Across every post in this vertical series, one recommendation keeps repeating: add a short, specific FAQ section. It's worth pulling that thread on its own, because a well built FAQ page does something a homepage or a services page rarely does on its own. It matches the exact phrasing a real person uses when they ask an AI assistant a question, which makes it disproportionately easy for a model to lift directly into an answer.
Why FAQs punch above their weight for AI visibility
Most website copy is written to persuade: "the finest," "unrivalled," "a warm welcome awaits." That kind of language gives an AI model almost nothing to work with, because it isn't a fact. An FAQ, by contrast, is naturally written as a question and a direct answer, which is structurally close to how a person phrases a prompt and how a model constructs a response. "Do you allow dogs" followed by a plain yes or no and a short detail is about as close as web copy gets to matching the shape of an actual AI query.
Writing questions the way customers actually ask them
The most common mistake is writing FAQ questions the way a business thinks about its own operations, rather than the way a customer actually phrases the question. "What is our cancellation policy" is how a business frames it internally. "Can I get a refund if I cancel" is closer to how someone actually asks, whether they're typing into a search box or speaking to an AI assistant. Pull real questions from emails, phone enquiries, and reviews where customers ask something directly, and use that exact phrasing as the FAQ heading wherever possible.
What a strong answer looks like
Keep each answer short, specific, and self contained. A model pulling from an FAQ to construct an answer generally uses a sentence or two, not a full paragraph, so the most useful sentence should come first, with any extra detail after it. Avoid answers that depend on a linked page to make sense. "Yes, we allow dogs in all rooms and the restaurant, with a small supplement per stay" is complete on its own. "Please see our pet policy for full details" forces a model to either omit the fact entirely or guess.
Structure and markup matter too
Use real heading and paragraph markup for each question and answer, not styled text inside a single block of copy or an image. Where it fits your platform, FAQPage schema markup gives an AI crawler an explicit, structured signal that this section is a list of questions and answers, which reinforces the plain text version rather than replacing it. Both together are stronger than either alone.
How many questions is enough
There's no fixed number, but breadth matters more than length. Eight to twelve genuinely common questions, each answered in two or three sentences, tends to outperform three questions answered at exhaustive length. Cover booking or purchasing logistics, pricing, policies specific to your category, and anything customers ask repeatedly that isn't obvious from the rest of the site.
Where to start
List the five questions your team answers most often by phone or email that aren't already answered clearly on the site. Write each one as the customer would ask it, answer it in two or three plain sentences, and publish it as a proper FAQ section with real markup. It's a same day task with no design dependency, and it's one of the more direct ways to align your content with how AI assistants are actually being asked about your business.