More buyers are asking ChatGPT, Google AI Overviews, Gemini, Claude, Claude Code, and Perplexity who to hire, what to buy, and which companies to trust. If your brand is invisible there, you lose demand before someone ever reaches your website.
A practical view of how your brand currently appears across AI answer engines and what to improve first.
AI answer engines are becoming a recommendation layer on top of the web. Buyers are asking for best providers, local options, comparisons, pricing guidance, and trusted brands. Visibility now depends on more than ranking for a keyword.
People ask conversational, commercial questions like “best AI agency for accountants” or “which local clinic has the best reviews and booking experience”. AI tools often answer directly instead of sending a click first.
If a competitor is better understood by AI systems, they may be cited or recommended more often even when your offer is stronger. That means less branded demand and colder inbound traffic.
Weak entity signals, thin service pages, unclear expertise, sparse citations, and missing schema make it harder for AI systems to confidently surface your business when high-intent questions are asked.
The point is not to collect vanity examples. It is to understand why your brand is or is not being surfaced, and what changes create compounding discoverability.
We test the commercial, category, and local prompts your buyers are likely to use during research.
We check whether your business is consistently described, categorised, and connected across your site and third-party sources.
We review whether AI systems can find the trust signals, proof, references, and sourceable content they need.
We identify what makes it easy or risky for AI systems to recommend your business with confidence.
We keep the audit practical. You do not get a vague trend report. You get evidence, interpretation, and prioritised actions.
We define the commercial questions, category terms, and local intents that matter most for your business, then map the surfaces where buyers are likely to ask them.
We assess how your brand, competitors, services, proof, and supporting sources appear across major AI answer engines and related search surfaces.
We identify the highest-leverage fixes covering structure, schema, content, brand signals, citations, local trust, and conversion pages.
You get a concise plan showing what to fix first, what can wait, and where we can implement the work for you if you want support.
Everything is designed to help you make better decisions quickly, whether you implement internally or want us to build the fixes with you.
Your audit combines qualitative findings with practical implementation guidance.
Every business is different, but most strong recommendations fall into a few repeatable categories.
More chances for your brand to appear when buyers ask high-intent questions in AI tools and search experiences.
Avoid random content production and focus on the specific fixes most likely to improve understanding and trust.
Sharper language for what you do, who you help, and why your business deserves to be recommended over alternatives.
Simple pricing for businesses that want clarity first and implementation second.
A focused review for businesses that want to understand where they stand right now and what to fix first.
A deeper audit plus implementation roadmap for brands that want to improve discoverability and turn the recommendations into action.
Short answers to the things people usually ask before they book.
Tell us a bit about your business and we will recommend the right starting point. If you prefer, book a short call and we can talk through your category and goals.
We will come back with the right next step, usually within one business day.
We will help you find out where you stand, where competitors are getting cited instead, and what to fix first.