Julian Holien

A service business with a page for each service

synsationallandscaping.com ↗

The front page shows the work and gets the call. The detail lives on a page per service, built so search engines and AI answer engines can read what he does and where he does it.

Everything on it is the owner's own photography and his real service list. He edits his own wording through a preview screen, and an approved change is live a couple of minutes later.

The SEO. The front page stays a showcase, because that is what the owner wanted it to be. All the search depth lives underneath it: a page for each of his five services, a service-area page naming the towns he covers, a sitemap, and structured data that tells Google and the AI answer engines what the business is, what it offers, its hours and where it works. The FAQs on the service pages are written to answer the question first, so they can be quoted directly.

Why it stops there. He had no Google listing and no reviews when the site went up. Rather than invent any, the site makes no rating claims at all. The next gain for him is the listing and real reviews, not more words on the page.

Same information, a much better site, and a real SEO layer

justresultsgym.com ↗

This was not just a move off WordPress. I cloned the information from his old site page for page, checked it against the original so nothing was lost, and rebuilt the design from scratch: a faster, cleaner five-page site that reads well on a phone, with his own photos and his real offers.

Reading the domain's settings first is what found the real problem. The domain had three address records answering in rotation, and two of them pointed at parked pages. Roughly two of every three visitors had been landing on a blank screen, and nobody had noticed.

The SEO. The old site had no canonical addresses and no structured data. The new one has both: every page carries hidden business data generated from one source file, so the hours and prices in the data can never disagree with the page. It also has a sitemap, a robots file, an llms file for AI answer engines, clean addresses, redirects from the three old WordPress addresses that Google still held, and its new pages are submitted to search engines automatically.

Why no new pages. His content and his offers were already right. The site's problems were technical, so that is what got fixed. New pages and FAQs are a separate job, and only worth doing in his own words.

Training programs, sold direct

skrewballsystem.com ↗

An arm-care and velocity training brand that sells structured programs to players and coaches. The pages carry a tiered product, explain who each path is for, and take payment without handing the visitor to something that looks like a different company.

The SEO. Basic on purpose. The brief was selling, not search: the buyers come from the coach's own audience, so the product pages and the checkout came first. Titles, descriptions and share previews are set. A sitemap and structured data are the next step if the programs should be found through search as well.

A client describes the website they want. The first draft builds itself.

My site builder makes a demo website from a business's public Google listing, with no form needed. When a client does fill in the form, with their photos, their logo and a written description, what they put on it wins.

One AI step turns their words into a short, checked brief. The builder applies it as a first draft and texts me what was done and what still needs a person.

The AI only fills in a brief. It can't touch the site. Colors must be real color codes, text has length limits, and anything that reads like an instruction or a link is thrown out.

13,812 map listings in. 460 businesses worth a postcard out.

A nine-step data funnel that finds local businesses with no working website, and the owner to address a card to. It checks a whole region the same way every time.

AI makes the one judgment call a script can't: does this business have a website its listing doesn't show? A separate code check then visits every site the AI reports.

Finding the owner. The shop's address is checked with the mail service before any card is paid for. Then the business is looked up in Colorado's public business filings to find the registered agent, who is usually the owner, and the address the state has on file for that person. The card is addressed to a named person at that address, which is often not the shop, so it lands with the owner instead of the front counter.

When the AI isn't sure, the answer stays "not sure". Every paid lookup is logged before it is sent, so a re-run never pays twice. Every business that drops out carries the step and the reason.

A postcard that shows each business its own new website.

Every card carries a picture of a website already built for that exact business, and a QR code that opens it. The cards are made, checked and mailed by code. When someone scans one, I get a text within minutes, while they are still looking.

It runs white-label. Two agencies' cards went out in each agency's own name, colors and wording from the same system, and each agency's links can only open that agency's demos.

A watchdog that fixes what's safe to fix and only calls a person for the rest.

Most monitoring just sends alerts. This one checks a system the way a user would, makes sure a failure is real, rules out its own blind spots, returns the system to its last known-good state, and proves the repair worked. It stays quiet unless a person is needed.

It never acts on a request that got no answer. It can't loop. It only ever goes back to a state that was live and passing, and a change a person made is never overwritten.

My inbox sorts itself, saves client files, and drafts replies for my OK.

Rules file my email. Bills and notifications are filed away, client mail stays in front of me, and anything no rule matches is left alone. A client's whole email history saves itself as one transcript, with every attachment.

For my outreach, AI sorts each reply and drafts the common ones in wording I approved in advance, with two real open times from my calendar.

Nothing sends until I approve it from my phone. The AI sorts replies. It doesn't write freely, and when it isn't sure, it doesn't draft.

A sales CRM where every rep sees only their own leads.

A lead board built for a small sales team. Each rep signs in and sees their own pipeline: calls, call-backs and demo links. Leads arrive by themselves from imports, website forms, postcard scans and ads, already assigned to the right person.

Access is enforced on the server, so a rep's phone never receives another rep's leads. The board keeps working without signal and sends its changes when signal comes back.