SEO vs GEO: Key Differences and How to Adapt Your Strategy

The main difference between SEO and GEO is the target. SEO optimizes pages to rank on a results page and earn clicks. GEO (generative engine optimization) optimizes for being mentioned, recommended and cited inside the answers that AI assistants like ChatGPT and Perplexity write. SEO remains the foundation, because many assistants search the web before answering.

This SEO vs GEO comparison covers what stays the same, what changes, and how to adjust your plan without throwing out what works. When someone asks an assistant “which CRM should a five-person startup use?”, the answer arrives as a paragraph with a shortlist and a few links. The click is optional. The mention is what counts.

Key takeaways

• SEO optimizes for rankings and clicks. GEO optimizes for being mentioned, recommended and cited inside AI answers.
• SEO is still a foundation for GEO, because many assistants run web searches before answering.
• GEO puts more weight on third-party sources, precise facts and how your brand is described, not just whether a page ranks.
• The measurement changes most: from positions and sessions to share of voice in answers.
• Most teams don’t need a new function, just new prompts to track and a new place to look for gaps.

If you’re new to the term, start with our explainer on what generative engine optimization is.

SEO vs GEO: what stays the same

It’s worth starting with the overlap, because it’s larger than some of the hype suggests.

• Crawlability and indexation. If a page can’t be found and read, neither a search engine nor an AI assistant can use it.
• Relevance to the query. Assistants with browsing run searches. Pages that rank for those searches are the ones that get read.
• Quality and authority. Pages that search engines trust tend to be trusted inputs for answers too.
• Understanding user intent. Both disciplines start from what the buyer is actually trying to do.

If your technical SEO is weak, fix that first. GEO built on a site that doesn’t get crawled is wasted effort.

GEO vs SEO: what changes

The output: a list vs an answer

A results page shows ten options and lets the user choose. An AI answer makes the choice, or at least narrows it to a handful. Being fourth on a results page still gets you seen. Being left off a three-brand shortlist means you weren’t part of the decision.

The unit of work: keywords vs prompts

SEO targets keywords. GEO targets prompts: full questions with context, like “CRM with good email automation for a small B2B agency on a budget.” Prompts are longer and more specific, and assistants often split them into several searches of their own. The queries that matter may not be the ones on your keyword list.

The battleground: your site vs the web’s view of you

In SEO, most of the effort goes into your own pages. In GEO, your own pages are one voice among many. For comparison-style questions, assistants frequently cite review sites, roundup articles and forum threads. What those pages say about you shapes the answer, sometimes more than your homepage does.

The content style: persuasive vs extractable

Landing pages are written to persuade a human. AI answers are built from facts a system can extract and attribute. Plain statements about who the product is for, what it costs and what it integrates with are more useful than taglines. We cover this in how AI assistants choose the sources they cite.

The framing: position vs description

A ranking is a number. An AI answer is prose, which means your brand gets described. “Best for enterprises”, “expensive”, “easy to set up” are all framings that influence the buyer, and they’re picked up from the sources the assistant reads.

The measurement: rank and traffic vs share of voice

SEO has mature metrics: rankings, impressions, clicks, sessions. GEO needs different ones: how often you’re mentioned across a set of prompts, how that compares with competitors, and which sources are cited. The core metric is AI share of voice, measured per assistant and over time.

SEO vs GEO at a glance

How to adapt your plan: a six-step process

1. Keep your SEO foundations. Technical health, indexation and solid rankings for commercial queries still feed AI answers.
2. Build a prompt list alongside your keyword list. Write the 10 to 30 questions buyers ask assistants, with realistic context.
3. Measure your baseline in each assistant. Run each prompt several times in ChatGPT, Gemini, Perplexity, Claude and any other assistant your audience uses. Log mentions, competitors and citations.
4. Look at the searches behind the answers. Where an assistant exposes its searches, compare them with your keyword targets. Gaps there are new content opportunities.
5. Work the third-party sources. List the domains cited most often in your category. Make sure you’re on them and described accurately.
6. Rewrite key pages for extraction. Put clear facts near the top of product, pricing and comparison pages: who it’s for, what it costs, what it does.

Common mistakes when adding GEO

• Treating GEO as a separate project with separate content, instead of extending existing SEO and PR work.
• Testing a prompt once and drawing conclusions.
• Tracking only branded prompts, which almost always mention you.
• Ignoring Google AI Overviews, which sit on top of the same results page your SEO already targets. Our article on AI Overviews and traffic explains why they deserve their own tracking.

Measure SEO and GEO side by side with Citegram

Your SEO tools still tell you how you rank. For the answer side, you need something that asks the assistants directly. Citegram is a Chrome extension built for that half:

1. Add the prompts from step 2 of the plan above.
2. Run them in the real apps. Citegram asks each prompt in ChatGPT, Gemini, Perplexity, Claude, DeepSeek, Grok and Google AI Overviews in background tabs, using the accounts already signed in to your browser. There’s no API key, and questions count toward your own plan usage.
3. Compare ChatGPT’s searches with your keywords. For ChatGPT it records the web searches the assistant ran. Lining those up against your keyword rankings is often the quickest way to spot where SEO and GEO diverge.
4. Check AI Overviews. For Google it records whether an AI Overview appeared and which sources it cited, so you can see when a page that ranks still isn’t used.
5. Review share of voice and cited domains. Reports show share of voice per brand and per assistant and the most cited domains, with trends over repeated runs.

FAQ

What is the difference between SEO and GEO?

SEO aims to rank pages in search results and earn clicks. GEO aims to get your brand mentioned, recommended and cited inside AI-generated answers. The two overlap heavily, but GEO puts more weight on third-party sources and measures share of voice rather than positions.

SEO vs GEO: which should I prioritize?

Start with SEO if your technical foundations are weak, since assistants that search the web rely on pages they can find. Once those are solid, add GEO by tracking buyer prompts and working on the sources assistants cite. For most teams it’s both, not either.

Will GEO replace SEO?

Not in the foreseeable future. Many assistants rely on web search to find sources, so strong SEO continues to feed AI answers. GEO extends SEO rather than replacing it.

Does ranking first on Google mean assistants will recommend me?

Not on its own. Assistants read several sources and synthesize them. If the other pages they read favor a competitor, the answer may too, even when your page ranks well.

See where you stand in AI answers

If you want to compare your search rankings with how assistants actually talk about you, the free plan lets you track one prompt across all major assistants. Pro adds unlimited prompts for $10 a month. See pricing.