How AI Chooses Its Sources

Getting your website to rank well in Google does not necessarily mean it will be used as a source in AI-generated answers.

As tools such as ChatGPT, Google AI Overviews, Gemini and Perplexity become more common, businesses need to understand where these systems are getting their information. The websites and platforms influencing AI answers can vary significantly depending on the industry, search engine and questions being asked.

Rather than relying solely on traditional search rankings, businesses can analyse the sources appearing in AI answers, identify where competitors are being mentioned and use those findings to improve their own content and online presence.

Start by Looking at AI Citations

Traditional search results and AI-generated answers work differently.

A website may rank highly for an important search term but still not appear among the sources used to create an AI response. Looking at the websites cited in AI answers can therefore provide a different view of how visible a brand really is.

These sources might include company websites, review platforms, online communities, industry publications, retailer websites and other third-party sources.

Understanding this mix can help businesses decide where their efforts should go. In some cases, improving existing website content may be the priority. In others, reviews, community participation or third-party coverage could be more relevant.

There is no single list of websites that every business should target. The sources used by AI systems can vary considerably between industries.

Different Industries Rely on Different Sources

Research discussed by Trendos found noticeable differences between industries, showing why businesses should examine their own sector rather than copying another company’s strategy.

For retail and consumer products, brand websites and retailer pages can play an important role. Clear product information, including descriptions, specifications and other key details, makes it easier for important facts to be understood and retrieved.

For IT and technology services, third-party sources can be particularly useful. Review platforms, technology publications, YouTube and online communities such as Reddit can all contribute to the information available to AI systems.

For communications services, community discussions and independent editorial content can also feature prominently.

These patterns should be treated as useful observations rather than guaranteed formulas for appearing in AI answers. What works for one industry may not have the same effect in another.

Check Each AI Search Engine Separately

It is also important not to treat all AI search platforms as if they work in exactly the same way.

A source that appears frequently in ChatGPT may have less influence in another platform. The same applies to community websites, review platforms and editorial publications.

For example, Reddit may become less prominent for certain questions in one AI search engine while continuing to appear regularly in another.

Businesses should therefore record results separately for platforms such as ChatGPT, Google AI Overviews, Gemini and Perplexity. Combining everything into one overall figure can hide important differences between the platforms.

This also means businesses should avoid assuming that a source is no longer useful simply because it has disappeared from one particular AI service.

Use Competitor Mentions to Find Gaps

One of the most useful parts of an AI citation audit is comparing your brand’s visibility with your competitors.

Start by creating a list of around 10 to 20 questions that potential customers might ask when researching a product or service. These should reflect genuine buying decisions rather than simply traditional SEO keywords.

Search those questions across the AI platforms that matter to your audience and record the sources being cited.

You can then look for situations where a competitor is mentioned on a particular website but your business is not.

This creates a more specific opportunity than simply trying to increase brand mentions. You already know the customer question, the source being used and the competitor being referenced.

However, businesses should still consider whether they genuinely belong on that page. The aim should be to find relevant and legitimate opportunities rather than trying to place a brand mention on every website that appears in an AI response.

Prioritise the Sources That Matter

Not every source discovered during an audit deserves the same amount of attention.

Businesses can look at factors such as how frequently a source is cited, how relevant it is to their industry and how often competitors appear there.

This can help create a more focused list of opportunities instead of wasting time trying to gain mentions across hundreds of unrelated websites.

For example, if a particular review platform repeatedly appears when customers ask about products in your category, improving your presence there may be more relevant than pursuing coverage from a general publication that rarely appears in AI answers.

The key is to connect the source to actual customer questions.

Do Not Ignore Video Content

Video can also form part of an AI visibility strategy, particularly when people are asking questions that can be answered clearly through demonstrations or explanations.

Company representatives and founders can create useful videos themselves. The important factor is that the content should provide genuinely helpful information rather than simply promote the business.

Question-and-answer videos can be particularly useful when they address the same issues customers are asking AI tools.

Clear transcripts can also make the information contained in videos easier to understand and organise. However, publishing a transcript or video does not guarantee that an AI system will cite it.

A better approach is to identify the questions first, create useful answers around them and then monitor whether the content begins appearing among the sources for those searches.

Turn the Findings Into Practical Tasks

An AI citation audit becomes much more useful when the findings are turned into specific actions.

Instead of simply reporting that a competitor appears more often than your business, identify exactly where the difference occurs and what could realistically be done about it.

The work could involve:

Improving product descriptions and other information on your own website.
Updating relevant third-party listings.
Building a stronger presence on review platforms.
Creating useful video content around common customer questions.
Contributing genuinely helpful information to relevant online communities.
Identifying opportunities for relevant editorial coverage.
Reviewing competitor mentions and looking for legitimate ways to gain similar visibility.

Each opportunity can then be assigned to the appropriate person or team, whether that is SEO, content, outreach, social media or community management.

Keep Monitoring AI Answers

AI search is still developing, so a citation audit should not be treated as a one-off exercise.

The same customer questions can be checked regularly to see whether the cited sources change and whether your brand begins appearing more frequently.

Tracking the results by platform can also reveal whether a strategy is having an effect in one AI search engine but not another.

Traditional SEO still matters, but AI visibility adds another layer to the way businesses need to think about search. Understanding which sources are shaping the answers customers see can provide a clearer starting point for deciding where content and marketing efforts should be focused.

For businesses looking to improve their presence in AI search, the first step is not necessarily creating more content. It is understanding which sources are already influencing the answers and where genuine gaps exist.