Connective3 Content Team

Generative engine optimisation

Be the brand AI trusts.

GEO (generative engine optimisation) is what helps your brand appear across AI searches – and with the rise of AI Overviews and LLMs, that matters more than ever. While core SEO principles remain essential, users are no longer simply relying on traditional search engines to find products, brands, and answers. From informational queries to transactional prompts, it’s no secret that the search landscape has changed.

Our GEO services make your brand understandable, trustworthy and easy for AI to retrieve by strengthening your entity signals, knowledge graph presence, and the content AI systems rely on.

The result? You’re able to meet users where they are, and establish your relevancy across every searchable platform.

Our approach: Future-proofing your SEO strategy 

Searching for a generative engine optimisation agency? Our GEO approach focuses on aligning your website, content, and data with the way AI processes language, and retrieves information. Our SEO Everywhere framework combines traditional SEO, with GEO and social search to help you appear exactly where your audience is asking questions; optimising your site for the future of search.

Working with clients across e-commerce, travel, retail and more, we deliver impactful results, no matter the sector. So, if you’re looking for a GEO agency, we’re on-hand to transform your strategy and deliver growth.

Connective3 Feature Team

See the results for yourself

We know we can talk a big game sometimes – but we can back it up with results too, like Evri, where our GEO strategy saw them gain 22.6% AI share of voice, and 300% increase in sessions from LLMs over a six-month period.

GEO services

GEO audit

Not sure where your AI visibility currently stands? Our one-off GEO audit provides you with a complete picture of how you’re perceived by AI, which queries you’re visible for, where your gaps are compared to competitors, and what you need to do to grow your visibility. You can take this audit away to implement yourself, or we can work with you on a retainer, to complete the work, and identify additional opportunities.

Target LLM-driven queries

Beyond ensuring your content ranks in traditional search engines, we optimise it for how AI discovers and presents information– think structured content in clear, digestible sections, that answer related questions and follow-up questions.

Every LLM has its own preference, and we’ll tailor your LLM search strategy to meet your specific needs. For example, ChatGPT places greater emphasis on trusted third-party sources and community discussions, whereas Gemini draws heavily on structured web content – and if you’re a travel brand, visibility on both of these will be key, and we’ll help you to achieve that.

Strengthen technical foundations

Technical SEO still forms the backbone of discoverability, and in GEO, structured data is more important than ever. So, we’ll implement schema markup to help LLMs more effectively interpret your content, increasing the likelihood of features in AI responses; alongside running health checks to ensure your site is technically sound.

Entity optimisation

AI systems build their understanding of a brand through entity relationships — inconsistent or absent signals mean AI will either ignore you, or misrepresent you. We fix this by using our SEO Everywhere framework: ensuring your brand information is consistent across your site, social profiles and directories; building authoritative mentions via a targeted PR strategy; and establishing topical authority through well-structured, internally linked content.

Tailored and transparent GEO reporting

Curious about how we measure GEO success? We track features and placements using Ahrefs Brand Radar, alongside our own proprietary SEO tools, including Arise, which enables us to understand your AI visibility across core categories by tracking relevant prompts; and Brand Citation Score, which shows how likely AI is to remember your brand via the quality of mentions and referring domains you have. Combine that with impression, traffic and conversion data, and we have a solid understanding of how you’re performing across AI search.

Meet the team

FAQs

What is GEO?

Generative Engine Optimisation (also referred to as AI search) is the process of optimising your brand so it can be discovered and recommended by AI-powered search engines, like ChatGPT, Gemini, and Google’s AI Mode.

GEO vs SEO: Is there a difference?

Think of SEO as the foundations of GEO. SEO is all about getting your site and social content to rank on search engine results pages, such as Google. You do this by ensuring your site is technically sound, building out a bank of relevant, supporting content, and driving backlinks from authoritative domains.

All of this will provide you with a good foundation for AI search, but GEO adds an extra layer to this, via schema markup, entities, and content that’s easily citable, to ensure you’re not just visible on traditional SERPs, but on AI search platforms too.

How long does GEO take to show results?

Like traditional SEO, GEO doesn’t provide instantaneous results – although this does differ from AI platform to platform, depending on how they source information. After an initial audit and implementation of actions, you’ll typically see an increase in visibility over 1-3 months, but a continuous GEO strategy will drive more meaningful, long-term results.

How do you measure GEO success?

There are two sides to measuring GEO success: the first is visibility, and we do this by measuring prompt mentions and citations (volume and sentiment) via Brand Radar and our tools Arise and Brand Citation Score.

The second side is impressions, traffic, and conversions. AI search makes up a small part of total traffic and conversions to site, but this is rapidly growing – so implementing a dedicated strategy now is essential, if you want to see revenue rise over time.

 

GEO insights

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Fashion search in the age of Generative AI 

This whitepaper explores the rapid evolution of the search landscape, as AI-powered search experiences, large language models (LLMs), and generative search features increasingly redefine how consumers discover information and products online. Within the fashion industry, these developments are reshaping traditional visibility models, shifting discovery away from conventional ranking-based search toward conversational interfaces, AI-generated recommendations, and more personalised experiences. As search engines evolve into answer engines, fashion brands and retailers must adapt to new forms of product discovery that are influenced by intent recognition, multimodal interactions, and AI-driven curation.

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Future of search

This comprehensive guide explores how organic search is evolving in 2026. Learn what Google’s AI mode means for marketers, how to optimise for emerging features like AI overviews and social search, and ways to measure success across every format.

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Local SEO and AI: How are the two linked?

Whether you run a small local business or a large enterprise, understanding how AI can impact your local SEO strategy is key to staying ahead of the competition and for increasing your features within LLMs (large language models). This blog explores the evolving relationship between local search and AI, providing actionable strategies to optimise for both traditional search engines and AI-driven platforms.

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LLMs and ecommerce: How to boost your sales

Search has evolved. With the arrival of LLMs, the journey from query to purchase has been redefined. Once viewed purely as informational answer engines, these models now serve as a vital transactional layer for ecommerce. This guide breaks down how to leverage this shift to boost sales and engagement.

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AI Search for the Fashion and Tech reseller industry – How to stay visible 

This whitepaper explores the recent changes to SERPs and what this means for the fashion and tech reseller industry today. We cover the advancements of AI search, LLMs, and generative features, analysing how they play a hugely influential role in visibility for e-commerce brands. Using real-world examples from established brands, we explore how resellers appear in AI and what this means for attracting customers. We also take you through some best practices to help you stay ahead of the competition online.

Want to know more?

Contact us today to take your performance to the next level.

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