AI & Search

What GEO Actually Means for Businesses

GEO isn't a replacement for SEO or a trick for getting into AI answers. It's about making a business easy for generative search systems to understand, trust and cite.

By Published 4 min read

3D render of a search results panel linked by glowing threads to four source cards, which feed into an AI answer panel.

Generative Engine Optimisation - GEO - has quickly become one of those terms that gets used a lot and defined rarely. Depending on who is talking, it is either the next big thing that makes SEO obsolete or a rebrand of what good SEO has always been. Neither is quite right, and for a business trying to decide whether it needs to do anything differently, the noise doesn't help.

Here is how I think about it, in plain terms.

What GEO is

GEO is the work of making a business, its expertise and its information easy for generative search systems to find, understand, trust and cite. That includes Google's AI Overviews and AI Mode, and chat-style assistants that answer questions by drawing on content from the web.

Traditional search shows a list of links and lets the person choose. Generative search reads a range of sources, forms an answer and - sometimes - credits the sources it relied on. The goal of GEO is to be one of those sources, and to be represented accurately when you are.

What GEO isn't

GEO isn't a set of tricks for forcing a business into AI answers. Nobody controls how these systems select and summarise sources, and anyone promising guaranteed AI visibility is promising something they can't deliver.

It also isn't a replacement for SEO. Generative search systems still depend heavily on content that is crawlable, indexable and well organised. A site that is hard for a search engine to understand is unlikely to be easy for an AI system to understand either.

How generative search systems use information

In broad terms, these systems retrieve content that looks relevant to a question, assess which sources seem reliable, and combine what they find into an answer. That process tends to favour information that is:

  • Clear. A direct answer to a specific question, rather than a vague page that circles the topic.
  • Consistent. The same facts about a business - name, location, services, people - stated the same way across its website and its profiles elsewhere.
  • Attributable. Content with an obvious author or organisation behind it, and a reason to believe that author knows the subject.
  • Structured. Logical headings, descriptive page titles and structured data that spell out what a page is about and who it relates to.

None of that is new. What has changed is how directly it matters. When a system is assembling an answer rather than ranking ten links, ambiguity is more likely to mean being left out or, worse, being described inaccurately.

What a business can realistically influence

You can't control the output of an AI system, but you can control the quality of what it has to work with. In my view, the practical priorities are:

  1. Get the facts straight and consistent. Make sure the basic facts about the business match everywhere they appear: website, Google Business Profile, social profiles and directories. Contradictions create doubt.
  2. Answer real questions properly. Write pages that answer the questions customers actually ask, in language they would use, with enough detail to be genuinely useful.
  3. Make expertise visible. Show who is behind the business and why they are qualified to talk about the subject. Author information, credentials and a clear "about" page all help.
  4. Use structured data where it fits. Organisation, Person, Product, FAQ and Article markup can help systems connect the dots, as long as it reflects what is actually on the page.
  5. Keep the technical foundations solid. Fast, accessible, crawlable pages with sensible internal linking remain the base everything else depends on.

Where GEO and SEO overlap

Most of what helps a business in generative search also helps it in traditional search. Clear content, a strong entity profile, consistent information and good technical foundations have always been part of doing SEO well.

The difference is mainly one of emphasis. SEO has often focused on individual pages and keywords. GEO pushes the focus towards the business as a whole: is it clearly defined, consistently described and credible as a source? Businesses that already take that seriously are in a good position. Businesses that have relied on volume or on narrow keyword targeting may find generative search less forgiving.

A sensible starting point

For most businesses, GEO doesn't need a separate strategy or a new budget line. It needs an honest look at how clearly the business presents itself online. Are the core facts consistent? Do the most important pages answer real questions well? Is it obvious who is behind the content and why they can be trusted?

If those answers are yes, the business is already doing much of what GEO asks. If they are no, fixing them will help in traditional search as much as in AI-assisted search - which is exactly why it is worth doing. There is more on how I approach this on the SEO, R&D & GEO page.