Digital Growth & Visibility

SEO (search engine optimization) is the sum of technical and content-related work that helps a website rank organically at the top of search engines like Google. Search engines crawl, index and rank sites according to hundreds of signals — technical infrastructure, content quality, page speed and authority are among the foremost of these signals.

GEO is the optimization discipline that ensures your brand is referenced accurately and reliably in the responses of AI systems such as ChatGPT, Perplexity and Gemini. Because AI tools answer questions directly, they look at signals different from traditional search ranking: structured data, content clarity, source reliability and citable format are at the center of these signals.

SEO aims to appear at the top of search engine results pages; GEO aims to be shown as a source in the responses generated by AI systems. In SEO, click traffic is prominent; in GEO, brand mention and reliability come to the fore. The two disciplines complement each other — a strong technical SEO foundation is also a prerequisite for GEO success.

AEO is the structuring of content in a format that search engines and AI systems can present directly as an answer. An answer-first content structure, FAQ blocks, structured data markup and a clear heading hierarchy are the core components of AEO. The goal is for the user's question to be answered with your content.

Technical SEO is the infrastructure work done so that a website is crawled, indexed and understood by search engines without issues. Site architecture, URL structure, page speed, mobile compatibility, XML sitemap, robots.txt configuration and structured data markup are within this scope. No matter how good the content is, if the technical foundation is weak, visibility remains limited.

Core Web Vitals are the three fundamental metrics Google uses to measure page experience: LCP (loading speed), INP (interaction responsiveness) and CLS (visual stability). These metrics are used directly as ranking signals. Poor values negatively affect both search visibility and how long users stay on the site.

Structured data tells search engines and AI systems what the page content means in a machine-readable format. JSON-LD markup in the Schema.org standard helps you earn rich results (star ratings, FAQ, breadcrumb) and makes it easier for LLMs to interpret your content correctly. It is the technical foundation of a GEO strategy.

llms.txt is a next-generation standard file that defines how your website should be read by AI systems. It presents the site's most important content and structure to LLMs in a summary format. Although it is still an emerging standard, brands that adopt it early gain an advantage in AI visibility.

The impact of technical fixes is usually measurable within a few weeks; content- and authority-focused work becomes apparent over a longer term. SEO is not an instant campaign but a cumulative investment — a correctly built infrastructure produces an increasing organic traffic curve over time. Regular monitoring and reporting allow progress to be tracked in concrete terms.

Yes, by asking ChatGPT, Perplexity or Gemini questions about your brand, you can observe how you are referenced in the answers. For a more systematic approach, an AI visibility analysis is performed: which queries you are mentioned in, which sources are cited and where your competitors stand are reported. At FIXER, we offer this analysis as the first step of our Visibility service.