Traditional SEO gets your website ranked as a link on Google and Bing; GEO gets your business cited and recommended inside AI assistants like ChatGPT, Perplexity, and Google AI Overviews. SEO competes for clicks on a results page; GEO competes for mentions inside an AI's answer. You need both as search splits between the two.
Search is fragmenting. Some customers still scan a results page and click; a fast-growing group asks an AI assistant and never sees a list of links. GEO and SEO cover these two worlds — and the overlap between them is large.
Both reward clear, accurate, well-structured content and a trustworthy, consistent online identity. Good schema markup, fast pages, and genuine expertise help you rank on Google and get cited by AI. Most of the foundational work serves both at once.
SEO is about position and clicks on a ranked results page, shaped by links and on-page signals. GEO is about being part of a synthesized answer, shaped by entity consistency, extractable content, and corroboration across the sources AI models read. GEO also leans on newer signals like llms.txt and AI-crawler access.
Build the shared foundation first — technical health, structured data, strong content. Then add GEO-specific work (entity SEO, AI-ready content, citation consistency) so you're visible whether a customer searches the old way or asks an AI. That combined approach is exactly how we structure engagements.
Not entirely, and not soon — but it's taking a growing share of discovery. The safe strategy is to invest in both SEO and GEO so you're visible across every channel.
It's newer and less mature, so measurement is still evolving. But much of the work overlaps with SEO, and being early is an advantage because most competitors aren't doing it yet.
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