this work
Systems consulting
I’m a systems engineer. Some operators need the stack behind visibility — governed AI agents, clean identity and access, integrations that fail closed. Same person. Same standard. Not a second logo. Not ads.
If that is the work, start with a note or a Snapshot. I’ll tell you whether I can take it. Same door: systems consulting.