How to find which websites AI search engines cite in your industry.

Why the cited pages matter.

When an AI assistant such as ChatGPT, Gemini or Google's AI Overviews answers a buying question, it often runs a web search first and writes its answer from the pages it finds. The pages it cites are the ones it read. If those pages are lists of tools that leave you out, the assistant has no reason to name you, however good your own site is.

So the list of cited pages in your industry is a list of places to be. Some are pages you can get added to. Some are pages you can outdo with one of your own. A few are out of reach, and knowing which is which saves months.

We asked Gemini this question, "How do I find out which websites AI search engines cite in my industry?", on 27 September 2026. It searched for "how ai search engines cite sources" and "finding sources cited by ai search engines for specific industries", then cited 12 pages, several from companies that sell AI visibility tools, such as Peec AI, Otterly.AI, Frase and Conductor. Its first two suggestions were a tool that records the sources and testing the questions by hand. Both work. The rest of this article is how to do each well, and what our own records show.

What 84 Gemini answers cited.

outrankfast tracks 14 buying questions for its own site, about AI marketing tools and AI visibility trackers, and stores each answer Gemini gives, grounded with Google Search. Between 17 and 27 September 2026 that came to 84 answers. All 84 searched the web before answering, and together they cited 849 links to 328 different pages on 244 websites.

Three patterns stood out.

• Each answer cites a handful of sites, and the handful changes. An answer cited between 5 and 12 websites, about 10 on average. But 133 of the 244 websites were cited in one answer only. A single check shows you a sample of the sources, not the set.
• A few sites recur. Marketer Milk and Zapier were each cited in 25 of the 84 answers, Zapier through two separate lists of tools cited in 16 and 15. Salesforce and Northwestern University came next, at 21 each.
• Nearly all answers cited a list. 79 of the 84 answers cited at least one page whose address reads like a list, with "best", "top", "tools", "options" or "alternatives" in it.

The question decides which kind of page gets cited.

The sources were not one industry-wide list. They changed with the kind of question, and the change was consistent enough to plan around.

Read down the table and three kinds of source appear:

• Broad questions went to big names. "How do I get better marketing insights using AI?" drew explainers from IBM, Harvard and a university blog. Few small businesses will displace those pages; aim elsewhere.
• "How do I" questions went to guides that match the question. The two guides cited most on the tracking question, OpenLink's and Omni Online Strategies', have addresses that read almost like the question: how to track whether AI is recommending your business. Gemini's most frequent search on that question, in 8 of 10 answers, was "tracking ai recommendations for business".
• "Best tools" questions went to lists. Some were written by publishers, like Zapier's; others by vendors in the category, like Rivo's and Nightwatch's. A vendor's own list names that vendor, and the assistant reads it like any other page.

Your industry will have its own names in these slots, and the same method finds them.

How to find the cited sites in your industry, by hand.

You need a spreadsheet and about an hour a day for a week.

1. Write down 10 to 20 buying questions. Use the words your buyers use, and mix the kinds: "best X for Y", "X vs Y", "alternative to X", "how do I". Your sales calls and support inbox are the best source of phrasing.
2. Ask each question in the assistants your buyers use, with web search on. Most show the pages they used as links in or under the answer. Start a fresh chat each time, with memory turned off where the assistant allows it, so earlier chats do not steer the answer.
3. Record the full address of each cited page, not only the site, along with the question, the assistant and the date. Two pages on the same site can serve different questions, as Zapier's two lists did.
4. Repeat on at least three to five different days. The pages that come back day after day are the ones that matter. The rest are noise.
5. Count, for each page, how many answers cited it, and sort. Then label each page by type: a list of options, a how-to guide, an explainer, a forum thread, a review site, or a competitor's own blog.

For Google's AI Overviews and AI Mode, one shortcut is missing: Google counts appearances in its AI features inside Search Console's overall Web traffic and does not report them separately (Google Search Central). Search Console can tell you a page was seen, not that an AI answer cited it.

Read the searches as well as the sources.

The cited pages tell you what the assistant read. The searches it ran tell you why. Google describes its AI features as issuing "multiple related searches across subtopics" to build one answer, a technique it calls query fan-out.

If you can see the searches, run them yourself in Google and note the top results. Those pages are the candidates the assistant chooses from, including ones it did not cite this time. And the wording of the searches is the wording your page's title and first paragraph should answer. On our tracking question, Gemini's searches were close to the question itself: "tracking ai recommendations for business", "how to monitor ai business recommendations".

A chat window will not always show you the searches. Gemini's API returns them with each grounded answer, which is how outrankfast records them.

Tools that collect the sources for you.

Doing this by hand across several assistants gets slow after the first week. Gemini's own answer pointed to Peec AI, Omnia and Otterly.AI, which each publish guides on tracking cited sources, and most AI visibility trackers now store the sources behind each answer. The best AI recommendation tracking tools compares their prices and the assistants each one covers.

outrankfast measures Gemini, grounded with Google Search, and keeps each answer's full text, searches and cited pages. Its Sources view ranks the pages Gemini keeps going back to across all your tracked questions, next to the searches it ran to find them. The free plan tracks 3 questions every 30 days; Watch tracks 15 daily for $49 a month.

What to do with the list.

Sort the pages by what you can do about each:

• Lists of options that leave you out. Contact the publisher with the facts they need to add you: what you do, who it is for, your price. Publishers update lists; a list updated with you in it is a page the assistant already reads.
• Guides that answer a question you could answer better. Write your own page on the same question, with a title close to the question's wording and the answer in the first paragraph. How to write pages AI answer engines cite covers the page itself.
• Competitors' own lists. You will not get onto a competitor's list of tools. Your answer is a fair list of your own.
• Forum threads. Reddit was cited in 11 of our 84 answers. Answer the thread as yourself, say who you are, and help the person asking.
• Explainers from universities and large companies. Mostly out of reach. Spend your time on the other four.

Then keep the list current. The sources move from week to week, and a new page can join them once it is indexed and the assistant's searches reach it. How to get your business recommended by ChatGPT and Gemini puts this step in the order we would do the rest.