Is your website traffic declining even though your Google rankings haven't moved? Are you hearing about AI search but unsure what it actually means for your brand?
Having tracked buyer behaviour patterns across B2B clients for over a decade, and documented this shift in Build a Trusted Brand, I can tell you this is not a passing trend. The way buyers discover brands has changed structurally, and it is not changing back.
This article explains:
By the end, you will have a practical framework you can apply straight away.
If you are a founder, marketing lead, or responsible for brand growth, this is for you.
Large language models (LLMs), such as ChatGPT, Perplexity, Claude, and Gemini, have become the first place millions of buyers go to research products, services, and brands, displacing Google as the default front page of the internet.
Unlike a search engine that returns a list of links, an LLM synthesises a direct answer from across the internet. Your brand is either cited in that response, or it does not exist to that buyer.
When someone types "best content marketing consultant in the UK" into ChatGPT, they are not getting ten blue links to scroll through. They are getting a synthesised recommendation. If your brand is not part of the answer, you are out of the conversation before it begins, and most of the time, the buyer never searches again.
Only 18% of all searches now happen on Google, and more than half of those end without a single click to any website; buyers are getting answers before they ever reach your brand.
AI search tools like ChatGPT and Perplexity have accelerated this by delivering synthesised, conversational answers to complex buying questions far faster than a traditional results page.
Buyers prefer AI search for four clear reasons:
Understanding why buyers prefer these tools makes the implication for your brand clear: you cannot earn visibility in a channel you are not structurally present in.
Brands that rely solely on traditional SEO are becoming invisible to a fast-growing segment of buyers who never open a search results page at all.
Research from Edelman shows that 81% of consumers need to trust a brand before they will buy from them. LLMs are now part of how that trust is built, or denied. If an LLM does not recognise your brand as a credible, citable source, it will not mention you, regardless of how well your website ranks on Google.
The compounding problem: the longer you wait to build AI search visibility, the more authority your competitors accumulate. Today's AI tools are, as I note in Build a Trusted Brand, the worst they will ever be. The cost of inaction grows every month.
Which raises the question: what does it actually take for an LLM to cite your brand?
Google ranks websites and returns links; LLMs synthesise answers and cite sources, and those are fundamentally different problems to solve.
| LLMs | ||
|---|---|---|
| What gets surfaced | Ranked pages | Synthesised answers |
| How brands are found | User clicks a link | Brand is cited, or isn't |
| Primary ranking signal | Technical SEO, backlinks, authority | Structured content, trust signals, third-party recognition |
| Buyer behaviour | Scans a results page | Receives a direct recommendation |
| "Winning" looks like | High page ranking | Being cited in the answer |
While Google rewards technical signals, LLMs reward the kind of authority built through consistent, answer-first content and credible third-party recognition. The strategies overlap, but they are not interchangeable.
Knowing how the two channels differ tells you what to build differently. The next section covers exactly that.
LLMs surface brands that have built strong, consistent trust signals across multiple digital touchpoints, not just websites, but customer reviews, podcast mentions, structured content, and expert citations.
The brands that earn citations in AI-generated answers are those that have become the most helpful and authoritative voice on a specific topic. Authority is earned through demonstration, not declaration.
The 7 trust signals LLMs use to determine citability:
With the trust signals clear, the practical question becomes: how do you build them deliberately?
Getting cited by LLMs requires a deliberate shift from writing for search engine algorithms to writing for answer engines, structuring content so it can be chunked, summarised, and quoted directly.
This is not about gaming AI systems. It is about becoming genuinely useful and authoritative in a way that LLMs can verify, cite, and reproduce with confidence.
[Insert numbered flow diagram: from "buyer question" through five steps to "LLM citation"]
The cost of being absent from LLM responses is not just lost traffic; it is lost trust, lost consideration, and revenue surrendered to competitors who understood this shift earlier.
If a buyer asks ChatGPT "who provides content marketing strategy in the UK?" and a competitor is cited and you are not, that buyer may never reach your website. You have not lost a visitor. You have lost an entire buying conversation.
As AI adoption compounds, the gap between visible and invisible brands widens at pace. The brands building AI search authority today will be the default citations tomorrow.
The most common questions about LLMs as a discovery channel share one underlying concern: how does your brand become visible, trustworthy, and citable in an AI-first world?
SEO (Search Engine Optimisation) focuses on ranking pages in Google. AEO (Answer Engine Optimisation) focuses on structuring content so AI tools can extract and cite it in direct answers. Both matter, but they require different content approaches. See: Trust-Based SEO: Why Rankings Alone Don't Build Revenue In 2026
No. The underlying trust signals, be it quality structured content, third-party citations, consistent authority, are recognised across ChatGPT, Perplexity, Gemini, and Claude. Build the foundation once; the platforms benefit from it.
There is no fixed timeline, but brands that publish structured, answer-first content consistently typically see early AI citations within 3–6 months. (Estimate based on observed patterns; no single peer-reviewed source exists for this figure as of mid-2025.)
Yes. Your website remains a primary trust signal for LLMs. A well-structured, content-rich site increases your chance of being cited, especially when it answers specific buyer questions directly.
Structured articles with clear headers, FAQ sections, step-by-step guides, and direct answers to specific questions are the formats LLMs most frequently pull from. See: How to Write Content That Gets Quoted by ChatGPT
LLMs are not replacing Google overnight, but they are already the first stop for a significant and growing segment of your buyers. The brands that earn citation in AI-generated answers are those that built structured, answer-first authority before it became obvious to everyone. That window is narrowing.
If you started reading this because your traffic is declining despite stable rankings, that is the shift in action. The ground moved. Your strategy has not caught up yet.
Related article: What a Trust-Centric Content Strategy Looks Like in 2026
Tom Wardman is a brand strategist, content architect, and author of Build a Trusted Brand. He works with founder-led businesses and marketing teams to install content systems that build authority, shorten sales cycles, and generate predictable growth, without agency dependency. His Trust BLUEPRINT™ framework is used by B2B organisations across the UK to become the default choice for buyers in their market.
Pricing disclaimer: All GBP–USD price conversions are rounded estimates and correct at the time of publishing. Exchange rates fluctuate and figures should be treated as indicative only.