Understand your
AI Footprint

For decades, businesses focused on ranking in traditional search engines like Google. The goal was simple: appear as high as possible on a page of search results.

Today, AI systems are increasingly acting as answer engines rather than search engines.

Users now ask questions such as:
    •    What is the best CRM software?
    •    Which accounting platforms are recommended for startups?
    •    What is the best NDIS software?

Instead of presenting ten blue links, AI systems generate a single summarized answer that often references only a few companies or sources.

If your brand is not included in those answers, users may never discover it.

Generative Engine Optimization helps businesses adapt to this shift by improving their visibility in AI-generated responses.

Instead of presenting ten blue links, AI systems generate a single summarized answer that often references only a few companies or sources.

If your brand is not included in those answers, users may never discover it.

Generative Engine Optimization helps businesses adapt to this shift by improving their visibility in AI-generated responses.

AI-powered search engines don’t work like traditional search engines. Instead of ranking web pages in a list of results, they generate answers by combining information from multiple trusted sources.

When an AI system decides which brands, websites, or companies to mention, it evaluates several signals including authority, relevance, and how consistently a brand appears across trusted sources.