SEO vs GEO: the difference and why you need both

Search behaviour is splitting. Some of your buyers still type queries into Google and scan the results. Others ask ChatGPT or Perplexity for recommendations. They take the first answer at face value. According to SparkToro research, nearly 60% of Google searches already end without a click. AI-powered search is accelerating that trend by providing direct answers that eliminate the need to visit any website at all.

This creates a dual challenge for B2B businesses: you need to rank in traditional search and you need to appear in AI-generated answers. SEO addresses the first. GEO (Generative Engine Optimisation) addresses the second. Here is how they differ and why you need both.

What SEO does well

Search Engine Optimisation focuses on ranking your website in search engine results pages (SERPs) for targeted queries. It works through three main levers. Technical health: making sure search engines can crawl and index your site. On-page content: ensuring your content is relevant, authoritative and structured around the terms your audience searches for. Off-page authority: building backlinks and brand signals that show trustworthiness.

SEO delivers measurable, compounding returns. A page that ranks on page one for a commercial keyword can generate qualified traffic for months or years with minimal ongoing investment. For B2B businesses, this means capturing buyers at the research and comparison stages of their purchase journey.

The technical foundations of SEO remain critical regardless of how search evolves. Core Web Vitals, proper indexation, schema markup and clean site architecture are non-negotiable.

What GEO does differently

GEO focuses on a different outcome: getting your brand cited, referenced or recommended in AI-generated responses. Instead of ranking on a results page, the goal is to be included in the answer itself.

The mechanisms differ significantly. GEO prioritises content authority over keyword optimisation. AI platforms prefer citing definitive, expert-level content from recognised entities over keyword-optimised pages from unknown brands. This means original research, proprietary data and deep expertise carry more weight in GEO than in traditional SEO.

GEO also requires multi-platform thinking. AI platforms draw from a wider range of sources than search engines typically rank. YouTube transcripts, LinkedIn articles, Reddit discussions, podcast transcripts and academic papers all feed into AI training data. A brand that exists only on its own website has a smaller AI footprint than one with presence across the platforms AI cites most.

Where they overlap and compound

SEO and GEO are not competing strategies. They share common foundations and compound each other when executed together:

• Technical foundations serve both. Schema markup helps Google understand your content and helps AI platforms extract structured information. Fast load times and clean architecture benefit search crawlers and AI retrieval systems equally.
• Content authority compounds. A well-researched article that ranks on page one of Google also builds the kind of authority signals AI platforms look for. High-ranking content gets more backlinks, more citations and more platform sharing - all of which feed GEO.
• Entity recognition benefits both. Building a clear entity profile (consistent brand information, schema markup, Knowledge Graph presence) improves both local SEO and AI citation rates.
• Backlinks signal authority to both channels. Links from authoritative domains improve Google rankings and signal credibility to AI platforms during both training and real-time retrieval.

Building a combined strategy

The most effective approach treats SEO and GEO as two outputs of one strategy, not separate workstreams. Start with the technical SEO foundations that serve both channels. Then create content designed for dual visibility - optimised for target keywords but structured for AI extraction with clear statements, original data and expert positioning.

Layer in platform presence by republishing key content on YouTube (with transcripts), LinkedIn (as original articles) and contributing to relevant Reddit discussions. This builds the cross-platform entity profile that AI platforms reward.

The output also differs. In SEO, you measure rankings, organic traffic and conversions. In GEO, you track brand mentions in AI responses, citation frequency and referral traffic from AI platforms. Both metrics matter because both channels influence your pipeline.

Our SEO & AI Visibility service combines both approaches through what we call the Dual Visibility Engine. If you want to capture demand from traditional search and AI platforms simultaneously, book a call to discuss your current visibility and where the gaps sit.