AI-driven search is changing how customers research, compare, and choose brands. From ChatGPT to Perplexity, LLMs are becoming a critical part of the decision-making journey. We help you position your brand early, so you’re visible where high-intent, research-led searches are happening.
We’re seeing increased searches daily from AI tools such as Chat GPT, Gemini, Perplexity, and more; otherwise known as LLMs (Large Language Models). As search continues to evolve and change, this is something that brands across all sectors should be preparing for, and they present a particular opportunity for any brands with longer tail search journeys such as those in B2B, medical research, construction, and more.
We also regularly run webinars and training sessions to help keep you at the forefront of the latest in AI search. These sessions are designed for digital marketers who want to understand how to evolve strategies to build brand visibility across AI search.
The answers users are looking for in LLM searches are often far more personalised than those that start with a traditional search. They’re initially less transactional, and very much more research focussed. This is why these kinds of searches lend themselves well to brands where search journeys are more complex and protracted such as B2B and medical. The end result however is a consumer that is ultimately more informed, and more likely therefore, to take an interest in the brands/products that are served during their research-heavy search process.
These search journeys only account for a small proportion of overall search at the moment – but this is growing rapidly with 150% growth expected YoY according to Open AI. The first movers in this space will see competitive advantage by capturing a growing portion of the market, and accessing users who are informed and motived to purchase.
There are a number of ways to feature, but it starts by understanding the audiences, including their needs and what they’re searching for. From there, you can craft a strategy across on-site content and technical SEO, partnered with digital PR to help you appear when users search for your services.
We work with a number of brands across the B2B space, helping them not only track their traffic from LLMs, but understand the prompts they should be surfacing in, and the queries their customers are inputting to find them.
An AI audit is a great place to start to establish the opportunity for you within AI/LLM searches. From identifying what audiences are searching for, to competitor and opportunity analysis, we offer you the framework from which to start your AI optimisations.
An Ahrefs study found that brand mentions are the most correlated factor with brand inclusion in AIOs, even more so than traditional SEO metrics like backlinks. If we can consistently appear in contextual topics, AI will learn to connect it with those brand values and surface your brand in these relevant search queries. Our PR services help you drive relevant mentions and press coverage to drive LLM rankings in this way.
From on-site technical optimisation to content audits and recommendations, we offer a variety of services to help brands structure their site as effectively as possible, to ensure LLMs are able to read the content, and in turn, surface your brand for relevant search queries.
We’ve trialled and tested the best AI rank trackers in-market, and have adopted the ones which offer the best insights into your rankings. This means we can not only see what prompts you’re appearing for, but can analyse audience intent behind them, and help you tailor your strategy to this.
Our data team have a tailored approach to GA4 LLM tracking, with custom dashboards to show where your LLM search queries are coming from, and what audiences are looking at on-site too.
We can track AIO snippets to see what is being picked up by Google with your efforts across SEO, digital PR and social media. Second to this, you can gain insight to what’s important to your potential/existing customers. We do this by tracking clicks on AIO results, and capturing the beginning and end snippets.
This whitepaper covers an introduction to the emerging LLM visibility landscape, the growing role of AI search in organic performance, and how brands can begin measuring their presence across major LLMs. We also compare the leading AI search visibility tools on the market, outlining their key features, limitations, and where each tool is best suited.
Alongside ensuring your content ranks in traditional search engines, our GEO experts are on hand to make sure it performs well across AI platforms, aligning your website, data, and content with the way LLMs process information. From technical fixes like implementing schema markup to targeting LLM-driven queries, our GEO strategy is varied. We’ll also help build brand presence through digital PR and social search strategies that create strong signals.
From in-depth AI audits to thorough AIO tracking, we take a thorough approach to help your brand stand out. Our team combines technical expertise with a deep understanding of AI search behaviour, so we’re able to make sure content is both discoverable and authoritative where it matters most. We also constantly monitor trends to help you stay ahead.
With AI search still being a relatively new landscape, we’re constantly monitoring the metrics and KPIs that matter the most. Mainly, our focus includes AI share of voice, tracking how frequently your brand appears in AI-generated answers compared to your competitors, as well as prompt inclusion and citations, were we track which AI responses feature your brand. We measure traffic and conversions from AI discovery, ensuring visibility translates into value.
Like with an SEO strategy, it can take a few months to see results from your LLM strategy while AI systems start to recognise and index your content. However, for sites that already have well built-out content, minor tweaks or optimisations can allow for faster improvements. Every case is different, but we’ll work with you to prioritise the highest-impact changes and monitor performance.
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