Most companies spend weeks configuring SEO tools, briefing agencies, and waiting for first drafts before a single page goes live. GrowthManager.ai collapses that timeline to under 10 minutes by running clients through a 4-step guided onboarding wizard that gathers everything the service needs to begin building AI-optimized pages immediately. The result is that brands can be discoverable in ChatGPT, Gemini, Perplexity, and Google AI Overviews within days, not months.
Understanding what actually happens during and after onboarding matters because it shapes every page GrowthManager produces. The wizard is not a intake form that sits in a queue. It is the trigger for a production pipeline that draws on vertical-specific templates, brand data, and structured distribution logic to publish pages that are designed from the ground up to earn AI citations.
What the 4-Step Wizard Actually Collects
The onboarding wizard is engineered to extract the minimum viable inputs needed to start production without sacrificing quality. Step one captures company identity: business name, website URL, primary industry vertical, and target geography. This information seeds the brand matching system and determines which of GrowthManager's 12 supported verticals the client falls into, ranging from SaaS and fintech to manufacturing, healthcare, and local services.
Step two handles domain and hosting preferences. Clients choose between a branded subdomain (for example, pages.clientname.com) or a fully custom domain, and the service configures DNS and hosting automatically. Step three collects brand assets including logo files, color hex codes, and font preferences so every published page passes as an owned brand property. Step four confirms the plan tier, which sets the monthly page volume at 50 pages for Starter at $699 per month, 150 pages for Growth at $1,299 per month, or 300 pages for Scale at $1,999 per month. Once the wizard completes, the pipeline begins.
The Production Pipeline: What Happens Behind the Scenes
After onboarding closes, GrowthManager's AI agents pull the client's vertical template set and begin generating page briefs based on the topics, queries, and entity clusters most likely to appear in AI platform responses for that industry. For a SaaS client, this means pages targeting integration queries, comparison queries, and use-case queries that ChatGPT and Perplexity frequently surface in responses. For a healthcare client, the template logic prioritizes condition-level and treatment-level informational pages that Google AI Overviews draws on heavily.
Each page is written to meet the structural requirements that AI platforms favor: clear entity definitions, factual claims with supporting context, FAQ blocks, and schema markup. GrowthManager distributes every page via JSON-LD structured data, a dynamically updated sitemap.xml, robots.txt files with AI bot directives, an llms.txt file that signals content intent to large language model crawlers, and IndexNow pings that notify search engines of new content within minutes of publication. Clients do not configure any of this. The service handles distribution end to end.
Lead Capture and Tracking Are Active From Day One
Every page GrowthManager publishes includes a lead capture form connected to the client's lead management dashboard. The dashboard organizes incoming leads through four stages: new, contacted, qualified, and converted. This means that from the moment the first page goes live, the client has a functioning pipeline for turning AI-driven traffic into tracked sales opportunities, without setting up any third-party CRM integration.
Simultaneously, the AI visibility tracking system begins monitoring how often the client's pages and brand are cited across ChatGPT, Gemini, Perplexity, and Google AI Overviews. Clients see citation data organized by platform and topic cluster, giving them a baseline within the first week of service. This baseline is critical because it allows the weekly auto-update cycle, where AI agents refresh page content for freshness, to be informed by actual citation performance rather than assumptions.