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May 29th, 2026

SEO to GEO: How to win visibility in AI-driven SERPs

Insight
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A practical response playbook for content, measurement and performance in an AI-first search landscape.

Previously, we explored how AI Overviews and AI Mode are changing the Search Engine Results Page (SERP) and why visibility no longer guarantees clicks and we shared five quick actions to take immediately. This article goes deeper: how Search Engine Optimisation (SEO) evolves into Generative Engine Optimisation (GEO), what content is harder to summarise, how measurement needs to change, and what to anticipate as AI moves closer to purchase.

Need the context first? ‘The Search Results Page Is Being Rewritten by AI.’

SEO to GEO.

It can help to think of this as a three-layer model: SEO is the foundation (making your site discoverable, indexable and rank‑eligible), GEO is about being selected and referenced within generative answers, and Answer Engine Optimisation (AEO) is about becoming the clearest, most quotable response when someone asks a question. The channels are converging – but the job to be done at each layer is slightly different.

While traditional SEO ranks webpages based on a variety of factors such as website content, domain authority and relevancy, we’re increasing seeing Generative Engine Optimisation (GEO) which focuses on websites being included within the generative AI results within the SERPs.

This has significant implications for website content that needs to be clear, structured and authoritative, therefore making it easy for AI platforms to understand and value. Content that demonstrates a level of expertise and authenticity is hugely important, content that lacks meaning or purpose, and duplicated content is not going to help with AI generated results. Brands need to own the answer, not the keywords.

GEO acts as a compliment to traditional SEO, so both strategies still need to be top of the agenda when it comes to ensuring results within the AI landscape are maintained.

GEO to AEO: optimising for answers, not just engines.

A missing piece in many search conversations right now is Answer Engine Optimisation (AEO). If GEO is about being visible inside generative results, AEO is about being the clearest, most quotable answer when Google (or any AI interface) is trying to respond to a question instantly.

In practice, AEO means engineering your content so it can be confidently summarised and attributed:

  • Write to real questions: clear subheadings that mirror how people search (and how they ask AI).

  • Lead with the answer: upfront summaries, definitions and “what it means / what to do next” sections.

  • Use evidence: first‑party data, named sources, credentials and dates to signal authority and reduce hallucination risk.

  • Make it scannable: short paragraphs, structured lists, consistent terminology and plain‑English explanations.

  • Build brand cues into the answer: distinctive point of view, proprietary frameworks, and examples that make your brand hard to strip out.

For media teams, AEO isn’t a “nice to have”. If answers reduce clicks, then the quality and ownership of those answers becomes part of the media plan – protecting demand capture, improving brand trust, and making sure your paid activity isn’t trying to compensate for avoidable organic visibility losses.

More content isn’t the answer.

Content volume alone is no protection against the diminishing returns from AI results. If an AI Overview can replicate a page’s value in a few paragraphs, irrespective of word count, then that content is susceptible. The content that continues to generate clicks is content that’s much harder to compress or summarise. This includes original data or insights, rich visuals and graphics, interactive or personalised experiences, and clear opinion or expertise. This content shifts AI from answering basic questions to helping users decide, compare or drive action. This creates a clearer differentiation between authentic and valuable content and commoditised information.

Looking further ahead, we’re seeing a more disruption with AI purchasing.

Alongside Google AI Overviews, Google is also rolling out AI Mode in SERPs to provide more of a ChatGPT‑style user experience. As the AI landscape continues to expand, it’s likely that purchases will soon be completed directly within AI platforms, following the likes of Perplexity, which has launched a new shopping feature for recommendations, or ChatGPT with its price and product comparison features.

We’re just around the corner from vastly knowledgeable and increasingly complex AI agents that can take the heavy lifting out of the ‘exploration’ stage of the purchasing journey, bespoke‑building the perfect solution. As a result, retailers will likely need to partner with AI platforms or invest in building their own retail‑specific large language models (LLMs). Either path has implications for data ownership, margin control and long-term brand equity.

What this really means for marketers.

For years marketers have been in a privileged position; search ads generate traffic. What AI has done is create nuances within this infrastructure which means that visibility doesn’t provide a guarantee of traffic and ranking no longer means returns. Clicks while still important, can no longer be the only metric of measurement for search activity.

Resistance is futile, and panic is pointless, so adapting to this new ecosystem is the only solution.

  1. Redefine what success looks like, using metrics that go beyond clicks and CTR

  2. Develop content that adds authenticity, rich media and depth

  3. Include GEO & AEO strategies to sit alongside traditional SEO

  4. Build brand trust through transparent pricing, a clear offering, authenticity and credibility