GEO vs SEO: What Changes When Buyers Ask AI

GEO means making it easy for an AI engine to find your company, understand what it actually sells, and trust it enough to name it in the paragraph it writes back to a buyer. That paragraph — not a page of ten blue links — is what a growing share of buyers now read first.

The AI engines buyers actually use for this are ChatGPT, Gemini, Perplexity, Claude's web search and Google AI Mode (the conversational results Google shows for some searches). Each one works the same way at a high level: it searches the web, reads a handful of pages, and writes an answer that names (or does not name) your company.

GEO is built on top of SEO, not instead of it. Before an AI engine can cite your page it has to find it the same way a search engine does: crawlable HTML (no login wall, no JavaScript-only content), a sitemap, and schema (schema markup is a small block of code that states facts about a page — your company name, address or product specs — in a format machines parse directly instead of guessing from prose).

What GEO adds on top: content written to answer a specific buyer question in the first sentence (so an engine can quote it directly), a citation strategy (showing up on the directories, review sites and trade associations AI engines already trust for your industry — see how AI chooses which suppliers to recommend), and measurement of whether AI engines actually mention you, not just whether you rank.

No. Search engines and AI engines currently both matter, and for most B2B buyers, search still wins on raw usage: 80% of B2B buyers said they use search engines when sourcing new suppliers in Thomas's 2019 survey, well before generative AI existed as an option.

What has changed is that AI is no longer a side channel. About a quarter of B2B buyers now say generative AI has overtaken search for vendor research, and 94% use an LLM somewhere in the buying process — not always at the very first step, but often enough that an AI engine's answer is now one of the pages a buyer reads. Treat GEO as a second channel to win, not a replacement for the first one.

Most of Leadee's customers are not SaaS companies that chase 'AI SEO' as a keyword — they are manufacturers, industrial suppliers, distributors and professional-service firms whose buyers search in plainer terms: 'best contract manufacturer for [product] in [country]', 'accounting firm for foreign companies in Vietnam', 'emergency plumber near me'. Those buyers are starting to ask an AI engine the same question, and the engine answers with whichever suppliers it can find, verify and trust — whether or not that supplier ever wrote a blog post about GEO.

That is the practical reason GEO matters here: not to chase a trend, but because the buyer who used to start with a Google search for your category now sometimes starts with a chat window instead, and the engine still has to find a real answer from somewhere.

Buyers who are "weak in martech" — no in-house marketing team, a website an agency built years ago — are not the ones writing GEO blog posts, but their buyers are just as likely to type a question into an AI engine as any software buyer. Being invisible to that engine costs a lead quietly, with no bounce or 404 to notice.