A growing number of people now ask ChatGPT or Perplexity for a recommendation instead of typing a query into Google. They might ask for the best accountant in Brisbane, a reliable CRM for a small team, or a marketing agency that understands tradies. They get a short, confident answer with a handful of names.
If your business is one of those names, you get a warm lead who has already been told you’re worth considering. If it isn’t, you’re invisible at the moment it matters most.
That’s why AI brand mentions have become a serious part of search strategy. This article explains what they are, how AI tools decide who to mention, and what you can do to earn more of them.
What AI Search Visibility Actually Means
Traditional search visibility is about position. You rank third for a keyword, and people see your listing on a results page.
AI search visibility works differently. There’s often no list of ten links. The tool writes an answer and names the businesses, products or sources it considers relevant. Your visibility depends on whether you appear in that answer at all, and how you’re described when you do.
This changes what you measure. Rankings and click-through rates still matter, but you also need to ask:
- Does ChatGPT know who we are and what we do?
- Is Perplexity citing our website, or someone else’s page about us?
- When someone asks for a recommendation in our category, are we on the list?
- Is the description accurate?
Many businesses have never checked. It takes ten minutes to type your category questions into a few AI tools and see what comes back. The results are often humbling, and always useful.
How ChatGPT Brand Citations Differ From Google Rankings
Google ranks pages. Large language models (LLMs) build answers. That distinction explains most of what’s different about ChatGPT brand citations.
When a model answers a question, it draws on patterns learned during training. Where search is switched on, it also pulls from live web sources. Either way, it favours brands it has seen described clearly and consistently across many places. A brand that appears on its own site, in industry publications, in reviews and in credible directories, all saying roughly the same thing, is easier for a model to recommend with confidence.
This is why LLM brand mentions don’t map neatly to keyword rankings. You can hold a strong position on Google for a phrase and still be missing from AI answers. The reverse also happens. A business with modest rankings but a strong footprint across respected sources can show up more often than you’d expect.
In practice, there’s no switch to flip. AI engines don’t offer a form where you can request a mention. What you can do is make your brand easier to find, understand and trust across the web. That’s a slower job than tweaking a title tag, and it’s worth doing properly.
Why Entity-Based SEO Sits at the Centre of This
An entity is a distinct thing a search system can recognise: a business, a person, a product, a place. Entity-based SEO is the practice of making those things clear and consistent so machines understand exactly who you are.
It sounds technical, but most of the work is basic and often neglected:
- Use the same business name, address and description everywhere you’re listed.
- Make your About page say plainly what you do, who you do it for and where.
- Add structured data (schema markup) to your website so the key facts are machine-readable.
- Keep your Google Business Profile, LinkedIn and industry directory listings accurate and current.
- Connect your brand with the topics you want to be known for, rather than trying to be everything to everyone.
Take a Melbourne commercial cleaning company, for example. If its website calls it “a premier facilities solution”, its LinkedIn says “office cleaners” and a directory lists it under “general services”, the model has a muddy picture. If everything says “commercial office cleaning in Melbourne”, the picture is sharp, and a sharp picture gets mentioned more.
A well-built website helps here too. Clear service pages, sensible site structure and accurate on-page information are the foundation. If yours needs work, our website design and development services are a sensible place to start.
Generative Engine Optimisation and Answer Engine Optimisation: What’s the Difference?
You’ll see these two terms used almost interchangeably, so it’s worth separating them.
Answer Engine Optimisation (AEO) is about structuring your content so it can be lifted directly as an answer. Think clear questions, direct responses near the top of a page, tidy headings and concise definitions. It grew out of featured snippets and voice search.
Generative Engine Optimisation (GEO) is broader. It covers how your brand and content are picked up, summarised and recommended by generative AI tools. It includes content structure, but also reputation, citations, authority and consistency across the wider web.
A simple way to hold the difference: AEO helps your page get quoted, while GEO helps your brand get recommended. Both rest on solid SEO fundamentals, which is the part some commentators gloss over. A site that’s slow, thin on content or poorly structured will struggle in AI search for the same reasons it struggles in Google.
Neither one replaces traditional SEO. They sit on top of it. If you already have a healthy SEO programme, you’re ahead of most businesses. You mainly need to extend it.
Perplexity AI Ranking and Why Sources Matter
Perplexity is useful to study because it shows its working. Each answer comes with numbered citations, so you can see which pages the answer was built from.
