Compare AEO Against Your Current Marketing Channels

Most DTC brands rely on a mix of Google Ads and content marketing. Google Ads provide immediate traffic, but the cost per click is a treadmill. When you stop paying, the traffic disappears. There is no compounding asset. A brand bidding on a competitive term sees its acquisition cost rise every quarter, directly eroding margins just to maintain its position.

Content marketing and SEO are meant to be the long-term solution, but they are typically executed incorrectly for the AI era. A brand might hire a content agency to write 4-8 blog posts a month. These posts are written as long-form narratives for human readers. An AI trying to answer a specific question like "are these running shoes good for plantar fasciitis?" cannot easily extract a citable fact from a 2,000-word article. It will instead cite a page with structured data, like a semantic table comparing shoe features to foot conditions.

The structural problem is that these traditional channels optimize for Google's old index of documents, not the new world of AI-native answer engines. Your blog posts are not machine-readable enough, and your ads are a temporary rental. This leaves a massive gap for a channel that builds a permanent, low-cost asset that is perfectly formatted for how AIs like Perplexity and ChatGPT source their information.

We built our own AEO engine and proved the model; the process for a client is a direct transfer of that experience. The engagement begins with mapping the entire universe of questions your customers ask. We connect to your product catalog via the Shopify API and your customer support logs in Gorgias or Zendesk to find thousands of high-intent, long-tail questions that keyword research tools miss.

Next, we build an automated content pipeline using Python, the Claude API for generation, and Supabase for content storage. This system takes a specific customer question, pulls the relevant product data from your catalog, and generates a perfectly structured answer page. The system is deployed on AWS Lambda, allowing it to publish between 75 and 200 pages per day, each passing automated quality assurance checks. This velocity is how you capture the entire long tail of customer queries.

The delivered system is a fully automated content pipeline that you own. It runs continuously, publishing pages that are optimized to be cited by AI and to rank on Google. You receive the full Python source code, a deployment runbook, and a dashboard to track impressions and organic traffic growth. This isn't a retainer; it's a permanent asset for your business.