AI Search Friendly Content
Keyword Research + AI Search Optimization + Metadata
This blog post was developed to capture organic search traffic for an informational keyword. The question and answer format is ideal for AI results.
Project Overview
Key Objectives & My Approach
The valve manufacturer sells mostly custom built equipment. This creates a long sales cycle. Potential customers go through a multi-step decision-making process. After buyers determine their problem they begin to research solutions. Their web searches are for keywords and phrases identified as having informational intent. Building content for this stage of the buying process gets the brand and the product in front of a potential buyer early in their research.
These valves are used in emerging energy technologies such as hydrogen. Because of the cutting edge nature of green energy projects, some purchasers are new to the cryogenic market.
Final Impact
New Links and Referrals
“How to Specify a Cryogenic Valve” is informative for buyers new to the product. It allows us to list the products’ benefits in a helpful context. As a side benefit, it answers some questions potential purchasers would otherwise ask sales engineers. For accuracy and clarity it was written by the product manager. We made sure to link the article to his bio and social media. In addition to the links, there is metadata in place to communicate his authority to search engines.
Content Strategies
- Identified a keyword appropriate to the product that had informational intent
- Wrote copy that supports potential customers and the early stages of solution discovery
- Used questions and answers format to target AI searches. Most people will ask AI a question.
Results and Outcomes
- Post gets referral traffic from Perplexity AI Search as well as traditional organic search traffic
- Mentioning our own products creates internal links to product information for search engines to follow
- The content was reused for a guest post, giving the manufacturer a valuable backlink.
