What is GEO (Generative Engine Optimisation)?
Generative Engine Optimisation, usually shortened to GEO, is the practice of optimising your website so that AI-driven search and answer engines can confidently use, cite, and recommend your content.
As more users get answers directly inside generative interfaces, visibility is shifting from ranking pages to being selected as a source.
Other names for GEO
Generative Engine Optimisation does not yet have a single, universally accepted label. Depending on the platform or commentator, it is often referred to by different names, including:
- AI search optimisation
- LLM optimisation
- Answer engine optimisation
- Generative search optimisation (our preferred term)
- AI visibility optimisation
In practice, these terms describe the same underlying goal: ensuring your content is selected, trusted, and surfaced by generative systems during user research and decision-making.
How user research is shifting to AI-first journeys
Users are increasingly using AI engines as a research layer before they visit any website. Instead of clicking through multiple results, they ask a series of follow-up questions, narrow down options, compare features, and build a shortlist inside the AI interface.
Only once they have confidence in what they want do they visit a site, often with a clear intent to enquire, request a quote, or buy.
This changes what visibility means. It is no longer only about winning a click from a results page. It is about being present during the evaluation stage, when the AI is deciding which brands, products, and sources to recommend. If your site is not used as an input to those answers, you can lose influence earlier in the journey, even if you still rank well.
In effect, AI engines are shaping consideration, and websites are increasingly where validation and conversion happen.
What GEO actually means in practice
GEO is about making your site easy for generative systems to interpret and trust. That typically involves:
- Clear entities such as products, categories, brands, and use cases
- Explicit attributes such as dimensions, materials, compatibility, performance limits, compliance, and exclusions
- Consistency across pages so the same facts appear the same way everywhere
- Structure that supports extraction, including tables, bullet lists, and well-scoped sections
- External mentions on trusted third-party sites that corroborate your products, brand, and claims
If your content is vague, thin, or inconsistent, it may still rank in classic search but is less likely to be used in an AI-generated answer.
GEO vs SEO
SEO focuses on ranking web pages in results. GEO focuses on being used within the answer.
In practical terms:
- SEO is driven by keywords and rankings, GEO is driven by entities and attributes
- SEO success is often clicks, GEO success is often mentions, citations, and assisted demand
- SEO is page-first, GEO is information-first
Strong SEO foundations help GEO, but they do not guarantee it.
How AI visibility tools approximate GEO
No third-party platform has direct access to how AI systems choose sources, so tools estimate visibility using repeatable testing.
Using Ahrefs as an example, they build large prompt sets from their keyword data and SERP question sources like People Also Ask, run those prompts across major AI platforms, store the responses, then check whether brands or domains appear in those stored outputs.
Semrush describes a similar approach for tracking mentions across multiple models by running prompts and recording whether a brand is included, cited, or linked.
These tools are best treated as directional visibility indicators rather than a live, definitive ranking system.
How GEO is measured properly
GEO measurement should combine tool-based visibility with first-party analytics.
1. AI visibility and citation signals
Track how often your brand or domain appears in AI answers for relevant prompt clusters, and how that changes against competitors. Ahrefs Brand Radar is one example of this style of reporting.
2. AI-referred clicks, tracked monthly
In analytics, monitor sessions and clicks referred from AI platforms as distinct referrers. Report this monthly and break it down by landing page to identify which pages are earning AI-driven discovery.
3. Assisted impact
Because AI exposure often leads to later brand searches or direct visits, monitor:
- Branded organic growth
- Direct traffic trends
- Conversion changes on pages that gain AI visibility
Why interest in GEO is growing
Generative answers can reduce traditional click-through even when rankings stay stable.
Organisations are responding by improving content depth, product attributes, and site-wide consistency so they remain visible inside AI answers, not only in classic results.
“The gold rush is on, clients are realising there is a shift in how customers are searching, younger cohorts are using AI like personal assistants and will often turn to AI to ramp up their productivity and output. Clients are aware the days of Google being the default for search are behind us now and the new battleground is here.“
Alex Sayers – Co-Founder & Director at Oxford Search Lab
The takeaway
GEO is not a replacement for SEO. It is the next layer of organic visibility.
If your site provides clear entities, explicit attributes, consistent facts, and extraction-friendly structure, it becomes easier for generative engines to trust and use you as a source.
He has 15 years of search experience spanning agency, in-house and freelance.
He has worked across retail, eCommerce, B2B and charity sectors, focusing on technical accuracy, sustainable growth and evidence-based search strategy.
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