How do customer questions become AI search answers?

Do AI search tools need special files or formatting to find your content?

Not for Google, which says its AI features need no special files or markup. It lists llms.txt files and cutting pages into tiny chunks among the things you can ignore.

Google's guide to its generative AI features, last updated July 10, 2026, says Google Search ignores LLMS.txt files and other special markup, so they neither help nor harm. There is no ideal page length, structured data is not required, and the models understand synonyms, so nothing needs rewriting for AI. Our piece on whether to add an llms.txt file goes further.

Google also warns that separate pages for every way people phrase a search, made mainly to steer rankings or AI answers, break its scaled content abuse spam policy. If you hear one question on calls in five wordings, you need one good answer.

Does ranking well in Google search matter for AI answers too?

Yes, because Google's AI features pull from the same index through the same ranking systems. A page has to be indexed and eligible to show with a snippet in regular Search before AI Overviews or AI Mode can use it.

Google calls this grounding. Its ranking systems retrieve current pages from the index, and the model writes a response linking to them. From Google's side, optimizing for AI search (what some call AEO or GEO) is still SEO. Our piece on domain authority and AI citations looks at what trust means here.

The step that matters most for customer questions is query fan-out, where the model runs related searches alongside the one it was asked. Google's example, fixing a lawn full of weeds, fans out to the best herbicides for lawns, removing weeds without chemicals, and preventing weeds. Those read to us like the follow-ups a buyer asks on a sales call after the first question.

Google sets commodity content like "7 Tips for First-Time Homebuyers" against first-hand experience, and our piece on finding recurring objections in sales calls covers pulling those questions out of real conversations.

Which sites get cited most often right now?

In Google's AI Overviews, YouTube and Reddit lead by a wide margin in Ahrefs' September 2026 data. Facebook, google.com, and Instagram complete the top five.

Ahrefs ranked the most-cited domains in AI Overviews from its Brand Radar data, across more than 3 million US queries. YouTube had 22.9 percent mention share, Reddit 18.5, Facebook 10.1, google.com 8.8, and Instagram 5.6. That is each domain's share of all citations to the top 50 sources, updated monthly. LinkedIn sat 19th at 0.6 percent.

Our own count looks different. Our AI Recommendation Index asks ChatGPT five fixed buyer questions every week, and across six weekly runs, the newest run October 10, 2026, it cited 140 different domains, none in every run and none from Ahrefs' top five. That is a different engine and a far narrower set of questions, so the lists do not contradict each other. They depend on which tool is asked, and what.

Does getting cited mean you get credited by name?

Usually it does not. In Semrush's study of four AI engines, most citations linked to a source without the answer naming the brand behind it.

Semrush's ghost citations study, run with Kevin Indig and published June 9, 2026, looked at 3,981 domain appearances across four AI engines. Cited and named came to 13.2 percent, and named with no citation to 25.1 percent. The other 61.7 percent were what Indig calls ghost citations, a source link with the brand never named in the answer.

ChatGPT cited a source 87 percent of the time and named a brand in 20.7 percent, while Gemini named in 83.7 percent and cited in 21.4. Medium.com was cited 16 times and never named.

Names and links are separate counts, and neither tells you who clicked. Before touching anything, our AI search work captures how each major AI tool answers the questions that matter in your category, who it names and who it cites, then reports your answer share against that baseline every month. Movement usually shows in one to three months.

The kind of question changes the odds. Comparative prompts with "best", "vs", or "recommend" named a brand 43.3 percent of the time. Informational ones, the "what is" and "how does" questions, were cited 89.3 percent of the time and named a brand in 18 percent.