LLM Audit
More and more people are skipping the search results page altogether and asking an LLM (a large language model, the technology behind tools like ChatGPT, Google AI Overviews, and Perplexity) for an answer instead. An LLM audit shows you exactly where your brand stands in those answers today: whether AI tools recognise you, how accurately they describe you, and where competitors are being cited instead. Our audit benchmarks your current AI visibility and hands you clear, prioritised recommendations, including ready-to-use copy, to help close the gap.
Smart Audits.
Real Recommendations.
Our structured, AI-enhanced audit benchmarks your brand's visibility across the AI platforms your customers are already using, flags where inaccurate or missing information is holding you back, and shows you exactly where competitors are being recommended instead of you. We highlight the actions that will make the biggest difference to how often, and how well, AI systems recommend your brand.
Getting started is easy:
- Complete the form below.
- We benchmark your brand's AI visibility, tracking a set of relevant prompts across the major platforms and comparing your results against chosen competitors.
- We'll reach out to schedule a no-obligation call and walk you through your personalised recommendations, including ready-to-use copy you can implement straight away.
Take the first step to being seen by AI. Submit your form today.
LLM Case Study
ePaws wanted to understand how visible they really were in ChatGPT, Gemini and other AI platforms. We ran a full LLM audit, built a prioritised action plan from the findings and worked with the ePaws team to action it, driving sustained, accelerating organic growth in every month since.
147%
Increase in Total Revenue
Average YoY growth across the 8 months since the audit was actioned
346%
Peak Organic Revenue Growth
YoY uplift recorded in July, once content actions were fully live
8 / 8
Months of Revenue Growth
Every month has delivered YoY growth since the audit went into action
Get My Audit
Let us show you exactly where your brand stands in the large language models (LLMs), like ChatGPT, Gemini and Perplexity, that are increasingly answering your customers’ questions.
Your Details
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Frequently Asked Questions
LLM stands for large language model, the technology behind tools such as ChatGPT, Gemini, and Perplexity. An LLM audit is an assessment of how visible, accurate, and citation-ready your brand is within the AI-generated answers these systems produce. It looks at whether these systems recognise your brand, how they describe it, and what's holding you back from being recommended more often.
Improving AI visibility comes down to a few core areas: structuring your content so it's easy for AI systems to extract and quote, building genuine authority through PR coverage and original data, being present and discussed in the online communities AI systems draw from, and making sure the facts about your brand stay consistent and accurate everywhere they appear.
Optimising for AI search means writing content that answers specific questions clearly and directly, using structured data and schema markup so machines can parse it correctly, keeping information consistent across your site and third-party sources, and earning links and mentions from the kinds of sources AI models already trust.
The number of searches happening directly inside LLMs is rising fast, with tools like ChatGPT now fielding billions of prompts a week and Google folding AI Overviews into a growing share of its own results. A growing share of searches are now answered directly by AI systems rather than a list of links, meaning some customers never reach a traditional results page at all. If your brand isn't part of the answer an AI system gives, you're invisible to that segment of demand, no matter how well you rank in classic search.
The terms are largely used interchangeably to describe the same discipline: optimising a brand's presence and visibility within AI-generated answers, whether that's called Generative Engine Optimisation (GEO), LLM SEO, or an AI SEO audit. We treat them as the same activity under one strategy.
We measure visibility using dedicated AI monitoring software, which lets us test a defined set of prompts against the major AI platforms and record whenever and however your brand is mentioned, giving you a measurable, trackable visibility score over time rather than a one-off snapshot.
The most reliable way is to test a consistent set of prompts relevant to your industry and record whether, and how, your brand appears in the response. We use dedicated monitoring software to run this at scale across ChatGPT and other LLMs, tracking the same prompts over time so you can see genuine movement rather than a single spot check.
Appearing in ChatGPT's answers largely comes down to the same signals as other AI platforms: authoritative, well-structured content; genuine mentions and discussion across the web, including forums such as Reddit; consistent, accurate information about your business; and credible third-party sources that reference your brand.
A traditional SEO audit focuses on how well your site is set up to rank on a search results page: technical health, on-page optimisation, backlinks. An LLM audit looks specifically at how AI systems interpret, trust, and cite your brand when generating an answer, which relies on a different, though overlapping, set of signals.
AI systems tend to favour sources that are clearly structured, directly answer the question being asked, and carry recognised authority, built through PR coverage, quality backlinks, consistent information, and genuine mentions across trusted community and industry sites.
Cost depends on the scope of the audit and the size of your existing digital footprint. Complete the form below and we'll scope out exactly what you need before providing a clear, no-obligation quote.
A full LLM audit typically covers your current brand visibility across major AI platforms, an accuracy check on how your brand is being described, a review of the on-site content and structure driving (or blocking) citations, competitor benchmarking, and a set of prioritised recommendations you can act on straight away.
Recommendations tend to favour businesses with strong, consistent information across the web, genuine authority signals such as press coverage and expert-backed content, positive and frequent mentions in relevant communities, and content that clearly answers the kinds of questions a customer might ask.
Yes. Part of the audit process involves checking how accurately AI platforms describe your business (including details like services, pricing, and location) and flagging anywhere the information being surfaced is out of date or incorrect.
Yes, competitor benchmarking is a core part of our audit process. We assess AI visibility at both a domain and keyword level, so you can see exactly where competitors are being cited more often and where the opportunity lies for your brand.
We'd recommend a full audit at least every six months, given how quickly AI platforms and their algorithms evolve. Beyond that, we monitor your tracked prompts on an ongoing monthly basis, so your strategy can adapt well before the next full audit is due.
You'll receive a full set of prioritised, actionable recommendations, plus copywriting and content suggestions you can implement immediately, rather than a report that simply flags problems without solutions.
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