Screenshots are from the live systems. Target lifts are projections to validate on Sun Stoppers data — not promises.

One staff member with this automation handles about three times more projects — that's how we scale your program without diluting quality.



One command center connecting every GHL sub-account to any AI LLM, with all campaign workflows integrated.
Every Sun Stoppers sub-account in one view — pipeline volume, speed-to-lead, close rate, collections, live events and a needs-attention queue. One project manager or Head of Sales pilots it and feeds back to the sales managers across all 30 locations.
Playbook targets vs portfolio actuals, refreshed continuously — the AI flies the instruments, the human makes the calls.
Our own engine reads everything that already ranks in your market and turns it into a plan, a grade, and a map of connections. Every page we publish makes the next one smarter.
One seed — auto detailing charlotte — became 350 searches organized into 31 themes: money pages and the supporting pages that lift them, in build order. Before writing, each page gets a recipe — what every winning page covers, plus the angle nobody else has — approved by a human. The coverage bar tracks how much of the market you own; this is the starting line, and we watch it climb.
We build this out until every pillar and keyword cluster is covered — car detailing, window tint, ceramic coating, PPF and vinyl wrap — so Sun Stoppers owns the whole subject in each market, not a handful of pages in it.

Under the pages sits a map of the 186 things that matter in this market — services, films, brands, places — and 663 facts about them, drawn from what winning sites talk about. It tells us which pages should point to each other, and which subjects competitors cover that you don’t yet — thin spots get topped up before we brief.

Every page is graded against the pages actually ranking — before it goes live. This draft scored 83/100, with an 8.2/10 chance of being quoted by AI assistants like ChatGPT and Google’s AI answers, and a fix list underneath ordered critical-first.

An AI front desk that never misses a lead — installed from a proven template in days, and run for every shop from one command center.
None of them show up on a report — and together they cost more than any ad budget recovers. Slow follow-up alone loses 40–60% of inbound leads.
Every inquiry — call, text, website chat, Facebook, Instagram — is answered in under 30 seconds, day or night. The AI asks what your best advisor would ask (vehicle, service, timeline), quotes from your real price list — never a made-up number — books the slot, and takes the deposit that kills no-shows. Leads that don’t book get 90 days of follow-up that stops the moment they reply; finished jobs trigger the review ask, the referral ask and three years of maintenance reminders. 450+ ready-made messages and 14 automations, tuned to ceramic, PPF, tint and detailing.
Even with the system running, the owner and sales team still have to follow up, handle objections and close — the tooling raises the floor, training raises the ceiling. So alongside the CRM we can package Mike Burke’s sales pitching training as online video training behind portal access, billed monthly or yearly — plus a "Real Talk with Mike Burke" podcast widget on every shop site.
We built this the hard way once — then packaged it as an installable template. The first shop is live on it today. Rolling into the next shop isn’t a three-month project: install the template, load that shop’s services, prices and calendars, and the same machine is answering their leads within days. One proven system → 30 shops, each tuned to its own numbers.
Every shop’s CRM connects to one master screen. One operator sees every location’s pipeline, deposits pending and response times; presses one button to run the morning report, a win-back push or a seasonal promo — one shop or all at once; and approves everything before it leaves the building. No message, post or charge goes out without a human "yes." One manager pilots the whole network instead of logging into thirty accounts.
Pick one shop. We install the system, switch on the AI front desk, and measure four numbers for 90 days:


Nobody waits for a monthly meeting to find out something broke.


Toggle partial front / full front / rockers / full body — covered panels highlight with a covered-vs-exposed list and a registry price range.

Pick a carried color, flip gloss / matte / satin, toggle coverage — the car recolors and the estimate updates from the registry.

Homes and storefronts — heat, glare and privacy by film type, on the same fail-closed data discipline.

A short condition quiz recommends the prep stage; the estimator prices it from the registry — final price after in-person inspection.

The simulator suite from the PRDs, built and running — one page per tool.
Pick a state, drag the darkness slider — a per-window legal verdict from the state’s verified registry, never a guess.

One 3D engine on our own catalog cars, powering four tools — window tint, PPF coverage, wrap color & finish, ceramic coating — built to improve four things:
Real-time 3D — spin the car, toggle packages, watch covered panels highlight live. A tool customers play with, not a brochure they skim.
Every tool ends in an itemized estimate plus an "email me my build" lead step — tool traffic exits as a qualified lead, not a bounce.
Offer logic set up in the backend and connected to GHL CRM forms — add-ons and bundles surface right inside the estimate panel.
Built to rank for comparison-tool queries — "ppf vs ceramic coating", "wrap cost for a truck" — with per-package and per-vehicle pages gated by validated demand.
Wireframe from the P4 / W4 user flows — coverage shows panels, not exact cut lines; no price renders without a verified registry row. Same shell for tint (VLT), wrap (color & finish) and ceramic (estimator).


Turn traffic into booked appointments — then sell the proven system to your network.
Operational today, matched to Xpel's 16-color range. GoHighLevel upsell / downsell / cross-sell flows in progress.
AI speed-to-lead under 30 seconds · NEPQ qualification · 90-day nurture · reviews automation, retention and win-back.
The NEPQ qualification can be trained on a knowledge base built from Mike Burke’s own sales process and pitch — his discovery questions, objection handling and close — so the AI adapts his tone of voice instead of sounding like a generic bot.
Prove it on your numbers, then sell it to your network as a monthly subscription. Four measures:



One onboarding form in, launch-ready campaigns out — a human expert holds the launch key.





Fast where speed matters, gated where quality matters.
Generate → audit → revise, on a governed loop: every draft is graded against the pages actually ranking and sent back for revision until it clears the bar — so quality compounds instead of decaying. That changes the economics of writing. A skilled copywriter is no longer needed to produce the draft — only to proof-read, check grammar and sign off on the brand voice. One writer’s day covers many more pages, and every one of them ships at the same high standard.
The part nobody else in the space has: our own MCP server, our own agent console, our own skills library — not rented tools.
Claude or GPT connected directly to GoHighLevel and ClickUp — plus GA4, Search Console, Google & Meta Ads, Clarity and the site itself. One connector per shop; the AI reads and acts on real data, not copy-paste.
Every skill is built from our written SOPs and automotive-aesthetics historical data — ceramic, PPF, tint, detailing — and runs as a managed agent with per-step state, not a one-off prompt.
Every automated output passes a human expert before it ships. Sign-off is built into the pipelines — the agent pauses, the expert approves, then it moves.
AUGUST 2026
Five layers — Build, Attract, Convert, Monitor, Command — on an AI foundation of our own. Prepared for Mike Burke, Sun Stoppers.
Five layers — Build, Attract, Convert, Monitor, Command — running on our own AI foundation: a custom MCP that connects AI clients like Claude or GPT directly to GoHighLevel and ClickUp, plus agents and skills trained on real SOPs and automotive-aesthetics historical data.