Getting your brand named in AI answers

A different kind of result

A search results page gives the searcher a list and lets them choose. An AI answer does the choosing. Ask Google's AI Overviews, ChatGPT, Perplexity or Gemini for the best options in a category and you get a short, confident reply that names a handful of brands, sometimes with links to the sources it drew on.

That changes what visibility means. Ranking seventh used to mean a chance of a click. In an AI answer, a brand is either mentioned or it is not. There is no page two.

The good news is that the work which earns a place in those answers is not mysterious. Most of it is solid SEO and good PR, aimed a little more deliberately.

How AI tools decide who to name

The details differ between tools and change often, but the broad pattern is consistent.

• What the model already knows. Large language models learn from a huge body of text. Brands that are described often and consistently across that text are easier for a model to recall and describe accurately.
• What it retrieves live. Many AI tools now search the web while they answer, then summarise what they find. Pages that rank well, answer the question directly and are easy to parse are more likely to be pulled in.
• Who else is talking about you. AI answers lean heavily on third-party sources: reviews, comparison articles, industry publications, forums and directories. Being mentioned in those places often matters more than what your own site says about you.

In short, to be named you need to be findable, understandable and vouched for.

1. Be clear about what you are

AI tools work with entities: distinct things like a business, a product or a person. If the web is unclear about what your business does, where it operates and who it serves, an AI tool will be unclear too, or will leave you out.

• Describe your business the same way across your website, Google Business Profile, social profiles and directory listings.
• Make your About page specific: what you do, for whom, where, and since when.
• Add organisation, product and local business structured data so the key facts are stated in a form machines read easily.
• Keep names, addresses and phone numbers identical everywhere.

2. Answer the questions people actually ask

People ask AI tools full questions, often long and specific. Which accountant in Perth understands mining contractors? What should I look for in a physio for a running injury? Your content should answer questions like these directly.

• Put a plain, direct answer near the top of the page, then the detail.
• Use headings that read like the questions themselves.
• Cover a topic properly across several connected pages rather than with one thin post.
• State facts clearly: prices, service areas, who you work with, what is included.

This is the same work that wins featured snippets and helps pages rank. It simply matters more now, because a clear answer is easier for an AI tool to lift and credit.

3. Earn mentions on sites AI tools trust

This is the part most brands underestimate. When an AI tool recommends businesses, it often draws on articles written by someone else: a round-up in an industry publication, a comparison on a respected blog, a thread where real customers discuss options.

• Get into the lists. Find the best-of and comparison articles that rank for your category and work out how to earn a place in them.
• Earn editorial coverage. Useful data, expert comment and genuine news get brands mentioned on sites with real readers.
• Place links and mentions on relevant, well-read sites. Topical fit matters here as much as in SEO. A mention on a site your customers actually read is worth more than one on a site nobody visits.
• Look after your reviews. Review platforms and Google Business Profile are common sources for local and service recommendations.

4. Keep ranking in ordinary search

AI tools that search the web while answering often lean on pages that already rank well. Google's AI Overviews draw on its own index. A site with technical problems, weak content or no authority will struggle to be cited, however good its AI-specific work.

Fix crawling and indexing problems, keep pages fast, and build authority with links from relevant sites. Strong SEO is the foundation that AI visibility sits on.

How to start measuring it

You cannot improve what you do not track, and AI visibility is easy to measure roughly with a spreadsheet.

• Write a prompt set. List the questions a potential customer might ask an AI tool about your category. Mix broad questions with specific ones that include location, budget or use case. Aim for a set you can run consistently, not hundreds.
• Run them across tools. Ask each question in ChatGPT, Gemini, Perplexity and Google, and record the answers.
• Record who is named and cited. For each answer, note whether your brand is mentioned, which competitors are, and which sources are linked.
• Calculate your share of voice. The proportion of answers that name you, compared with each competitor, gives you a baseline.
• Repeat on a schedule. AI answers vary between runs and change over time, so a single check proves little. Monthly tracking shows the trend.

The sources column is the most useful part. It shows you exactly which sites AI tools trust in your category, and which ones you need to be mentioned on.

Connect it to enquiries

Mentions are a means, not an end. Check your analytics for referral visits from AI tools, ask new customers how they found you, and watch branded search over time. The aim is more enquiries and revenue, and that is what any AI visibility work should be judged against.

Where to go next

For a quick read on how AI tools describe your business today, run the free AI visibility check. To see how we approach this work for clients, read about our AI visibility service.