SEO vs GEO: Differences, Similarities, and How to Combine Them in 2025

In 2025, optimizing only for Google is no longer enough. A significant portion of informational and product-discovery searches are performed directly in ChatGPT, Gemini, Claude, or Perplexity. This has given rise to GEO (Generative Engine Optimization), a discipline distinct from classic SEO but closely related to it. Understanding what differentiates them is essential for building a complete visibility strategy.

What each one optimizes

Traditional SEO optimizes web pages to appear in Google's (and to a lesser extent Bing's) search results. The goal is a high position in rankings for specific keywords, which generates clicks and traffic to your site.

GEO optimizes your brand's presence in the knowledge of language models. The goal is to be cited when a user asks the AI about your product category — not to achieve a position in a ranking.

Comparison table: SEO vs GEO

Where SEO and GEO overlap

• •Quality content: well-written, thorough, and authoritative content serves both to rank in Google and to be used as a source by LLMs.
• •Domain authority: a domain with many quality links is more likely to be recognized as a reliable source in the training corpus.
• •Structured data: schema markup helps Google display rich snippets and helps LLMs identify entities unambiguously.
• •User experience: fast, well-structured pages are indexed better by Google and are easier to process for LLM crawlers.
• •Online reputation: reviews, mentions, and presence on third-party platforms benefit both disciplines.

Where they differ significantly

Backlinks don't work the same way

In SEO, a backlink from an authoritative domain is a direct vote that raises the linked page's ranking. In GEO, what matters is the mention in text: if an article mentions your brand but doesn't link to your website, that text still forms part of the training corpus. Unlinked mentions have little value in SEO but can carry weight in GEO.

Keyword research doesn't transfer directly

In SEO, you optimize for specific keywords with measurable search volume. In GEO, you optimize for the model to associate your brand with a type of problem or category. There is no "search volume in AI": the question a user asks can be phrased in thousands of different ways and the model must recognize the context, not the exact keyword.

The speed of change is radically different

A content change in SEO can be reflected in rankings within days or weeks. In GEO, changes are only reflected when the model is retrained — a process that happens every few months at best. This makes GEO a long-term brand-building discipline, not fast tactical optimization.

The right strategy: SEO + GEO integrated

You don't have to choose between SEO and GEO: they are complementary. Good content for SEO also serves GEO. Where you should adjust focus is in distribution and objectives:

1. 1.Create content focused on answering complete questions, not just including keywords — benefits both disciplines.
2. 2.Build links oriented toward industry media, not just authority metrics — editorial mentions are valuable in both channels.
3. 3.Implement Organization, Product, and FAQ schema markup — relevant for rich snippets and entity definition in LLMs.
4. 4.Build presence on review platforms (G2, Capterra, Trustpilot) — primary sources for LLMs.
5. 5.Measure AI visibility monthly with iRankly's AI Visibility Monitor — it's the only way to know if your GEO is working.