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Author: Dan Taylor

  • A guide to competitor analysis in AI Search

    Competitor analysis has always been a core part of SEO, yet the rise of AI driven search and LLM powered results has reshaped how we understand the competitive landscape. Instead of focusing only on ranking positions, we now examine visibility across many surfaces, the clarity and usefulness of content, the strength of entities, and how […]

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  • Why GPT-5 Sends Less Traffic to Websites Than GPT-4.5

    We have seen a clear decline in LLM referral traffic over recent months, especially from ChatGPT, and this trend lines up with the release of GPT-5. Many senior marketers are asking why GPT-5 seems to send fewer clicks to websites than GPT-4.5. The answer is simple. GPT-5 gives people more complete answers inside the chat, […]

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  • An EEAT Checklist for AI Search

    In an era where AI-powered search and generative summaries are becoming mainstream, simply writing good content is no longer enough. Organisations need to demonstrate four key qualities of Experience, Expertise, Authoritativeness and Trustworthiness (EEAT) so that their content can be surfaced reliably by large language models (LLMs) and AI-driven search engines. Why EEAT still matters, […]

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  • Making JavaScript websites AI and LLM crawler friendly

    JavaScript is often touted as one of the more complex topics in SEO. Its dynamic nature, while enabling modern user experiences, can also create visibility barriers for crawlers that struggle to process and render it correctly. As search and discovery evolve toward AI-driven systems, ensuring that JavaScript websites remain fully accessible to both traditional and […]

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  • Technical SEO Considerations for ChatGPT Atlas

    ChatGPT Atlas is the latest product launch from OpenAI, blending the ChatGPT LLM product within a browser environment/ Any public site can be surfaced, cited and linked inside Atlas. This guide focuses on practical technical steps that help Atlas discover, interpret and cite your content with clarity. It also shows how to measure referrals from […]

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  • The ACE Framework for LLM and AI Visibility

    Large language models and AI-driven platforms are transforming how information is discovered. For organisations, the challenge is clear: how to ensure visibility within these systems. While traditional SEO principles remain relevant, the context has shifted. To maintain presence, three areas require attention – Accessibility, Consensus, and Entity. Together, these form the ACE Framework. A – […]

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  • Optimising for Agentic Commerce Protocol – A Technical Guide for SEOs

    The way people discover and buy products online is shifting. Until now, SEO has been about connecting human searchers with websites through keyword targeting, structured data and user experience. With the rise of AI agents, discovery and transactions are no longer limited to search engines or traditional eCommerce funnels. Agents such as ChatGPT can now […]

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