Generative Engine Optimisation

Generative Engine Optimisation

How to build your GEO strategy

Seach is shifting from traditional organic results to AI-driven experiences, including LLM-powered tools and Google AI Overviews. And far fewer searches are sending traffic to independent websites. Brands that are not optimising their content for AI risk losing visibility, brand awareness, web traffic, and sales opportunities.

Today’s GEO programmes must focus on an integrated approach to campaigns across owned content, earned, community engagement, and ongoing measurement and insight, to ensure your brand remains visible, authoritative, and discoverable. 

Areas of expertise
  • AI visibility audits
  • GEO strategy and consultancy
  • Content development and thought leadership
  • Earned media strategy
  • Influencer and community engagement
  • On-page technical optimisation
  • Wikipedia page updates
Find out more

Our GEO Services

Narrative and messaging

Creating a clear and authoritative narrative on the topics you want to own, which stand out against competitors while ensuring a consistent story is told across all channels for AI search.

Owned content strategy and development

Audit of existing content. Building a fresh content strategy which engages your audiences while optimising for GEO including blogs, press releases and web page copy. A regular cadence of clear, concise and credible content which aligns to audience personas, narrative and messaging.

World class media relations

Building strong topical authority, consistently securing coverage around core topics you want to own in AI search results. We combine truly compelling, shareable stories that will land in the media that influence LLMs, and a forensic approach to media relations – developing bespoke stories that come to life across national, broadcast, trade and industry media.

Community and influencer engagement

Identifying the right influencers and online communities cited by LLMs that your brand can credibly engage with, including Reddit, LinkedIn, YouTube and QuoraCombining social and earned expertise to build high quality, informative content and collaboration with influencers and active users.

Monthly AI visibility performance and measurement

Ongoing review, planning, and guidance on your GEO programme, aligned with changing AI search behaviours. This includes focused reviews, continuous competitor content and keyword tracking, clear optimisation recommendations, and campaign development to ensure your brand remains visible, authoritative, and discoverable across AI search platforms.

On-page technical optimisations

Structuring and formatting web content to improve machine readability, helping LLMs and retrieval systems accurately interpret and extract information. This includes HTML and URL reviews, schema markup, clear page hierarchy, and strong performance and technical hygiene.

FAQs

What is GEO and AI Search?

Generative engine optimisation (GEO) is the process of optimising your content to boost its visibility in AI-driven search engines, rather than just traditional organic search engines, such as ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews.

AI Search uses AI to find, analyse and summarise information, and generate answers in response to a search query. It’s powered by large language models that “read” the web to provide context-rich, human-like responses. 

What is the difference between SEO and GEO?

SEO (Search Engine Optimisation) is the process of increasing website or content visibility in in traditional search engines such as Google or Bing.

SEO and GEO are not separate disciplines – GEO is simply an evolution of SEO. Together they ensure your brand is consistently discoverable, quotable and trusted wherever audiences are searching.

How can I optimise my content for GEO?

Marketers need to take an integrated approach, focusing on reputable and industry-specific earned media, as well as content optimisation, community engagement on sites such as Reddit, Wikipedia, and Quora, and technical on-page optimisation to ensure their brand remains visible, authoritative, and discoverable.

AI frequently references well-structured owned media from brands, such as blogs, white papers, press releases, and company websites (including FAQs), so optimising this content for AI search is important. This includes:

  • Strong, clear headers written in question format. Write H1s, H2s, and H3s as questions, and ensure your body paragraphs answer them
  • TL;DR at the top. AI models love summaries. Provide one that converts
  • Scannable format. Use bullets, numbers, tables. Make it impossible for the AI to miss your point
  • Lead with proprietary data. Use your internal metrics, customer outcomes, performance benchmarks i.e. data no one else has
  • Wikipedia: The majority of AI responses will include references to Wikipedia, so it’s essential that a brand’s Wikipedia page remains accurate and up to date.

How can I measure my brand’s performance?

Track KPIs such as:

  • Referrals from AI sources (tools have limited capabilities currently, but are evolving quickly)
  • Monthly monitoring of number of references in AI search against relevant search terms (inc. noting when your brand is referenced with source links versus when it’s described without attribution)
  • Competitor comparison for tone of voice

You should also:

  • Identify content currently cited in AI results
  • Assess the accuracy, tone and framing re how you’re cited
  • Spot thematic or structural patterns across cited pages
  • Compare converting vs. non-converting content from AI-driven traffic
  • Map gaps and opportunities for content creation and optimisation