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How AI search engines decide which businesses to mention

By Els Global14 July 202610 min read

The new front door to your business

Not long ago, every customer journey started with a Google search and a list of blue links. Today, a growing share of people type their question into an AI — ChatGPT, Perplexity, Google's AI Overviews, or Microsoft Copilot — and expect a direct answer. They never see a list of websites. They see a paragraph, sometimes with sources, often without.

If your business is not mentioned in that paragraph, you effectively do not exist for those searchers. And the percentage of searches handled this way is rising fast.

This guide explains exactly how these AI systems decide which businesses and websites to surface, and what you can do about it.

Where AI search engines get their information

AI search systems draw on several overlapping sources:

Web crawling and indexing

Most AI search engines crawl the web in the same way Google does. They find pages, index the content, and use it as a knowledge base. If your site is not crawlable, or if its content is thin and unclear, you will not feature in the results. Technical SEO fundamentals still apply completely.

Large language model training data

Models like GPT-4 were trained on enormous datasets scraped from the internet up to a cut-off date. Businesses that had a significant, consistent online presence before that cut-off are more likely to appear in responses — even for queries that seem unrelated to web search. This is why building your online presence is a long-term investment, not a quick fix.

Real-time retrieval

Tools like Perplexity and the browsing mode of ChatGPT perform live web searches to supplement their base knowledge. This means freshly published content can appear almost immediately. Publishing regularly matters more than ever.

Cited sources and authority signals

When AI search returns sources, the pages it links to tend to have several things in common: they are from well-established domains, they contain clear and specific information, and other authoritative sites link to them. This is classic domain authority, applied to an AI context.

What AI systems look for in content

AI systems are trained to recognise and prioritise content that appears authoritative, trustworthy and genuinely useful. In practice, that means:

Clear, direct answers to specific questions

AI search is question-based. Content that provides a clear, concise answer to a specific question is far more likely to be retrieved and cited than content that wanders around a topic. Think about the exact questions your potential customers ask, and answer them directly on your pages and in your guides.

Demonstrated expertise and specificity

Generic content is being crowded out. AI systems, and the humans they serve, are looking for specific, credible information. A guide that covers web design costs in the UK with actual figures and context will outperform a vague overview every time. Specificity signals expertise.

Structured and well-organised pages

Good heading hierarchy, clear paragraphs, and the use of lists and tables all help AI systems parse your content accurately. If an AI cannot quickly understand what a page is about and what information it contains, that page will not be cited. Structure your content as if you are writing for someone who needs to find the relevant section quickly.

Consistent business identity across the web

AI systems cross-reference information. If your business name, contact details, and description are consistent across your website, Google Business Profile, industry directories, and any press coverage, you present a coherent, trustworthy identity. Inconsistencies create doubt.

E-E-A-T: the framework that underpins everything

Google's quality raters use a framework called E-E-A-T: Experience, Expertise, Authoritativeness and Trustworthiness. This framework was developed for human evaluators, but it maps closely to the signals AI systems use when deciding whose content to surface.

  • Experience: Does the content reflect real, first-hand knowledge? Case studies, project examples and specific observations signal experience.
  • Expertise: Does the author or organisation clearly know their subject? Credentials, depth of content and accuracy all contribute.
  • Authoritativeness: Is this source recognised by others? Mentions, links from other credible sites and industry recognition matter.
  • Trustworthiness: Is the business transparent? Clear contact information, a registered company number, genuine reviews and accurate information all help.

Practical steps to improve your AI search visibility

Write long-form, question-answering content

Create guides, articles and FAQs that address the specific questions your customers ask. Each piece of content should have a clear topic, a direct answer and enough depth to be genuinely useful. This guide is an example of that approach.

Add structured data to your website

Schema markup — the structured data added to your website's code — helps AI systems and search engines understand exactly what your business is, where you are, what you offer and who has reviewed you. LocalBusiness, FAQPage and Article schema are particularly valuable.

Build a consistent presence across the web

Get listed in directories, earn mentions in relevant publications, and ensure your business information is consistent everywhere. Each coherent mention reinforces your business identity in the datasets these AI systems rely on.

Earn genuine reviews

Review signals are increasingly important. AI systems see reviews as a form of social proof and a credibility signal. Consistently earning genuine, detailed reviews on Google and relevant platforms will help.

Publish regularly

Fresh content signals an active, current business. For AI tools that do real-time retrieval, recent content can be surfaced almost immediately. A publishing cadence of even one substantial piece per month makes a meaningful difference over time.

What this means for small businesses

The shift towards AI search could seem like a threat, but it is also an opportunity. Most small businesses have not yet adapted their online presence for this environment. If you start building genuine, expert content now, you have a real chance to establish authority before your competitors do.

The fundamentals are the same as they have always been: be genuinely helpful, be clear about who you are and what you do, and build your credibility consistently over time. The businesses that do this will be the ones that AI systems mention, recommend and link to.

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