SEO vs GEO: What Should Marketing Teams Actually Prioritise?

The question every marketing team is now asking

For two decades, being visible online meant one thing: ranking on Google. Earn the position, win the click, capture the demand.

That model is no longer the whole picture. People increasingly ask ChatGPT, Gemini, Claude and Perplexity for recommendations instead of typing keywords into a search box. Google itself now answers many queries directly through AI Overviews, often before a single organic link is seen.

So marketing teams are asking a new question: "How do we appear in AI-generated answers, not just search results?"

Close behind it sits a budget question: does Generative Engine Optimisation (GEO) replace SEO, or do the two need to work together? The answer decides where your team's time and money go next, so it is worth getting right.

What is SEO?

Search engine optimisation needs little introduction. It is the discipline of earning visibility in search results: understanding what people search for, matching content to that intent, and keeping pages technically sound enough to be crawled, indexed and ranked.

The familiar levers — keywords, on-page optimisation, site structure and backlinks — all serve one outcome: ranking pages that attract organic traffic. Success is measured in positions, clicks and the conversions that follow.

That model still works. It just no longer describes the whole of how people discover brands.

What is GEO?

Generative Engine Optimisation is the practice of improving how AI systems understand, mention and cite your brand when they generate answers.

The platforms that matter here include ChatGPT, Gemini, Claude, Perplexity and Google's AI Overviews. Rather than returning a list of links, these systems synthesise a single response, naming a handful of brands, citing a handful of sources, and leaving everything else invisible.

That is why being mentioned matters so much. In an AI answer there is no page two. If a model does not know your brand, does not trust it, or cannot retrieve content that supports a recommendation, you simply do not appear in the conversation.

SEO vs GEO: the key differences

The two disciplines overlap more than the "versus" framing suggests, but they optimise for different outcomes.

The deeper difference is the unit of optimisation. SEO optimises pages to rank for queries. GEO optimises your brand's overall footprint — what the web collectively says about you — because that is what generative systems draw on when they construct an answer.

Does GEO replace SEO?

No, and treating it as a replacement is the most expensive mistake a marketing team can make right now. Three reasons why.

1. AI systems are built on search infrastructure

When generative engines answer questions about current products, companies or events, they retrieve content from the open web — crawling, indexing and selecting sources in ways any SEO would recognise.

A page that cannot be crawled or indexed cannot be retrieved, and a page that cannot be retrieved cannot be cited. Strong technical SEO is the entry ticket to AI visibility.

2. Helpful content wins twice

Content that answers real questions clearly, demonstrates genuine expertise and is easy to comprehend is exactly what search engines reward.

There is no separate "GEO content" that works against good SEO content. The overlap is the opportunity.

3. Traditional search has not gone anywhere

A large share of discovery, comparison and purchase journeys still runs through conventional search results.

Abandoning SEO to chase AI visibility means walking away from demand that exists today.

What has changed is the weighting. Authority, accuracy and trust were always ranking factors; in a world where an AI compresses dozens of sources into one answer, they become decisive.

Generative systems tend to favour brands the wider web consistently validates, and quietly omit the ones it does not.

How marketing teams should approach SEO and GEO together

Treat them as one visibility programme with two scoreboards. In practice:

Keep the fundamentals funded

Crawlability, indexation, site structure, structured data and content quality now serve two masters. Cutting them undermines both.

Create content that demonstrates expertise

First-hand experience, original perspective and honest comparisons perform well in search and are disproportionately cited by AI systems.

Generic content earns neither rankings nor mentions.

Build authority beyond your own site

AI systems lean heavily on what others say about you — coverage, reviews, industry mentions and community discussion.

If your brand only exists on your own domain, models have little evidence to work with.

Keep business information accurate everywhere

Inconsistent product details, outdated pricing and conflicting descriptions do not just confuse customers; they get repeated back to buyers inside AI answers.

Consistency is now a visibility tactic.

Know how AI represents you today

Ask the major platforms the questions your buyers ask.

Are you mentioned? Described accurately? Recommended alongside the right competitors?

That baseline tells you where GEO effort should start.

Measure both scoreboards

Rankings and organic traffic remain essential, but add mentions, citations and share of voice inside AI answers.

What is not measured will not be prioritised, and most teams are not yet measuring the answer layer at all.

The bottom line

SEO and GEO are not competing strategies. They are two parts of a wider discipline: making sure your brand is visible wherever your customers look for answers.

SEO earns you a place in the index. GEO earns you a place in the answer.

Increasingly, you need both because the buyer who clicks a search result today may ask an assistant for a shortlist tomorrow.

Search behaviour will keep shifting towards AI-generated answers, and the teams that adapt early will build an advantage that latecomers find hard to close.

The brands that start measuring and improving their AI visibility now will not just rank. They will be recommended.