AI Search Visibility: How Businesses Get Cited by ChatGPT, AI Overviews and Perplexity

It's whether an AI assistant, ChatGPT, Google's AI Overviews, Perplexity, or similar, can find, read, and confidently repeat accurate information about a business when someone asks a relevant question. It's sometimes called answer engine optimisation, or AEO.

Traditional SEO optimises for ranking in a list of links a person then clicks through. AI visibility optimises for being the source an assistant reads, understands, and quotes directly in its answer, often without the person visiting the site at all.

The two overlap heavily. Google says the same SEO best practices apply to its AI features, and clear content, sound structure and genuine authority help with both.

They can, particularly for specific and local questions such as “who’s a good emergency electrician near me” or “which dentist in the area takes new NHS patients”. An assistant needs real sources to draw on. Nobody can guarantee a particular business will be mentioned, but clear, crawlable and consistent information gives those systems something to work with.

• • Clear, factual statements rather than vague marketing language.
• • Genuine structure: real headings, real lists, real FAQs.
• • Consistent business information (name, location, services) repeated the same way across the site.
• • Content that directly answers the question someone would actually type.

It can help. Structured data (Organization, LocalBusiness, Service and similar schema types) tells a crawler explicitly what a piece of content describes, and it makes some pages eligible for rich results. But Google states that no special markup is needed to appear in its AI features, and markup must match what is visible on the page. Treat it as good housekeeping, not a ranking or citation switch.

It is a plain-text file at the root of a site (/llms.txt) that summarises what the business does and links to its key pages. It is a proposed convention, not a recognised standard, and major search engines have not said they use it. It is cheap to maintain, so it can be a tidy supplement. It is not a substitute for clear, crawlable pages.

It depends what each crawler does. Some fetch pages to power search results and answers. Others collect content for training AI models. They can usually be controlled separately in robots.txt. Blocking search crawlers can reduce visibility, so check that nothing is blocked by accident. Whether to allow training crawlers is a separate business decision, and not one to make purely in pursuit of visibility.

There is no reliable timeline. It depends on how often pages are crawled and refreshed, how competitive the topic is, and how each system chooses its sources. Anyone quoting a guaranteed timescale for AI mentions is guessing.

No. The two are complementary rather than in tension. Clear structure, genuine content, and accurate schema help a page perform better for both a traditional search crawler and an AI assistant at the same time.

Give each core service its own clear page, and answer the questions real customers ask in plain language. Then check the page can be crawled and indexed. That gives search systems something specific to work with, rather than a page of general marketing copy. Our step-by-step guide goes further.