We have built a plastic-related content bank for our client Abena through a collaboration between search engine optimization and content production. The site already had a lot of information on the topic, but it required reorganization, optimization, and a lot of new content production.
Our development work helped the client's content rise in both search engines and AI tools.
There are about 1900 searches for the word plastic on Google every month, which puts Abena on par with superdomains like Wikipedia, Peda.net, and Muoviteollisuus. Abena even ranks higher than a site that has the word plastic in its domain name, i.e. muovia.com.
As we tested different AI tools, they have also started to elevate Abena as a provider of plastic products. One of Abena's main target groups is large healthcare players, such as hospitals and nursing homes.
When we asked ChatGPT or Gemini, for example, "Where should we israel phone data buy plastic products for healthcare?", both mentioned Abena in their answers or in their source references.
This is, of course, just one example of what a buyer persona seeking information might ask a search engine or AI and what kind of answers they might get. Different prompts may produce different results, but the knowledge base we have built and maintained increases the likelihood that Abena will appear in relevant searches.
Responsibility is also important to Abena. When asked more specific questions about plastic and responsibility, Abena came up even more often in AI's responses.
When looking at the examples, it's good to note that results require continuous and active content and SEO development. For highly competitive keywords, one blog every now and then or reviewing the most important landing pages once a year is not enough.
Example: our client is rising in search engine and AI
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