How I’m Improving a Local Service Website for SEO, AEO & GEO
I’ve been working on improving a local pressure washing website in Jacksonville, FL, and I’ve been focusing on more than just traditional SEO. Some of the areas I’m working on: Improving image implementation and consistency across the site Better semantic HTML and page structure Internal linking and contextual relevance Structured data/schema Making service and location information easier for…
A local pressure washing business in Jacksonville, Florida, is undergoing a significant overhaul to improve its search engine optimization (SEO) strategy. The project extends beyond conventional SEO techniques, with a focus on enhancing image implementation, semantic HTML, internal linking, structured data, and service/location information clarity.
The goal is to make it easier for search engines and large language models (LLMs) to comprehend the site's content, which includes service offerings and service areas. Additionally, the site's performance, core web vitals, and overall user experience are being optimized.
The project's unique aspect lies in the fact that optimizing for search engines and AI-powered search engines, such as large language models (LLMs), may not be the same thing. The aim is to create a website that clearly communicates the business's identity, services, locations, and relationships to machines, not just humans.
The website can be viewed at https://pressurecleaningjacksonvillefl.com/. The developer is seeking input from other SEO and development professionals on the most effective technical changes to improve visibility in AI search and LLM answers while maintaining strong traditional SEO performance.
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