NectoMax SEO Pages is part of NectoMax, which describes itself as business management for owner-run service businesses. The page frames it as a way to keep calls, texts, chats, emails, jobs, and money in one place, and it includes a Local SEO Pages module for generating location pages.
The product’s main workflow features include a unified inbox for web chat, SMS, email, and phone calls; a call screen pop and callback list that shows the caller’s name and full history before an answer; a customer timeline that keeps calls, texts, emails, web chats, and jobs in one thread; scheduling and dispatch tools with a day board, routes, and capacity in one view; billing and finance functions for invoices, payments, cash application, and owner-grade financial reports; and automations that send triggered follow-up messages. Its Local SEO Pages module can generate 60+ unique, locally researched location pages in 15 minutes and publish them directly to WordPress.
NectoMax says it is built for carpet and rug cleaning, plumbing, HVAC, house cleaning, landscaping, appliance repair, and any shop that books visits. It also says it is not built for franchise headquarters or enterprises with an IT department, but for the person who is the business. The platform works alongside existing phone systems, email, and websites, and it emphasizes that there is no day-one cutover.
The page presents NectoMax as a modular platform in which each module stands on its own. It also says the system is live in production with a real service business. No pricing or licensing terms are stated on the page.
NectoMax SEO Pages is a SEO automation project. It focuses on creating unique, optimized local SEO pages for multiple service areas without manual writing. NectoMax SEO Pages is a B2B product aimed at service-area business owners and marketers. There is a free tier, and paid plans start at $19. It ships for the web.
Behind NectoMax SEO Pages is Doug Hauenstein, and it first shipped in 2026. Key capabilities include AI content generation, Local SEO pages, and schema.org markup. The interface is available in English and Lingala. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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