How to discover which websites LLMs cite for your market

Across the prompts you're tracking, LLMs may cite your own website, competitors, publishers, forums, retailers and other third-party sources. Understanding which domains recur across those results can reveal the websites appearing as sources within the LLM landscape you're monitoring.

For businesses developing Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO) strategies, this provides valuable evidence about the sources contributing to AI search visibility across their market.

With Pi's LLM Monitoring tools, you can identify the domains and URLs cited across your tracked prompts, investigate where those citations appear and explore how your own domain fits into the wider source landscape.

The objective isn't simply to ask:

“Which website has the most citations?”

It's to understand:

That creates a progression from:

Tracked market → cited domains → query context → cited URLs → site-level evidence → market intelligence

Pi Datametrics helps teams investigate the websites cited across the LLM results returned for prompts they're already tracking.

AI Prompt Explorer provides a view of cited domains across selected tracked prompts, helping you identify frequently appearing sources and investigate citation evidence at query and group level.

When a particular domain warrants closer investigation, AI Site Monitoring provides additional site-level evidence, including citation presence, associated queries and cited URLs.

Together, these views help you move from:

Which websites are being cited?

to:

Where are they appearing within the market we're monitoring, and what can that source landscape tell us?

The value isn't simply identifying frequently cited websites. It's understanding the mix of sources appearing across the conversations that matter to your market.

Your citation landscape is only as relevant as the prompts you're analysing. Start by selecting the workspace and query groups in AI Prompt Explorer that represent the products, categories or customer needs you want to investigate.

This lets you examine different parts of your tracked prompt set separately rather than treating every monitored prompt as one dataset. The distinction matters because the websites cited around one customer need or product category may differ from those appearing elsewhere in your market.

The starting question is therefore:

Which part of our monitored market do we want to understand?

Once you've established that scope, you can investigate the sources appearing within it.

In AI Prompt Explorer, the Most cited domains chart shows the top 10 domains most frequently cited across the selected tracked prompts for the specified date. Each domain is broken down by query group, helping you see how its citations are distributed across the areas you're monitoring.

This gives you an initial view of the websites appearing prominently as sources within that part of your monitored market.

You might see different types of sites appearing, including:

Don't treat this as a simple ranking of which website is most important to the market. Citation frequency tells you how often a domain appears within the selected evidence, not why an LLM cited it or how authoritative that website is.

Because the chart displays only the top 10 domains, a website that doesn't appear may still have citation presence within the selected tracked prompts. Understanding the role of individual sources requires further investigation.

The headline domain view tells you which sites recur. The next step is to investigate where their citations appear across the tracked prompts. The Queries and Groups views in AI Prompt Explorer provide additional citation evidence at individual query and group level.

This can help you investigate questions such as:

This moves the analysis beyond:

“These are the most cited websites.”

towards:

“This is where different sources appear across the market we're monitoring.”

Two domains with similar overall citation presence may appear within very different areas of the tracked prompt set. Understanding that difference helps you identify which sources are relevant to particular customer conversations.

Once you've identified the domains being cited, look at the source landscape collectively rather than treating each website as an isolated result.

Ask:

The purpose isn't to assume that frequent citation makes one type of source inherently more authoritative or valuable. Instead, the evidence helps you understand which kinds of websites LLMs are referencing within the tracked conversations you're investigating.

This may reveal a source landscape that looks quite different from the competitor set you traditionally monitor. Commercial competitors may be only one part of the picture, alongside publishers, specialist resources and other third-party sites.

Your LLM citation landscape isn't necessarily the same as your commercial competitor landscape.

When a domain stands out in the market-level evidence, move into AI Site Monitoring to investigate it more closely. This provides site-level citation evidence across the LLM results you're monitoring.

This is useful when you want to move from:

“This domain appears prominently within our tracked market.”

to:

“What does its citation presence look like in more detail?”

You can then investigate the selected site's citation presence, associated queries and cited URLs.

The purpose here isn't primarily to analyse change over time — that's a separate monitoring use case. Instead, AI Site Monitoring helps you understand the citation evidence behind a domain you've already identified as significant within the source landscape.

A domain-level citation count only tells part of the story.

Within the individual-site view in AI Site Monitoring, you can investigate the query groups and URLs associated with the site's citations.

This helps you investigate:

This is where an interesting domain becomes more useful as market intelligence.

Rather than knowing only that a publisher, competitor or specialist website is frequently cited, you can identify which pages contribute to its presence and the customer conversations in which those pages appear.

Once you understand the wider source landscape, you can investigate where your own domain fits within it. Select your domain in AI Site Monitoring to examine its citation evidence in more detail. The Domain citations view lets you compare the selected site's citation presence with the average of the top 10 competitors.

You can then examine the query groups and individual URLs associated with your citation presence.

This changes the question from:

“Are LLMs citing our website?”

to:

“Where does our website appear within the wider source landscape we're monitoring?”

Avoid reducing that comparison to a simple winner or loser.

The more useful analysis is to understand which areas of the tracked market your website is cited within, which pages are appearing and where other sources have presence that may warrant further investigation.

The websites LLMs cite can reveal a source landscape that extends beyond your usual commercial competitors.

Once you've identified the recurring domains, organise them according to the role they appear to play within the evidence you're investigating.

For example:

This isn't a classification provided by Pi. It's a simple analytical framework for interpreting the domain, query and URL evidence.

The purpose is to move beyond a list of websites and ask:

What does the mix of sources tell us about the information landscape surrounding this market?

Use those findings to prioritise which domains, customer conversations or cited pages deserve closer investigation.

Understanding which websites LLMs cite isn't simply about producing a leaderboard of domains.

With AI Prompt Explorer, you can identify the domains appearing across your tracked LLM results and investigate where those citations occur across queries and groups.

AI Site Monitoring then lets you examine important domains in greater detail, including the query and URL evidence associated with their citation presence.

That creates a repeatable workflow:

Define the monitored market → identify recurring cited domains → investigate where they appear → examine important sites → understand query and URL evidence → put your own domain into context

This market intelligence can inform AEO and GEO strategies by highlighting relevant customer conversations, influential sources within the monitored results and areas where your own content may warrant further investigation or improvement.

The objective isn't simply to know who LLMs cite most. It's to understand which sources make up the citation landscape around your market, where those sources appear and what that evidence suggests you should investigate next.