How to Appear in AI Search and LLM Results
The way customers find businesses has split into two channels. The first is the traditional search channel: Google, with its keyword-based results and Map Pack. The second is the LLM channel: ChatGPT, Claude, Perplexity, Gemini, and the AI Overviews built on top of traditional search.
For most businesses, the second channel is now responsible for a meaningful share of new enquiries and is growing fast. The challenge is that the rules for appearing there are different from traditional SEO. Doing well in Google search does not guarantee you appear in AI results. And not appearing in AI results means losing the conversations that increasingly happen before a customer ever types a search query.
How LLMs Pick Businesses to Cite
Different LLMs work differently, but the underlying logic is similar across them.
Each tool answers a question using two pathways. The first is training data, the snapshot of the web that the model learned from. That snapshot influences default responses about businesses, categories, and topics. The second is real-time retrieval, where the tool searches the live web during the conversation and pulls in current sources. ChatGPT search, Claude search, Perplexity, and Gemini all do this. Most modern conversations now use both.
Both pathways reward the same fundamentals. Clear identification of who you are. Structured data that makes you legible to machines. Citeable factual content that AI can quote without ambiguity. And genuine authority in your space, expressed through links, mentions, and content that other authoritative sources reference.
The Difference Between Ranking and Being Cited
Traditional SEO is about ranking on a results page. AI search is about being cited as a source. These are related but not the same.
A business can rank well in Google search and still rarely be cited by AI. Conversely, a business can have modest Google rankings but appear consistently in AI responses because its content is structured in a way LLMs find easy to quote. The skills overlap but they are not identical.
What this means in practice is that businesses that have invested heavily in conventional SEO often have weaker AI visibility than they assume. They are confusing one form of online presence with another.
The Four Layers That Drive AI Citation
Layer one: Entity clarity. AI needs to know exactly who you are. Organisation schema. LocalBusiness schema. Consistent name, address, and description across the web. A clear About page that defines the business in third person, citeable language. The clearer your entity, the more confidently AI can reference you.
Layer two: Structured data. JSON-LD schema markup on every relevant page. Service schema for what you do. FAQPage schema for the questions you answer. Article or BlogPosting schema for your content. AI parses structured data far more reliably than it parses prose.
Layer three: Conversational, answer-style content. AI is trained to recognise question-and-answer format because that is how users prompt. Content structured as direct answers to specific questions gets cited more often than content structured as marketing prose. Headings phrased as questions. Direct answers immediately below.
Layer four: Authority signals. Mentions of your business on authoritative third-party sites. Inbound links from credible sources. Reviews. Press coverage. Industry directory listings that matter. These signals tell AI that you are a real, trusted entity worth citing.
How to Test Your AI Visibility
The simplest audit is to ask the AI tools directly. Spend an hour doing this properly.
Open ChatGPT, Claude, Perplexity, and Gemini. Ask each one the kinds of questions your prospective customers might ask. "Who are the best brand strategy studios in the North East of England?" "Which UK companies help small manufacturers with their websites?" "Where can I find a senior design studio that does both identity and websites?"
Note three things for each question. Whether your business is cited. Which competitors are cited. What the AI says about each. Do this for five to ten variations of the question. The pattern is your AI visibility baseline.
If you are not being cited at all, you have foundational work to do. If you are being cited but the description is inaccurate, you have an entity clarity problem. If competitors are being cited and you are not, study what is on their sites that is missing from yours.
Why Visibility Varies Between AI Tools
Different LLMs weight signals differently, which is why your visibility may be strong in one tool and weak in another.
Perplexity heavily favours recent, well-structured content with clear citations. It tends to reward businesses with regularly updated FAQ-style content. Claude weights authoritative sources and explicit factual statements. It is conservative about citing businesses without strong supporting signals. ChatGPT blends training data with retrieval, which means longer-established businesses with consistent online presence often appear by default in non-retrieval responses. Gemini pulls heavily from Google's wider ecosystem, including Google Business Profile, knowledge panels, and YouTube.
Inconsistent visibility across tools usually means your foundations are partial. Strengthening the underlying signals lifts you across all of them at once.
The 30-Day Improvement Plan
If you want to make meaningful progress on AI visibility in the next month, focus on these in order.
Week one. Add Organisation, LocalBusiness, and Service schema to every relevant page on your site. If you are on WordPress, plugins handle this. If you are on a custom build, your developer should add JSON-LD directly to each page.
Week two. Write five to eight FAQ pairs for your home page and each service page, with FAQPage schema. Use the questions your prospects actually ask.
Week three. Add a citeable entity statement to your home page and About page. A clear, third-person, factual statement that AI can quote verbatim.
Week four. Audit your existing content for conversational, answer-style structure. Rewrite the highest-traffic pages to lead with questions and answer them directly.
By the end of 30 days you will not yet see full results, because AI tools refresh their data on different cadences. Within 60 to 90 days the impact should be measurable in your AI audit results.
The Bigger Shift
AI search is not replacing traditional search. It is adding a layer on top of it. The businesses that will compound advantage over the next three years are the ones that treat it as a real channel now rather than waiting for it to become unavoidable.
The work is not glamorous. Schema, FAQs, structured content, authority signals. None of it is exciting. All of it compounds. And the businesses doing the work today will be the ones AI cites by default by the time their competitors realise they should have started.
If you would like a senior audit of your current AI visibility and a clear list of what to fix first, get in touch. Talk to us.
Frequently Asked Questions
How do AI assistants decide which businesses to cite?
They use a combination of training data and real-time web retrieval. Both pathways reward the same fundamentals: clear entity definition, structured data, citeable factual content, and genuine authority in your space.
How do I test whether my business appears in AI search?
Open ChatGPT, Claude, Perplexity, and Gemini. Ask each one the question a prospect would ask. Note whether your business is mentioned and which competitors are cited. Do this for five to ten variations of the question.
Why does my business appear in one AI tool but not others?
Different tools weight signals differently. Perplexity favours recent structured content. Claude weights authoritative sources. ChatGPT mixes training data with retrieval. Gemini pulls from Google's wider ecosystem. Inconsistent visibility means your foundations are partial.