People talk about Perplexity AI ranking as though it were a leaderboard, but it’s better understood as source selection. The tool retrieves pages it considers relevant and trustworthy, then summarises them. If your page is among the sources, you’re cited. If a third party’s page about you is the source, that’s what shapes how you’re described.
That leads to a few practical observations:
- Clear, specific pages tend to get used. A page that answers a question directly is easier to cite than one that circles it.
- Third-party sources carry weight. Reviews, industry roundups, news coverage and comparison articles often feed answers about your category.
- Freshness can matter. Outdated pricing, old team pages and stale blog posts can leave the wrong impression.
- Experience-based content stands out. Original insight, local detail and real examples give a model something worth citing that generic content doesn’t.
You can test this yourself. Ask Perplexity a question your ideal customer would ask, then look at which sources it cites. Those are the sites you need to be present on, or need to outperform.
AI Reputation Management Starts With What Others Say About You
Here’s the uncomfortable bit. AI tools don’t only repeat what you say about yourself. They reflect what the wider web says about you.
AI reputation management is therefore partly a familiar job (reviews, PR, customer feedback) and partly a new one (checking how AI describes you). A few habits are worth building:
- Audit your AI footprint regularly. Ask the major AI tools about your brand, your competitors and your category. Note what’s right, what’s wrong and what’s missing.
- Fix factual errors at the source. If an AI tool gets your services wrong, there’s usually an outdated or conflicting page behind it. Correct that page rather than arguing with the chatbot.
- Keep earning genuine reviews. Recent, detailed reviews on reputable platforms give models more to work with.
- Seek credible coverage. Mentions in industry publications, partner websites and local media build the kind of trust that carries across to AI answers.
- Keep your social presence active and consistent. Social profiles are part of your entity footprint, and a considered social media strategy supports the same story you tell elsewhere.
None of this is quick. Brands that treat it as ongoing reputation work, rather than a one-off project, tend to see steadier progress.
Zero Click Optimisation: Being Useful Without the Visit
AI answers often satisfy the reader without a click. That worries a lot of marketers, and fair enough. But it helps to think about what the answer is actually doing for you.
Zero click optimisation accepts that some of your visibility will happen off your website. The goal shifts from “get the visit” to “be the brand named in the answer”, and then make it easy for interested people to find you afterwards.
That has a few practical consequences:
- Brand search matters more. If an AI answer names you, many people will search your name next. Make sure your branded results are strong and your Google Business Profile is complete.
- Your content should be quotable. Lead sections with a direct answer, then add detail. Short, clear definitions and well-labelled lists are easier to reuse.
- Measure differently. Watch branded search trends, direct traffic and referrals from AI platforms where your analytics can see them. Ask new leads how they found you, because “ChatGPT told me” is already showing up in sales conversations.
Be realistic about measurement. AI platforms don’t give the clean reporting that Google Search Console does, so you’ll be piecing together signals. That’s normal at this stage, and anyone promising precise attribution is overselling.
A Practical Starting Plan
If you’re not sure where to begin, this order works well for most businesses:
- Test. Run 10 to 15 questions your customers would ask across ChatGPT and Perplexity, and record the results.
- Tidy your entity. Align your name, description and details across your website and key listings.
- Strengthen core pages. Make your service pages specific, current and clearly written, with direct answers to common questions.
- Add structure. Use schema markup where it fits.
- Build third-party presence. Pursue reviews, partnerships and coverage on sources your category already trusts.
- Repeat quarterly. AI tools change quickly, so check again and adjust.
It’s less exciting than chasing the latest trick, but it’s the approach most likely to hold up as these platforms evolve.
Conclusion
AI tools are becoming a genuine discovery channel, and being named in their answers is increasingly part of staying visible. Earning AI brand mentions comes down to being clear, consistent and credible across the web: a well-built website, a sharp entity footprint, content that answers real questions and a reputation that backs it up.
You don’t need to abandon traditional SEO to do this. Strong fundamentals feed straight into GEO, AEO and everything else covered here. Start by seeing how AI tools describe your business today, then fix the gaps one by one.
Get Found Where Your Customers Are Asking
Looking for a more strategic approach to your digital marketing? Admosis works with Australian businesses to build practical, data-led strategies across SEO, paid media, social media and more, so your brand stays visible as search keeps changing.
