
The Website That Runs the Business: How AI Business Sites Turns a Small Business Site Into a Working Back Office
A Halifax team is turning small business websites from digital brochures into working back offices — with AI that answers customers, drafts quotes, publishes verified content, and collects payments, all for one flat monthly fee.
The pricing is deliberately simple: a $1,497 one-time setup fee and a $497 monthly subscription. A $500 deposit reserves the build slot, with the balance due only when the site launches — the client sees the finished work before paying the rest. What that setup buys is substantial. Each site goes live with 85+ pages: 25–30 hand-crafted core pages covering services, booking, and FAQs, plus roughly 60 AI-generated SEO pages targeting specific services, cities, and competitor comparisons. Google Search Console, Bing, sitemaps, and a verified Business Profile are configured as part of the build. Everything is live within seven days of kickoff. The monthly fee covers the parts of the system that keep working after launch: hosting, maintenance, a CRM, 24/7 chat and voice agents on the site, and a content engine that publishes 14+ new pieces every month — blog posts, service and location pages, and comparison guides — plus daily industry news tailored to the client's niche. Only four things cost extra, and the company is upfront about them: Lead Generation ($149/mo), Outreach ($229/mo), Social Content ($299/mo), and an AI Receptionist that answers a dedicated phone line ($199/mo). Everything else is included.
The most distinctive part of the platform is what the website does after someone arrives on it. Visitors can chat with a FAQ bot trained on the business's own documents — or click and talk to a real-time voice agent directly in their browser. Both capture leads into the CRM mid-conversation. For trades and field-service businesses, the included Jobs & Estimates module closes what the company describes as the core operational loop: quote, job, schedule, invoice, payment, review. The AI can draft a line-item quote directly from a call transcript or chat thread; the owner approves it from their phone; the customer signs it on a no-login mobile page with live totals and viewed-tracking, so the owner knows exactly when it was opened. An approved quote becomes a job on a Kanban board with a drag-and-drop calendar, a technician mobile view with one-tap status buttons, and invoices that collect themselves through the client's own Stripe account — with automated day-3, day-7, and day-14 reminders. After the job closes, the AI drafts the review request for approval. Businesses that sell things get the same treatment. The commerce engine supports four catalog types — physical products, bookable services, restaurant menus, and event tickets — with loyalty points, referral rewards, promo codes, and card payments flowing straight into the client's Stripe account. The platform never touches the money. Customers can even order by talking to the website's voice agent.
AI-generated content has a trust problem, and the company addresses it head-on. The content pipeline isn't a single chatbot writing a blog post — it's twelve specialized agents handling research, statistics, drafting, claim verification, citations, schema markup, and SEO formatting. The strictest standards apply to comparison pages — 'X vs Y' and competitor-alternative guides published at /compare/ on the client's site. Every price and number is deterministically re-verified against scraped sources; anything unconfirmed becomes 'Contact for pricing' rather than an invented figure. A separate fact-check model audits each claim for grounding, pages attempt to repair themselves up to twice, and only those scoring 85/100 or higher auto-publish. Lower scores land in a human review queue with a machine-written audit. Every page — blogs, service pages, listicles, news, comparisons — publishes with a 1200×630 AI-generated featured image styled to the client's brand and scored by a vision-QA judge for legibility and Google Discover suitability. An internal linking engine automatically connects each new page to the most relevant existing ones, building the topical clusters search engines reward.
The ownership model is unusual for a managed platform. Clients own the code (standard React/Next.js that any developer can pick up), the content, the lead data, the knowledgebase, and their domain. Payments run through their own Stripe account, so the revenue relationship belongs to them too. There are no long-term contracts — the service is month-to-month with 30 days' notice. If a client leaves, the company pushes the complete website code to a GitHub repository in the client's name and provides a full database export. As the company puts it: leave with everything. The retention strategy is doing the work, not locking the door.
The platform is built for local and regional service businesses: HVAC contractors, clinics, salons, landscapers, restaurants, legal and financial services, and similar owners who are excellent at their trade but have no interest in managing websites, marketing technology, or lead follow-up. It targets the well-documented pain of missed calls (most callers who hit voicemail simply dial the next business on Google), content that never gets written, and five to ten disconnected subscriptions that don't talk to each other. It is not for businesses chasing the cheapest possible website, do-it-yourselfers who enjoy running their own stack, or companies seeking bespoke software development. The company's own framing on the DIY question is candid: the underlying AI engines are free, but hosting, connecting, and maintaining them is a technical project, not a Tuesday.