Something has shifted in how people find brands, and most businesses haven’t noticed yet.
A growing number of potential customers no longer start their research on Google. They open ChatGPT, Claude, Perplexity, or Gemini and type something like “What are the best boutique marketing agencies for luxury brands?” or “Recommend a watch brand with strong heritage under £10,000.” They get a direct answer — a shortlist of names, a brief explanation of each, maybe a comparison. No ads, no ten blue links, no scrolling through listicles. Just an answer.
If your brand isn’t on that shortlist, you’re invisible in an entirely new way. And unlike traditional search, there’s no ad placement you can buy to fix it.
This isn’t a future problem. It’s happening now. The brands that figure out how to position themselves for AI-driven discovery will have a meaningful advantage over those still optimising exclusively for Google’s traditional results.
To understand why your brand might be missing from AI answers, you need to understand what these models are drawing from.
Large language models are trained on enormous datasets of publicly available text — websites, articles, forums, reviews, social media, academic papers, documentation. When someone asks for a recommendation, the model synthesises what it has learned about the category, weighing how frequently a brand is mentioned, in what context, by whom, and alongside which other brands.
This works differently to how search engines rank pages. Google looks at your website and evaluates it based on technical SEO, backlinks, content relevance, and user signals. An AI model looks at the entire web’s conversation about your brand — or the absence of it — and forms something closer to a reputation assessment.
Here’s the counterintuitive part: a brand with strong SEO might still be invisible to AI if it lacks the broader web presence that these models draw from. Meanwhile, a brand with modest search rankings but extensive editorial coverage, active community discussion, and consistent expert mentions can show up prominently in AI answers.
When we audit brands for AI visibility, the same three problems come up again and again.
The first is a lack of web presence beyond the brand’s own website. This is especially common in the premium and luxury space. The brand has invested heavily in its own site but has very little presence elsewhere — no earned media coverage, few mentions on industry forums, minimal appearances in expert roundups or comparison articles. The site itself might be excellent, but AI models weigh third-party mentions heavily because they signal independent validation.
Put bluntly: if the only entity on the internet saying your brand is good is your brand, that’s not particularly convincing. Not to humans, and not to language models either.
The second is weak category association. AI models need to understand what category your brand belongs to and what makes it relevant to specific queries. A brand that describes itself in vague, aspirational terms — “we craft experiences” or “we redefine excellence” — gives the model very little to work with. When someone asks for “the best luxury leather goods brands,” the model needs clear, consistent signals that your brand belongs in that answer.
Specific, concrete language matters here. A brand that consistently uses precise category terms, names materials, describes techniques, and specifies use cases builds stronger associations than one that speaks in abstract brand poetry. This is closely related to what we see on the SEO side for luxury brands — the same specificity that helps Google understand your pages also helps AI models reference you accurately.
The third is a lack of structured, quotable content about your expertise. AI models tend to surface brands associated with authoritative, well-structured content — thought leadership, expert guides, technical explanations, definitive comparisons. If your website and external presence include clearly articulated positions on your category, you’re far more likely to be referenced.
Generic or purely promotional content gives the model nothing distinctive to anchor on. But genuinely expert content about your domain creates reference points that AI models can draw on when assembling answers.
Improving your presence in AI recommendations isn’t a quick fix. There’s no equivalent of buying a Google Ad to appear in ChatGPT’s answers. But there are concrete things you can do that shift the odds in your favour over time.
The single most impactful step is increasing the volume and quality of your brand’s mentions across the web, beyond your own properties.
This means earning coverage in relevant publications — industry media, niche blogs, expert roundups, comparison articles. It means being active in forums and communities where your category is discussed. It means contributing expert commentary to journalists, participating in industry research, and getting mentioned in the kind of authoritative content that AI training datasets prioritise.
This is closer to traditional PR than traditional SEO. The goal isn’t to build backlinks (though those help separately). The goal is to ensure that when an AI model encounters discussions about your category, your brand appears consistently and in favourable context. We’ve written about this from the PR and media relations angle — earned media coverage has always been important for luxury brands, but it’s taken on a new dimension now that AI models are aggregating those mentions into recommendations.
Review every piece of content you control — website pages, blog posts, social profiles, directory listings, about pages — and make sure they use clear, specific category language.
If you’re a luxury leather goods brand, that phrase should appear naturally across your web presence. Not stuffed artificially, but present where it belongs. Product descriptions should name materials specifically. Service pages should use the terminology your potential customers actually use when searching. The “About” page should clearly state what you do, for whom, and what makes you different — in concrete terms, not brand abstractions.
AI models are pattern matchers at scale. If the pattern they find for your brand is clear and consistent, you’re more likely to be surfaced for relevant queries. If the pattern is muddled or absent, you won’t appear even if your products are objectively excellent.
Certain types of content are disproportionately likely to be referenced by AI models when they assemble answers. Definitive guides on specific topics within your domain. Structured comparisons. Expert explanations of technical concepts. Original data or research.
The common thread is content that answers questions authoritatively. When someone asks an AI “How do I choose a bespoke suit?” or “What should I look for in a luxury hotel?”, the model draws on content that directly addresses those questions with depth and specificity. If your brand has published that content, you become part of the answer.
FAQ pages, detailed how-to guides, glossaries of industry terms, and expert commentary on category trends all perform well. The content needs to be genuinely informative — thin, promotional material won’t cut it — but it doesn’t need to be produced at massive volume. A handful of genuinely authoritative pieces will outperform dozens of superficial ones. This is the same principle that drives effective content marketing for luxury brands — depth beats frequency, and substance beats volume.
AI models sometimes generate inconsistent or incorrect information about brands because the signals they have are contradictory. If your brand name is spelled differently across platforms, your product descriptions vary wildly between your website and third-party listings, or your founding year is listed differently in different sources — the model has conflicting data and may produce unreliable outputs.
Audit your brand’s information across every platform where it appears: Google Business Profile, social media bios, directory listings, Wikipedia (if applicable), Crunchbase, industry databases. Make sure your brand name, founding date, location, category description, and key facts are consistent everywhere. This is basic digital hygiene, but it matters more in the AI context because models aggregate information from all of these sources.
Right now, the major AI platforms don’t offer paid placement in their recommendations the way Google offers paid search ads. Some are experimenting with sponsored results and brand partnerships, but it’s all early-stage and limited.
This will almost certainly change. When it does, the brands that have already built strong organic AI visibility will be in a much stronger position — just as brands with strong organic SEO were better positioned to leverage paid search effectively.
In the meantime, the window is open. Most brands — including most of your competitors — haven’t started optimising for AI visibility yet. Early movers who build strong category associations, third-party presence, and authoritative content now will have a compounding advantage as AI-driven discovery grows.
A simple starting exercise: open ChatGPT, Claude, and Perplexity. Ask each of them a series of questions that a potential customer might ask — questions where your brand should logically appear in the answer.
“What are the best [your category] brands?” “Recommend a [your product type] for [common use case].” “Who are the leading [your industry] companies in [your market]?”
If your brand doesn’t appear, or appears with incorrect information, you have a visibility gap. The questions that produce no mention of your brand tell you exactly where your content and PR strategy needs to focus.
If your brand does appear, check what the model says about you. Is it accurate? Does it position you the way you’d want to be positioned? The answers reveal how the broader web perceives your brand — valuable intelligence regardless of AI visibility specifically.
AI-driven discovery isn’t replacing traditional search tomorrow. But it’s growing fast, and the direction is clear. A meaningful and increasing share of your potential customers will discover, evaluate, and shortlist brands through AI-powered tools rather than traditional search results.
The brands that start building AI visibility now — through earned media, authoritative content, clear category signals, and consistent brand information — will be visible in this new channel. The ones that wait until it feels urgent will be playing catch-up against competitors who moved first.
The question isn’t whether your brand needs to be visible in AI recommendations. It’s whether you start working on it now or after your competitors already own the space. If you want to understand how this connects to your broader digital strategy, that’s where we’d recommend starting.
